Background: Post myocardial infarction depression is common and puts a negative effect on recovery. Modified Nursing interventions effectively reduce the frequency and severity of depression in such patients. Objectiv...Background: Post myocardial infarction depression is common and puts a negative effect on recovery. Modified Nursing interventions effectively reduce the frequency and severity of depression in such patients. Objective: The study aimed to determine the effectiveness of Modified Nursing Interventions Classification (NIC) in reducing the severity of depression among patients with Myocardial Infarction. Methods: Sixty-eight stable patients with myocardial infarction (>1 month history) having mild to moderate depression in accordance to Patient Health Questionnaire-9 (PHQ-9) [with a score of 5 to 14] were enrolled. Patients were assorted into interventional and control group. Modified Nursing Intervention was offered in Interventional Group. The frequency and effectiveness of Modified Nursing Intervention among the groups were determined and compared. Results: Both moderate and mild level depression was decreased in Intervention Group as compare to Control Group. Baseline mean depression PHQ-9 score was 2.35 point statistically significantly higher in the Control Group than Interventional Group (Conclusion: Modified Nursing intervention is effective in reducing the frequency and severity of depression compared to routine care in patients with Myocardial infarction.展开更多
Renal cysts in pediatric patients are uncommon lesion. A modified Bosniak classification system for renal cysts based on US has been developed to evaluate pediatric renal cysts to identify the simple cyst or cystic tu...Renal cysts in pediatric patients are uncommon lesion. A modified Bosniak classification system for renal cysts based on US has been developed to evaluate pediatric renal cysts to identify the simple cyst or cystic tumour. Never</span><span style="font-family:Verdana;">theless, it is not widely used. In this retrospective study, all incidentally detected renal cysts by ultrasound performed in children and the reproducibility of modified Bosniak classification to guide the radiological and clinical follow up</span><span style="font-family:Verdana;">.展开更多
Objective: To analyze Clavien-Dindo classification and risk factors of complications after pancreaticoduodenectomy and inves-tigate the relationship between the major risk factors and Clavien-Dindo classification of c...Objective: To analyze Clavien-Dindo classification and risk factors of complications after pancreaticoduodenectomy and inves-tigate the relationship between the major risk factors and Clavien-Dindo classification of complications. Methods: The retrospective case-control study was adopted. The clinical data of 200 patients who underwent pancreatico-duodenectomy at the Third Affiliated Hospital of Inner Mongolia Medical University from January 2010 to June 2015 were collected. The patients underwent Whipple procedure or pylorus-preserving pancreaticoduodenectomy according to the tumor site. Observation indicators included: (1) postoperative complications using Clavien-Dindo classification;(2) univariate and multivariate analyses: patients' basic information, surgery-related factors, pancreas-related factors;(3) relationship between independent risk factors and Clavien-Dindo classification of complications after pancreaticoduodenectomy. The chi-square test was applied to univariate analysis and categorical data. The comparison between groups was done by using independent samples nonparametric test (Kolmogorov-Smirnov Z), and multivariate analysis was done by using Logistic regression model. Results: (1) Postoperative complications: Of 200 patients, 122 underwent Whipple procedure and 78 underwent pylorus-preserving pancreaticoduodenectomy, including 6 cases combined with vascular reconstructions and 1 case with RFA of liver tumors. Ninety-eight patients had postoperative complications, including 41 patients with no less than 2 types of complications. After surgery, pancreatic fistula was detected in 80 patients, including 42 cases with grade A, 28 cases with grade B and 10 cases with grade C;incisional infection in 29 patients;gastric retention in 24 patients;intra-abdominal infection in 16 patients;intra-abdominal hemorrhage in 10 patients, including 8 patients receiving interventional treatment;biliary leakage in 7 patients and unplanned reoperation in 2 patients. Three patients were dead during hospitalization. The incidences of complications in grade Ⅰ, Ⅱ, Ⅲ (Ⅲ a