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Predicting a single HIV drug resistance measure from three international interpretation gold standards

Asian Pacific Journal of Tropical Medicine 2012年第7期5卷 566-572页

作者： Singh Yashik mars maurice Department of Telehealth Nelson R Mandela School of MedicineUniversity of KwaZulu-Natal719 Umbilo RoadUmbiloDurbanSouth Africa

Objective:To investigate the possibility of combining the interpretation of three gold standard interpretation algorithms using weighted heuristics in order to produce a single resistancemeasure. Methods:The outputs of HIVdb,Rega,ANRS were combined to obtain a single resistance profile using the equally weighted voting algorithm,accuracy based weighing voting algorithm and the Bayesian based weighted voting algorithm ***:The Bayesian based voting combination increased the accuracy of the resistance profile prediction compared to phenotype,from 58%to 69%.The equal weighted voting algorithm and the accuracy based algorithm both increased the prediction accuracy to 60%.Conclusions:From the result obtained it is evident that combining the gold standard interpretation algorithms may increase the predictive ability of the individual interpretation algorithms.

关键词： Drug resistance Antiretroviral therapy Highly active HIV Artificial intelligence Expert systems

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Testing Point of Care Portable Data Capture in a Hospital HIV Transmission Prevention Programme and Experience from Computerized Patient Management in a Sub-Saharan Clinic Setting

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Computer Technology and Application 2011年第12期2卷 1015-1022页

作者： Michael Kavuma maurice mars Management Sciences for Health Plot 15 Princess Anne Drive Bugolobi P.O Box 71419 Kampala Uganda Department of Tele-Health Nelson R Mandela Medical School University of KwaZulu Natal 719 Umbilo Road 4001 DurbanPrivate Bag 7 Congella 4013 South Africa

Clinicians involved in HIV/AIDS (Human Immunodeficiency Virus/Acquired Immune Deficiency Syndrome) prevention of mother to child transmission (PMTCT) programme and research activities can benefit from the advantages that computerized systems add to medical practice even in resource constrained sub-Saharan clinic settings. Their continued use of paper based systems presents clinical data management and patient care challenges. A portable point of care data capture electronic system and a computerized clinic patient management system (CCPMS) were implemented to remedy these challenges. PMTCT report compilation was easier with the portable data collection system whose data were found to be more complete and accurate with a 0.83% error rate compared to a 4.1% error rate in the paper registers. A resounding majority of clinicians preferred using the new CCPMS with many of the view that it improved drug inventory and general clinic management with a positive effect on patient care.

关键词：便携式数据采集系统病毒传播数据管理撒哈拉预防计算机化医疗艾滋病毒

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