A Study on the Explainability of Thyroid Cancer Prediction:SHAP Values and Association-Rule Based Feature Integration Framework

In the era of advanced machine learning techniques,the development of accurate predictive models for complex medical conditions,such as thyroid cancer,has shown remarkable progress.Accurate predictivemodels for thyroid cancer enhance early detection,improve resource allocation,and reduce overtreatment.However,the widespread adoption of these models in clinical practice demands predictive performance along with interpretability and transparency.This paper proposes a novel association-rule based feature-integratedmachine learning model which shows better classification and prediction accuracy than present state-of-the-artmodels.Our study also focuses on the application of SHapley Additive exPlanations(SHAP)values as a powerful tool for explaining thyroid cancer prediction models.In the proposed method,the association-rule based feature integration framework identifies frequently occurring attribute combinations in the dataset.The original dataset is used in trainingmachine learning models,and further used in generating SHAP values fromthesemodels.In the next phase,the dataset is integrated with the dominant feature sets identified through association-rule based analysis.This new integrated dataset is used in re-training the machine learning models.The new SHAP values generated from these models help in validating the contributions of feature sets in predicting malignancy.The conventional machine learning models lack interpretability,which can hinder their integration into clinical decision-making systems.In this study,the SHAP values are introduced along with association-rule based feature integration as a comprehensive framework for understanding the contributions of feature sets inmodelling the predictions.The study discusses the importance of reliable predictive models for early diagnosis of thyroid cancer,and a validation framework of explainability.The proposed model shows an accuracy of 93.48%.Performance metrics such as precision,recall,F1-score,and the area under the receiver operating characteristic(AUROC)are also higher than the baseline models.The results of the proposed model help us identify the dominant feature sets that impact thyroid cancer classification and prediction.The features{calcification}and{shape}consistently emerged as the top-ranked features associated with thyroid malignancy,in both association-rule based interestingnessmetric values and SHAPmethods.The paper highlights the potential of the rule-based integrated models with SHAP in bridging the gap between the machine learning predictions and the interpretability of this prediction which is required for real-world medical applications.

Predictive value of diaphragm ultrasound for mechanical ventilation outcome in patients with acute exacerbation of chronic obstructive pulmonary disease

BACKGROUND Acute exacerbation of chronic obstructive pulmonary disease(AECOPD)is often combined with respiratory failure,which increases the patient's morbidity and mortality.Diaphragm ultrasound(DUS)has developed rapidly in the field of critical care in recent years.Studies with DUS monitoring diaphragm-related rapid shallow breathing index have demonstrated important results in guiding intensive care unit patients out of the ventilator.Early prediction of the indications for withdrawal of non-invasive ventilator and early evaluation of patients to avoid or reduce disease progression are very important.AIM To explore the predictive value of DUS indexes for non-invasive ventilation outcome in patients with AECOPD.METHODS Ninety-four patients with AECOPD who received mechanical ventilation in our hospital from January 2022 to December 2023 were retrospectively analyzed,and they were divided into a successful ventilation group(68 cases)and a failed ventilation group(26 cases)according to the outcome of ventilation.The clinical data of patients with successful and failed noninvasive ventilation were compared,and the independent predictors of noninvasive ventilation outcomes in AECOPD patients were identified by multivariate logistic regression analysis.RESULTS There were no significant differences in gender,age,body mass index,complications,systolic pressure,heart rate,mean arterial pressure,respiratory rate,oxygen saturation,partial pressure of oxygen,oxygenation index,or time of inspiration between patients with successful and failed mechanical ventilation(P>0.05).The patients with successful noninvasive ventilation had shorter hospital stays and lower partial pressure of carbon dioxide(PaCO_(2))than those with failed treatment,while potential of hydrogen(pH),diaphragm thickening fraction(DTF),diaphragm activity,and diaphragm movement time were significantly higher than those with failed treatment(P<0.05).pH[odds ratio(OR)=0.005,P<0.05],PaCO_(2)(OR=0.430,P<0.05),and DTF(OR=0.570,P<0.05)were identified to be independent factors influencing the outcome of mechanical ventilation in AECOPD patients.CONCLUSION The DUS index DTF can better predict the outcome of non-invasive ventilation in AECOPD patients.