and Ⅲ b), Ⅳ and Ⅴ of Clavien-Dindo classification were 28.00% (56/200), 13.00% (26/200), 5.00% (10/200), 1.50% (3/200) and 1.50% (3/200). (2) Univariate and multivariate analyses: The results of univariate analysis showed that body mass index (BMI) and pancreas texture were risk factors affecting complications after pancreaticoduodenectomy (χ2 = 6.483, Z = -3.189, p < .05). The results of multivariate analysis showed that BMI > 23.9 kg/m2 and soft pancreas were independent risk factors affecting complications after pancreaticoduodenectomy (OR = 2.044, 1.649, 95% confidence interval: 1.212-3.447, 1.194-2.275). (3) The relationship between independent risk factors and Clavien-Dindo classification of complications after pancreaticoduodenectomy was analyzed. There were statistically significant differences between BMI or pancreas texture and Clavien-Dindo classification of complications after pancreaticoduodenectomy (χ2 = 13.897, 27.077, p < .05). Conclusions: Clavien-Dindo classification of complications after pancreaticoduodenectomy contributes to comprehensive com-parison and evaluation, and this type of classification in this study mainly refers to grade I and II. Reducing BMI and good management of pancreatic stump may improve Clavien-Dindo classification of complications after pancreaticoduodenectomy.展开更多
This paper addresses the issue of the direction of arrival (DOA) estimation under the compressive sampling (CS) framework. A novel approach, modified multiple signal classification (MMUSIC) based on the CS array...This paper addresses the issue of the direction of arrival (DOA) estimation under the compressive sampling (CS) framework. A novel approach, modified multiple signal classification (MMUSIC) based on the CS array (CSA-MMUSIC), is proposed to resolve the DOA estimation of correlated signals and two closely adjacent signals. By using two random CS matrices, a large size array is compressed into a small size array, which effectively reduces the number of the front end circuit. The theoretical analysis demonstrates that the proposed approach has the advantages of low computational complexity and hardware structure compared to other MMUSIC approaches. Simulation results show that CSAMMUSIC can possess similar angular resolution as MMUSIC.展开更多
An extended self-organizing map for supervised classification is proposed in this paper. Unlike other traditional SOMs, the model has an input layer, a Kohonen layer, and an output layer. The number of neurons in the ...An extended self-organizing map for supervised classification is proposed in this paper. Unlike other traditional SOMs, the model has an input layer, a Kohonen layer, and an output layer. The number of neurons in the input layer depends on the dimensionality of input patterns. The number of neurons in the output layer equals the number of the desired classes. The number of neurons in the Kohonen layer may be a few to several thousands, which depends on the complexity of classification problems and the classification precision. Each training sample is expressed by a pair of vectors : an input vector and a class codebook vector. When a training sample is input into the model, Kohonen's competitive learning rule is applied to selecting the winning neuron from the Kohouen layer and the weight coefficients connecting all the neurons in the input layer with both the winning neuron and its neighbors in the Kohonen layer are modified to be closer to the input vector, and those connecting all the neurons around the winning neuron within a certain diameter in the Kohonen layer with all the neurons in the output layer are adjusted to be closer to the class codebook vector. If the number of training sam- ples is sufficiently large and the learning epochs iterate enough times, the model will be able to serve as a supervised classifier. The model has been tentatively applied to the supervised classification of multispectral remotely sensed data. The author compared the performances of the extended SOM and BPN in remotely sensed data classification. The investigation manifests that the extended SOM is feasible for supervised classification.展开更多
