The unavailability of sufficient information for proper diagnosis,incomplete or miscommunication between patient and the clinician,or among the healthcare professionals,delay or incorrect diagnosis,the fatigue of clin...The unavailability of sufficient information for proper diagnosis,incomplete or miscommunication between patient and the clinician,or among the healthcare professionals,delay or incorrect diagnosis,the fatigue of clinician,or even the high diagnostic complexity in limited time can lead to diagnostic errors.Diagnostic errors have adverse effects on the treatment of a patient.Unnecessary treatments increase the medical bills and deteriorate the health of a patient.Such diagnostic errors that harm the patient in various ways could be minimized using machine learning.Machine learning algorithms could be used to diagnose various diseases with high accuracy.The use of machine learning could assist the doctors in making decisions on time,and could also be used as a second opinion or supporting tool.This study aims to provide a comprehensive review of research articles published from the year 2015 to mid of the year 2020 that have used machine learning for diagnosis of various diseases.We present the various machine learning algorithms used over the years to diagnose various diseases.The results of this study show the distribution of machine learning methods by medical disciplines.Based on our review,we present future research directions that could be used to conduct further research.展开更多
Objective:To determine whether the OraQuick(?).HIV-1/2 Assay(OraSure Technologies, Inc.,Bethlehem,PA,USA) in sputum is a valid tool for HIV surveillance among TB patients. Methods:A cross sectional study was carried o...Objective:To determine whether the OraQuick(?).HIV-1/2 Assay(OraSure Technologies, Inc.,Bethlehem,PA,USA) in sputum is a valid tool for HIV surveillance among TB patients. Methods:A cross sectional study was carried out on sputa of patients diagnosed with tuberculosis.Sputa were tested for antibodies to HIV using OraQuick. HIV-1/2 Assay(OraSure Technologies,Inc.,Bethlehem,PA,USA).The results were compared with results of serum ELISA.Results:Compared to serum ELISA,the OraQuick(?).HIV-1/2 Assay in sputum specimens reported 90%sensitivity(9/10)and 100%specificity(307/307),with a positive predictive value of 100%(95%CI:66.37%-100.00%)and a negative predictive value of 99.68%(95%CI:98.20%-99.99%). Conclusions:This testing method may provide a useful strategy for conducting HIV surveillance in possible co-infected TB patients at peripheral centres.Since there is no investment on infrastructure,it may be possible for paramedical health professionals to carry out the test. particularly in areas with low HIV endemicity.展开更多
Catastrophic sesmic events, such as a sudden collapse of open pits and underground excavations,as well as a vast surface subsidence induced by mining activities, present serious dangers to the modem infrastructure . I...Catastrophic sesmic events, such as a sudden collapse of open pits and underground excavations,as well as a vast surface subsidence induced by mining activities, present serious dangers to the modem infrastructure . In fact these "sudden" events are the result of long-term preparatory processes, which are occurring in mine pillars and ambient rock.The kinetic approach was proposed for the descripiton of the preparatory process.The process presents a stochastic accumulation of defects in rock caused by a long-term redistribution of stress-strain in an ambient rock massif. Case studies related to mining activities at Zhezkazgan copper mines, Rep. kazakhstan, were coni\sidered.As was shown the seismic monitoring is a good method for forecasting catastrophic caving and surface subsidence.展开更多
基金supported in part by Zayed University,office of research under Grant No.R17089.
文摘The unavailability of sufficient information for proper diagnosis,incomplete or miscommunication between patient and the clinician,or among the healthcare professionals,delay or incorrect diagnosis,the fatigue of clinician,or even the high diagnostic complexity in limited time can lead to diagnostic errors.Diagnostic errors have adverse effects on the treatment of a patient.Unnecessary treatments increase the medical bills and deteriorate the health of a patient.Such diagnostic errors that harm the patient in various ways could be minimized using machine learning.Machine learning algorithms could be used to diagnose various diseases with high accuracy.The use of machine learning could assist the doctors in making decisions on time,and could also be used as a second opinion or supporting tool.This study aims to provide a comprehensive review of research articles published from the year 2015 to mid of the year 2020 that have used machine learning for diagnosis of various diseases.We present the various machine learning algorithms used over the years to diagnose various diseases.The results of this study show the distribution of machine learning methods by medical disciplines.Based on our review,we present future research directions that could be used to conduct further research.
文摘Objective:To determine whether the OraQuick(?).HIV-1/2 Assay(OraSure Technologies, Inc.,Bethlehem,PA,USA) in sputum is a valid tool for HIV surveillance among TB patients. Methods:A cross sectional study was carried out on sputa of patients diagnosed with tuberculosis.Sputa were tested for antibodies to HIV using OraQuick. HIV-1/2 Assay(OraSure Technologies,Inc.,Bethlehem,PA,USA).The results were compared with results of serum ELISA.Results:Compared to serum ELISA,the OraQuick(?).HIV-1/2 Assay in sputum specimens reported 90%sensitivity(9/10)and 100%specificity(307/307),with a positive predictive value of 100%(95%CI:66.37%-100.00%)and a negative predictive value of 99.68%(95%CI:98.20%-99.99%). Conclusions:This testing method may provide a useful strategy for conducting HIV surveillance in possible co-infected TB patients at peripheral centres.Since there is no investment on infrastructure,it may be possible for paramedical health professionals to carry out the test. particularly in areas with low HIV endemicity.
文摘Catastrophic sesmic events, such as a sudden collapse of open pits and underground excavations,as well as a vast surface subsidence induced by mining activities, present serious dangers to the modem infrastructure . In fact these "sudden" events are the result of long-term preparatory processes, which are occurring in mine pillars and ambient rock.The kinetic approach was proposed for the descripiton of the preparatory process.The process presents a stochastic accumulation of defects in rock caused by a long-term redistribution of stress-strain in an ambient rock massif. Case studies related to mining activities at Zhezkazgan copper mines, Rep. kazakhstan, were coni\sidered.As was shown the seismic monitoring is a good method for forecasting catastrophic caving and surface subsidence.