Clinical Value of Predictive Nursing Intervention on Deep Venous Thrombosis of Lower Extremities after Cesarean Section

[Objectives]To explore the clinical nursing value of predictive nursing intervention in patients with deep venous thrombosis of lower extremities after cesarean section.[Methods]From December 2022 to April 2023,105 pregnant and lying-in women who were hospitalized in the Gynecology Department of Pingquan Hospital and underwent cesarean section and met the inclusion criteria were included as the study objects.According to the medical records,they were divided into observation group(n=52 cases)and control group(n=53 cases).The clinical experimental subjects were divided into two groups.One group was the control group with routine nursing,and the other group was the observation group with predictive nursing intervention.The number of cases of deep venous thrombosis of lower extremities in the two groups was recorded to evaluate the clinical value.[Results]The incidence of deep venous thrombosis of lower extremities in the two groups after cesarean section was compared,and it was suggested that the incidence of the observation group was lower than that of the control group(P<0.05).[Conclusions]Special predictive nursing intervention can greatly reduce the incidence of deep venous thrombosis of lower extremities after cesarean section,improve nursing satisfaction,and improve clinical efficacy,which is worthy of recommendation.

Prediction of Total Output Value of Construction Industry in Jiangxi Province Based on Grey Prediction Model

In order to realize the accurate prediction of the total output value of construction industry in the future,the grey prediction model is used to compare the measured value with the predicted value from 2012 to 2021,and based on the existing data,the total output value of construction industry in Jiangxi Province in the next five years is predicted.The results show that the grey prediction model has a good prediction effect,and the error between the predicted value and the measured value is within 14%,which provides a basis for policy adjustment and resource optimization.

Predictive Value of Serum pgRNA on HBeAg Clearance in Patients with Chronic Hepatitis B with Low HBeAg Levels Treated with Pegylated Interferon

Objective:To study the predictive value of serum pregenomic RNA(pgRNA)on HBeAg clearance in patients with chronic hepatitis B with low HBeAg levels during pegylated interferon therapy.Methods:Twenty chronic hepatitis B patients with HBeAg positive and quantitative<50S/CO were selected for this study.The subjects underwent pegylated interferon therapy for 48-96 weeks and were followed up in the outpatient clinic after treatment.The patients were then divided into groups based on whether their HbeAg turned negative.The predictive ability of each indicator for HBeAg negative conversion was evaluated in the HBeAg negative group and the HBeAg positive group.Results:The results of logistic regression analysis suggested that pgRNA and HBcrAg were better indicators for predicting the clearance of HBeAg after treatment.Conclusion:For patients with chronic hepatitis B with low HBeAg levels,pgRNA is a good indicator in predicting HBeAg clearance during pegylated interferon therapy.

Optimization approach of background value and initial item for improving prediction precision of GM(1,1) model

A combination method of optimization of the back-ground value and optimization of the initial item is proposed. The sequences of the unbiased exponential distribution are simulated and predicted through the optimization of the background value in grey differential equations. The principle of the new information priority in the grey system theory and the rationality of the initial item in the original GM（1,1） model are ful y expressed through the improvement of the initial item in the proposed time response function. A numerical example is employed to il ustrate that the proposed method is able to simulate and predict sequences of raw data with the unbiased exponential distribution and has better simulation performance and prediction precision than the original GM（1,1） model relatively.

Predictive value and main determinants of abnormal features of intraoperative cholangiography during cholecystectomy

BACKGROUND:The major issue with intraoperative cholangiography (IOC) is whether its diagnostic accuracy for common bile duct (CBD) stones matches that of other diagnostic procedures,and thus,whether it will become a routine diagnostic procedure.The current study aimed to address the main determinants of CBD stone diagnosis in IOC among an Iranian population.METHODS:In a retrospective review database-based study conducted in Taleghani Hospital in Tehran between 2006 and 2008,baseline data and perioperative information of 2060 patients (male to female ratio 542:1518,mean age 53.7 years) who were candidates for cholecystectomy and underwent concomitant IOC for confirming CBD stones were reviewed.The predictive power of this procedure for diagnosis of abnormal biliary ducts with the focus on biliary stones was determined.RESULTS:Overall mortality and morbidity following cholecystectomy in the study population were 0.6% and 2.6%,respectively.Both early mortality and morbidity due to cholecystectomy were higher in male than female.The prevalence of CBD stones in IOC was 3.4% (5.2% in male and 2.8% in female,P=0.008).Among those without gallstones,8.7% had CBD stones and only 3.1% had concomitant gallstones and CBD stones.The main predictors of stone appearance as an abnormal feature of IOC during cholecystectomy were:advanced age (OR=1.022,P=0.001),male gender (OR=1.498,P=0.050),history of abdominal surgery (OR=1.543,P=0.040) and preoperative endoscopic retrograde cholangiopancreatography (OR=5.400,P<0.001).CONCLUSIONS:IOC is a safe and accurate method for the assessment of bile duct anatomy and stones.Therefore,the routine use of IOC within cholecystectomy seems reasonable and is recommended.