This paper offers a symbiosis based hybrid modified DNA-ABC optimization algorithm which combines modified DNA concepts and artificial bee colony (ABC) algorithm to aid hierarchical fuzzy classification. According to ...This paper offers a symbiosis based hybrid modified DNA-ABC optimization algorithm which combines modified DNA concepts and artificial bee colony (ABC) algorithm to aid hierarchical fuzzy classification. According to literature, the ABC algorithm is traditionally applied to constrained and unconstrained problems, but is combined with modified DNA concepts and implemented for fuzzy classification in this present research. Moreover, from the best of our knowledge, previous research on the ABC algorithm has not combined it with DNA computing for hierarchical fuzzy classification to explore the merits of cooperative coevolution. Therefore, this paper is the first to apply the mechanism of symbiosis to create a hybrid modified DNA-ABC algorithm for hierarchical fuzzy classification applications. In this study, the partition number and the shape of the membership function are extracted by the symbiosis based hybrid modified DNA-ABC optimization algorithm, which provides both sufficient global exploration and also adequate local exploitation for hierarchical fuzzy classification. The proposed optimization algorithm is applied on five benchmark University of Irvine (UCI) data sets, and the results prove the efficiency of the algorithm.展开更多
目的评估改良衰弱指数(Modified frailty index,mFI)和美国麻醉医师协会(American Society of Anesthesiologists,ASA)分级对老年腹腔镜手术患者麻醉相关不良事件的预测价值。方法收集皖南医学院第一附属医院2019年12月至2023年10月行...目的评估改良衰弱指数(Modified frailty index,mFI)和美国麻醉医师协会(American Society of Anesthesiologists,ASA)分级对老年腹腔镜手术患者麻醉相关不良事件的预测价值。方法收集皖南医学院第一附属医院2019年12月至2023年10月行老年腹腔镜手术的102例患者,根据患者术后是否发生麻醉相关不良事件分为发生组(n=23)、未发生组(n=79),比较两组临床资料、mFI、ASA分级,Spearman相关性分析mFI与ASA分级关系,采用受试者工作特征(Receiver operating characteristic,ROC)曲线分析mFI、ASA分级对麻醉相关不良事件的预测价值。结果与未发生组比较,发生组年龄、体质指数(Body mass index,BMI)、合并糖尿病、慢性阻塞性肺疾病(Chronic obstructive pulmonary disease,COPD)比例升高,mFI和ASA分级升高,差异有统计学意义(P<0.05)。mFI与ASA分级呈正相关(r=0.627,P<0.001);衰弱患者发生麻醉相关不良事件的风险是非衰弱患者的4.580倍,ASA分级Ⅲ级患者发生麻醉相关不良事件的风险是Ⅰ~Ⅱ级患者的5.152倍(P<0.05);mFI、ASA分级联合预测麻醉相关不良事件的预测价值优于mFI、ASA分级单独预测(P<0.05)。结论mFI、ASA分级联合能有效预测老年腹腔镜手术患者麻醉相关不良事件发生情况,为临床预测麻醉相关不良事件提供理论依据。展开更多
A novel classification approach called modified center-based feature line(MCFL)is proposed to reduce the computational cost of the nearest feature line(NFL)and maintain the advantages of NFL.Unlike NFL,MCFL defines a ...A novel classification approach called modified center-based feature line(MCFL)is proposed to reduce the computational cost of the nearest feature line(NFL)and maintain the advantages of NFL.Unlike NFL,MCFL defines a different type of feature line and utilizes both the query point’s local information and corresponding class-global information in training set.In experiments provided,the comparisons with the nearest neighbor(NN),NFL,and other NFL-refined approaches show that the computation time of MCFL can be shortened dramatically with less accuracy decreases.MCFL proposed is probably a better choice for the classification application tasks of large-scale dataset.展开更多
文摘Background: Post myocardial infarction depression is common and puts a negative effect on recovery. Modified Nursing interventions effectively reduce the frequency and severity of depression in such patients. Objective: The study aimed to determine the effectiveness of Modified Nursing Interventions Classification (NIC) in reducing the severity of depression among patients with Myocardial Infarction. Methods: Sixty-eight stable patients with myocardial infarction (>1 month history) having mild to moderate depression in accordance to Patient Health Questionnaire-9 (PHQ-9) [with a score of 5 to 14] were enrolled. Patients were assorted into interventional and control group. Modified Nursing Intervention was offered in Interventional Group. The frequency and effectiveness of Modified Nursing Intervention among the groups were determined and compared. Results: Both moderate and mild level depression was decreased in Intervention Group as compare to Control Group. Baseline mean depression PHQ-9 score was 2.35 point statistically significantly higher in the Control Group than Interventional Group (Conclusion: Modified Nursing intervention is effective in reducing the frequency and severity of depression compared to routine care in patients with Myocardial infarction.
文摘Renal cysts in pediatric patients are uncommon lesion. A modified Bosniak classification system for renal cysts based on US has been developed to evaluate pediatric renal cysts to identify the simple cyst or cystic tumour. Never</span><span style="font-family:Verdana;">theless, it is not widely used. In this retrospective study, all incidentally detected renal cysts by ultrasound performed in children and the reproducibility of modified Bosniak classification to guide the radiological and clinical follow up</span><span style="font-family:Verdana;">.