Coronary artery calcium score:Re-evaluation of its predictive value for coronary artery disease

Coronary artery disease is the leading cause of death in advanced countries and its prevalence is increasing among the developing countries.Cardiac computed tomography(CT) has been increasingly used in the diagnosis of coronary artery disease due to its rapid improvements in multislice CT scanners over the last decade,and this less-invasive technique has become a potentially effective alternative to invasive coronary angiography.Quantifying the amount of coronary artery calcium with cardiac CT has been widely accepted as a reliable non-invasive technique for predicting risk of future cardiovascular events.However,the main question that remains uncertain is whether routine,widespread coronary artery calcium scoring in an individual patient will result in an overall improvement in quality of care and clinical outcomes.In this commentary,we discuss a current issue of the clinical value of coronary artery calcium scoring with regard to its value of predicting adverse cardiac events.We also discuss the applications of coronary artery calcium scores in patients with different risk groups.

Predictive value of hypo-osmotic swelling test to identifyviable non-motile sperm

Aim: To determine the predictive value of the hypo-osmotic swelling (HOS) test to identify viable, non-motile sperm. Methods: Semen samples from 20 men with severe asthenozoospermia underwent traditional seminal analysis, eosin-nigrosin (EN) staining and the HOS test. A further EN stain was then performed on a HOS pre-treated aliquot and a total of 2000 further sperm examined. Results: The median sperm density was 5.1 million/mL (IQR 4.3-13.1) and the median motility was 3.0 % (IQR 0-7). Seven samples showed complete asthenozoospermia. Initial EN staining showed 59 % viability (range 48-69) despite the poor standard parameters and 47 % (range 33-61) in the complete asthenozoospermia subgroup. The HOS test showed 49.9 % reacted overall (range 40-59) and 41.7 % (range 22-61) in the complete asthenozoospermia subgroup. The combined HOS/EN stain showed the positive predictive value of the HOS test to identify viable sperm was 84.2 % overall and 79.7 % in the complete asthenozoospermia subgroup. Conclusion: The HOS test can effectively predict sperm viability in patients with severe and complete asthenozoospermia.

Predictive Value of Initial Serum Human Chorionic Gonadotropin Levels for Pregnancies after Single Fresh and Frozen Blastocyst Transfer

As one of the earliest markers for predicting pregnancy outcomes, human chorionic gonadotropin(h CG) values have been inconclusive on reliability of the prediction after frozen and fresh embryo transfer(ET). In this retrospective study, patients with positive h CG(day 12 after transfer) were included to examine the h CG levels and their predictive value for pregnancy outcomes following 214 fresh and 1513 vitrified-warmed single-blastocyst transfer cycles. For patients who got clinical pregnancy, the mean initial h CG value was significantly higher after frozen cycles than fresh cycles, and the similar result was demonstrated for patients with live births(LB). The difference in h CG value existed even after adjusting for the potential covariates. The area under curves(AUC) and threshold values calculated by receiver operator characteristic curves were 0.944 and 213.05 m IU/m L for clinical pregnancy after fresh ET, 0.894 and 399.50 m IU/m L for clinical pregnancy after frozen ET, 0.812 and 222.86 m IU/m L for LB after fresh ET, and 0.808 and 410.80 m IU/mL for LB after frozen ET with acceptable sensitivity and specificity, respectively. In conclusion, single frozen blastocyst transfer leads to higher initial h CG values than single fresh blastocyst transfer, and the initial h CG level is a reliable predictive factor for predicting IVF outcomes.

Value of pre-treatment biomarkers in prediction of response to neoadjuvant endocrine therapy for hormone receptor-positive postmenopausal breast cancer

Objective： To determine the predictive ability of biomarkers for responses to neoadjuvant endocrine therapy （NET） in postmenopausal breast cancer. Methods： Consecutive 160 postmenopausal women with T 1-3 N 0-1 M 0 hormone receptor （HR）-positive invasive breast cancer were treated with anastrozole for 16 weeks before surgery. New slides of tumor specimens taken before and after treatment were conducted centrally for biomarker analysis and classified using the Applied Imaging Ariol MB-8 system. The pathological response was evaluated using the Miller ＆ Payne classification. The cell cycle response was classified according to the change in the Ki67 index after treatment. Multivariable logistic regression analysis was used to calculate the combined index of the biomarkers. Receiver operating characteristic （ROC） curves were used to determine whether parameters may predict response. Results： The correlation between the pathological and cell cycle responses was low （Spearman correlation coefficient =0.241, P〈0.001; Kappa value =0.119, P=0.032）. The cell cycle response was significantly associated with pre-treatment estrogen receptor （ER） status （P=0.001）, progesterone receptor （PgR） status （P〈0.001）, human epidermal growth factor receptor 2 （Her-2） status （P=0.050） and the Ki67 index （P〈0.001）, but the pathological response was not correlated with these factors. Pre-treatment ER levels [area under the curve （AUC） =0.634, 95% confidence interval （95% CI）, 0.534-0.735, P=0.008] and combined index of pre-treatment ER and PgR levels （AUC =0.684, 95% CI, 0.591-0.776, P〈0.001） could not predict the cell cycle response, but combined index including per-treatment ER/PR/Her-2/Ki67 expression levels could （AUC =0.830, 95% CI, 0.759-0.902, P〈0.001）. Conclusions： The combined use of pre-treatment ER/PgR/Her-2/Ki67 expression levels, instead of HR expression levels, may predict the cell cycle response to NET.

Expression and predictive value of miR-489 and miR-21 in melanoma metastasis

BACKGROUND Melanoma is a highly malignant skin tumour, and is one of the most rapidly growing malignant tumors in recent years. According to statistics, the morbidity of cancer increases with age, accounting for 1.6% of new cancer cases and 0.6% of deaths worldwide. Melanoma has a serious impact on society and families, thus it is of great significance to find biological markers related to the diagnosis and treatment of melanoma.AIM To explore the expression and predictive value of mir-489 and mir-21 in melanoma metastasis.METHODS A total of 60 patients with malignant melanoma treated at our hospital from June2017 to December 2018 were selected as a research group, while 40 healthy subjects were selected as a control group. qRT-PCR technique was used to detect miR-489 and miR-21 in serum of the two groups. ROC curve was drawn to evaluate the predictive value and diagnostic efficiency. Spearman test was used for correlation analysis. Logistic single-and multiple-factor analyses were performed to identify the risk factors related to melanoma metastasis.RESULTS The expression of miR-489 in the research group was significantly lower than that in the control group(P < 0.001). However, the expression of miR-21 in the research group was significantly higher than that in the control group(P < 0.001).The expression of miR-489 and miR-21 was related to TNM stage and metastasis(P < 0.001). In the diagnosis of melanoma patients, the sensitivity, specificity, and AUC of miR-489 alone were 75.56%, 80.00%, and 0.852, respectively. The sensitivity, specificity, and AUC of miR-21 alone were 77.78%, 82.22%, and 0.844,respectively. MiR-489 was negatively correlated with TNM stage of melanoma(r=-0.612, P < 0.001), while miR-21 was positively correlated with TNM stage(r =0.609, P < 0.001). Logistic single-and multiple-factor regression analyses showed that TNM stage, miR-489, and mir-21 were independent risk factors for malignant melanoma metastasis.CONCLUSION MiR-489 and miR-21 may participate in the process of melanoma occurrence,development, and metastasis, and can be used as potential serum biomarkers for melanoma metastasis diagnosis and disease assessment.