文摘Objective: To analyze Clavien-Dindo classification and risk factors of complications after pancreaticoduodenectomy and inves-tigate the relationship between the major risk factors and Clavien-Dindo classification of complications. Methods: The retrospective case-control study was adopted. The clinical data of 200 patients who underwent pancreatico-duodenectomy at the Third Affiliated Hospital of Inner Mongolia Medical University from January 2010 to June 2015 were collected. The patients underwent Whipple procedure or pylorus-preserving pancreaticoduodenectomy according to the tumor site. Observation indicators included: (1) postoperative complications using Clavien-Dindo classification;(2) univariate and multivariate analyses: patients' basic information, surgery-related factors, pancreas-related factors;(3) relationship between independent risk factors and Clavien-Dindo classification of complications after pancreaticoduodenectomy. The chi-square test was applied to univariate analysis and categorical data. The comparison between groups was done by using independent samples nonparametric test (Kolmogorov-Smirnov Z), and multivariate analysis was done by using Logistic regression model. Results: (1) Postoperative complications: Of 200 patients, 122 underwent Whipple procedure and 78 underwent pylorus-preserving pancreaticoduodenectomy, including 6 cases combined with vascular reconstructions and 1 case with RFA of liver tumors. Ninety-eight patients had postoperative complications, including 41 patients with no less than 2 types of complications. After surgery, pancreatic fistula was detected in 80 patients, including 42 cases with grade A, 28 cases with grade B and 10 cases with grade C;incisional infection in 29 patients;gastric retention in 24 patients;intra-abdominal infection in 16 patients;intra-abdominal hemorrhage in 10 patients, including 8 patients receiving interventional treatment;biliary leakage in 7 patients and unplanned reoperation in 2 patients. Three patients were dead during hospitalization. The incidences of complications in grade Ⅰ, Ⅱ, Ⅲ (Ⅲ a and Ⅲ b), Ⅳ and Ⅴ of Clavien-Dindo classification were 28.00% (56/200), 13.00% (26/200), 5.00% (10/200), 1.50% (3/200) and 1.50% (3/200). (2) Univariate and multivariate analyses: The results of univariate analysis showed that body mass index (BMI) and pancreas texture were risk factors affecting complications after pancreaticoduodenectomy (χ2 = 6.483, Z = -3.189, p < .05). The results of multivariate analysis showed that BMI > 23.9 kg/m2 and soft pancreas were independent risk factors affecting complications after pancreaticoduodenectomy (OR = 2.044, 1.649, 95% confidence interval: 1.212-3.447, 1.194-2.275). (3) The relationship between independent risk factors and Clavien-Dindo classification of complications after pancreaticoduodenectomy was analyzed. There were statistically significant differences between BMI or pancreas texture and Clavien-Dindo classification of complications after pancreaticoduodenectomy (χ2 = 13.897, 27.077, p < .05). Conclusions: Clavien-Dindo classification of complications after pancreaticoduodenectomy contributes to comprehensive com-parison and evaluation, and this type of classification in this study mainly refers to grade I and II. Reducing BMI and good management of pancreatic stump may improve Clavien-Dindo classification of complications after pancreaticoduodenectomy.
基金supported by the National Natural Science Foundation of China(6117119761371045+2 种基金61201307)the Shandong Provincial Natural Science Foundation(ZR2011FM005)the Shandong Provincial Promotive Research Fund for Excellent Young and Middle-aged Scientists(BS2010DX001)
文摘This paper addresses the issue of the direction of arrival (DOA) estimation under the compressive sampling (CS) framework. A novel approach, modified multiple signal classification (MMUSIC) based on the CS array (CSA-MMUSIC), is proposed to resolve the DOA estimation of correlated signals and two closely adjacent signals. By using two random CS matrices, a large size array is compressed into a small size array, which effectively reduces the number of the front end circuit. The theoretical analysis demonstrates that the proposed approach has the advantages of low computational complexity and hardware structure compared to other MMUSIC approaches. Simulation results show that CSAMMUSIC can possess similar angular resolution as MMUSIC.
基金Supported by National Natural Science Foundation of China (No. 40872193)
文摘An extended self-organizing map for supervised classification is proposed in this paper. Unlike other traditional SOMs, the model has an input layer, a Kohonen layer, and an output layer. The number of neurons in the input layer depends on the dimensionality of input patterns. The number of neurons in the output layer equals the number of the desired classes. The number of neurons in the Kohonen layer may be a few to several thousands, which depends on the complexity of classification problems and the classification precision. Each training sample is expressed by a pair of vectors : an input vector and a class codebook vector. When a training sample is input into the model, Kohonen's competitive learning rule is applied to selecting the winning neuron from the Kohouen layer and the weight coefficients connecting all the neurons in the input layer with both the winning neuron and its neighbors in the Kohonen layer are modified to be closer to the input vector, and those connecting all the neurons around the winning neuron within a certain diameter in the Kohonen layer with all the neurons in the output layer are adjusted to be closer to the class codebook vector. If the number of training sam- ples is sufficiently large and the learning epochs iterate enough times, the model will be able to serve as a supervised classifier. The model has been tentatively applied to the supervised classification of multispectral remotely sensed data. The author compared the performances of the extended SOM and BPN in remotely sensed data classification. The investigation manifests that the extended SOM is feasible for supervised classification.
文摘This paper offers a symbiosis based hybrid modified DNA-ABC optimization algorithm which combines modified DNA concepts and artificial bee colony (ABC) algorithm to aid hierarchical fuzzy classification. According to literature, the ABC algorithm is traditionally applied to constrained and unconstrained problems, but is combined with modified DNA concepts and implemented for fuzzy classification in this present research. Moreover, from the best of our knowledge, previous research on the ABC algorithm has not combined it with DNA computing for hierarchical fuzzy classification to explore the merits of cooperative coevolution. Therefore, this paper is the first to apply the mechanism of symbiosis to create a hybrid modified DNA-ABC algorithm for hierarchical fuzzy classification applications. In this study, the partition number and the shape of the membership function are extracted by the symbiosis based hybrid modified DNA-ABC optimization algorithm, which provides both sufficient global exploration and also adequate local exploitation for hierarchical fuzzy classification. The proposed optimization algorithm is applied on five benchmark University of Irvine (UCI) data sets, and the results prove the efficiency of the algorithm.
文摘目的评估改良衰弱指数(Modified frailty index,mFI)和美国麻醉医师协会(American Society of Anesthesiologists,ASA)分级对老年腹腔镜手术患者麻醉相关不良事件的预测价值。方法收集皖南医学院第一附属医院2019年12月至2023年10月行老年腹腔镜手术的102例患者,根据患者术后是否发生麻醉相关不良事件分为发生组(n=23)、未发生组(n=79),比较两组临床资料、mFI、ASA分级,Spearman相关性分析mFI与ASA分级关系,采用受试者工作特征(Receiver operating characteristic,ROC)曲线分析mFI、ASA分级对麻醉相关不良事件的预测价值。结果与未发生组比较,发生组年龄、体质指数(Body mass index,BMI)、合并糖尿病、慢性阻塞性肺疾病(Chronic obstructive pulmonary disease,COPD)比例升高,mFI和ASA分级升高,差异有统计学意义(P<0.05)。mFI与ASA分级呈正相关(r=0.627,P<0.001);衰弱患者发生麻醉相关不良事件的风险是非衰弱患者的4.580倍,ASA分级Ⅲ级患者发生麻醉相关不良事件的风险是Ⅰ~Ⅱ级患者的5.152倍(P<0.05);mFI、ASA分级联合预测麻醉相关不良事件的预测价值优于mFI、ASA分级单独预测(P<0.05)。结论mFI、ASA分级联合能有效预测老年腹腔镜手术患者麻醉相关不良事件发生情况,为临床预测麻醉相关不良事件提供理论依据。
基金This work was supported by the State Key Development Program for Basic Research of China(No.2007CB311006).
文摘A novel classification approach called modified center-based feature line(MCFL)is proposed to reduce the computational cost of the nearest feature line(NFL)and maintain the advantages of NFL.Unlike NFL,MCFL defines a different type of feature line and utilizes both the query point’s local information and corresponding class-global information in training set.In experiments provided,the comparisons with the nearest neighbor(NN),NFL,and other NFL-refined approaches show that the computation time of MCFL can be shortened dramatically with less accuracy decreases.MCFL proposed is probably a better choice for the classification application tasks of large-scale dataset.