Estimation of Higher Heating Value for MSW Using DSVM and BSOA

In recent decades,the generation of Municipal Solid Waste(MSW)is steadily increasing due to urbanization and technological advancement.The col-lection and disposal of municipal solid waste cause considerable environmental degradation,making MSW management a global priority.Waste-to-energy(WTE)using thermochemical process has been identified as the key solution in this area.After evaluating many automated Higher Heating Value(HHV)predic-tion approaches,an Optimal Deep Learning-based HHV Prediction(ODL-HHVP)model for MSW management has been developed.The objective of the ODL-HHVP model is to forecast the HHV of municipal solid waste,based on its oxy-gen,water,hydrogen,carbon,nitrogen,sulphur and ash constituents.In addition,the ODL-HHVP model contains a Deep Support Vector Machine(DSVM)regres-sion component that can accurately predict the HHV.In addition,the Beetle Swarm Optimization(BSO)method is utilised as a hyperparameter optimizer in conjunction with the DSVM model,resulting in the highest HHV prediction accu-racy.A comprehensive simulation study is conducted to validate the performance of the ODL-HHVP method.The Multiple Linear Regression(MLR),Genetic Pro-gramming(GP),Resilient backpropagation(RP),Levenberg Marquardt(LM)and DSVM approaches have attained an ineffective result with RMSEs of 4.360,2.870,3.590,3.100 and 3.050,respectively.The experimentalfindings demon-strate that the ODL-HHVP technique outperforms existing state-of-art technolo-gies in a variety of respects.

A discussion on the application of b-value to the prediction of seismic tendency

In the estimation of seismic tendency, using Gutenberg-Richters b-value and using Hurst exponent are two com-monly used methods. Based on the fractal geometry of earthquake time series, we point out that these two methods correlate to each other. In the perspective of fractional Brownian motion (FBM), an earthquake sequence with b>3/4 and that with b<3/4 have different dynamic properties.

Early peripheral perfusion index predicts 28-day outcome in patients with septic shock

BACKGROUND:To investigate the prognostic value of the peripheral perfusion index(PPI)in patients with septic shock.METHODS:This prospective cohort study,conducted at the emergency intensive care unit of Peking University People's Hospital,recruited 200 patients with septic shock between January 2023 and August 2023.These patients were divided into survival(n=84)and death(n=116)groups based on 28-day outcomes.Clinical evaluations included laboratory tests and clinical scores,with lactate and PPI values assessed upon admission to the emergency room and at 6 h and 12 h after admission.Risk factors associated with mortality were analyzed using univariate and multivariate Cox regression analyses.Receiver operator characteristic(ROC)curve was used to assess predictive performance.Mortality rates were compared,and Kaplan-Meier survival plots were created.RESULTS:Compared to the survival group,patients in the death group were older and had more severe liver damage and coagulation dysfunction,necessitating higher norepinephrine doses and increased fl uid replacement.Higher lactate levels and lower PPI levels at 0 h,6 h,and 12 h were observed in the death group.Multivariate Cox regression identifi ed prolonged prothrombin time(PT),decreased 6-h PPI and 12-h PPI as independent risk factors for death.The area under the curves for 6-h PPI and 12-h PPI were 0.802(95%CI 0.742-0.863,P<0.001)and 0.945(95%CI 0.915-0.974,P<0.001),respectively,which were superior to Glasgow Coma Scale(GCS),Sequential Organ Failure Assessment(SOFA)scores(0.864 and 0.928).Cumulative mortality in the low PPI groups at 6 h and 12 h was signifi cantly higher than in the high PPI groups(6-h PPI:77.52%vs.22.54%;12-h PPI:92.04%vs.13.79%,P<0.001).CONCLUSION:PPI may have value in predicting 28-day mortality in patients with septic shock.

Retrospective Study Immune function status of postoperative patients with colon cancer for predicting liver metastasis

BACKGROUND Colon cancer(CC)has a high incidence rate.Radical resection is the main treatment method for CC;however,liver metastasis(LM)often occurs post-surgery.The liver contains both innate and adaptive immune cells that monitor and remove abnormal cells and pathogens.Before LM,tumor cells secrete cytokines and exosomes to adjust the immune microenvironment of the liver,thus forming an inhibitory immune microenvironment for colonization by circulating tumor cells.This indicates that the immune state of patients with CC plays a crucial role in the occurrence and progression of LM.AIM To observe and analyze the relationship between immune status and expression of tumor factors in patients with LM of CC,and to provide a scientific interven-tion method for promoting the patient prognosis.METHODS A retrospective analysis was performed.The baseline data of 100 patients with CC and 100 patients with CC who suffered from postoperative LM and were admitted to our hospital from May 2021 to May 2023 were included in the non-occurrence and occurrence groups,respectively.The immune status of the pa-tients and the expression of tumor factor-related indicators in the two groups were compared,and the predictive value of the indicators for postoperative LM in patients with CC was analyzed.RESULTS Compared with the non-occurrence group,the expression of serum carcinoem-bryonic antigen(CEA),CA19-9,CA242,CA72-4 and CA50 in patients in the occurrence group were significantly higher,while the expression of CD3+,CD4+,CD8+,natural killer(NK)and CD4+/CD25 in patients in the occurrence group were significantly lower(P<0.05).No significant difference was observed in other baseline data between groups(P>0.05).Multivariate logistic regression model analysis revealed that the expressions of CEA,CA19-9,CA242,CA72-4,CA50,CD3+,CD4+,CD8+,NK,and CD4+/CD25 were associated with the LM in patients with CC.High expressions of serum CEA,CA19-9,CA242,CA72-4 and CA50,and low expressions of CD3+,CD4+,CD8+,NK,and CD4+/CD25 in patients with CC were risk factors for LM(OR>1,P<0.05).The receiver operating characteristic curve showed that the area under curve for CEA,CA19-9,CA242,CA72-4,CA50,CD3+,CD4+,CD8+,NK,and CD4+/CD25 in the prediction of LM in patients with CC were all>0.80,with a high predictive value.CONCLUSION The expression of tumor factors and immune state-related indices in patients with CC is closely associated with the occurrence of LM.

Relation of predictive value to sensitivity and specificity of a diagnostic test

This paper discusses how the positive and negative predictive values vary withcontrary variations of sensitivity and specificity at a certain disease prevalence.Let thesensitiviy be Se and the specificity be Sp at the initial cutoff point,correspondingly Se’and Sp’ at a new cutoff point:A=Se’/Se:B-(1-Sp’)/(1-Sp):C=Sp’/Sp;D=(I-Se’)/(I-Se).Moving the cutoff point from the initial point to the new point,if the contrary variationsof the sensitivity and specificity satisfy the inequality A】B,then the positive predictivevalue increases,otherwise it decreases or remains unchanged.If the variations satisfy theinequality C】D,then the negative prcdictive value increases,otherwise it decreasses or re-mains unchanged.

Calculation of b value and its application in earthquake prediction

The improved calculation method of b value is presented in tills paper. The method can enlarge the role of earthquake occurrence frequency in b value calculation and thus increase the b value variation amplitude. In this case,the combination structure variation between earthquake magnitudes and corresponding frequencies could be shown clearly. According to the calculation and analysis for limited mainshocks in the complete seismicity data of selected monitored area with assigned consistent lowest magnitude, the precursor anomaly features, quantitative indexes and the calculation formula of relative subject function of b value variation have been preliminarily worked out. The prediction in short period (from 1 to 3 months) for damage earthquakes in the monitored area mentioned above can be put forward on the basis of the results of quantitative calculation and analysis.

Diagnostic Accuracy and Predictive Value of Clinical Symptoms for the Diagnosis of Mild COVID-19

Objective: To assess the diagnostic accuracy and predictive values of clinical symptoms in patients with suspected mild COVID-19 to identify target groups for self-isolation and outpatient treatment without additional testing. Methods: We conducted an open-label prospective study in patients aged 18 to 72 years with suspected mild COVID-19. The clinical diagnosis was based on the acute onset of such symptoms as olfactory dysfunction, hyperthermia, myalgia, nasal congestion, nasal discharge, cough, rhinolalia, sore throat, without pneumonia in persons in contact with a confirmed case of COVID-19. The physician assessed clinical symptoms using a 4-point scale. The patient self-assessed clinical symptoms using a ten-point visual analogue scale (VAS). All enrolled patients underwent laboratory testing to confirm the diagnosis of COVID-19. Results: Of the 120 patients underwent testing, the diagnosis of mild COVID-19 was confirmed in 96 patients and ruled out in 24 patients. When assessing symptoms by a physician according to the correlation analysis, hyperthermia, myalgia, nasal congestion and rhinolalia have a positive predictive value with a significance level of more than 0.6. When self-assessing symptoms by a patient, fever, myalgia and nasal congestion have a diagnostic accuracy with a significance level of more than 0.5. Nasal discharge, cough and sore throat have negative predictive values. Conclusion: The presence of these symptoms in patients with an acute onset of the disease can help to make a clinical diagnosis of coronavirus disease and identify target groups for self-isolation and outpatient treatment without additional testing. Highly suspect asymptomatic patients are not considered as those who have possible mild COVID-19 infection.

ASP-Based Programs of Best Linear Unbiased Prediction-Estimated Breeding Values in Breeding Stock

In order to improve the breeding effect of livestock, the data were read from an Excel file with Active Server Page （ASP） programs, and the breeding values of breeding stock were calculated by best linear unbiased prediction （BLUP） method.