a mathematical framework for combining decisions of multiple experts toward accurate and remote diagnosis of malaria using tele-microscopy一个数学框架,结合多个专家对决策准确、使用tele-microscopy远程诊断疟疾.pdfVIP

A Mathematical Framework for Combining Decisions of Multiple Experts toward Accurate and Remote Diagnosis of Malaria Using Tele-Microscopy 1,2 1,2. 1,2. 1,2 3 Sam Mavandadi , Steve Feng , Frank Yu , Stoyan Dimitrov , Karin Nielsen-Saines , William R. Prescott4, Aydogan Ozcan1,2,5,6* 1 Electrical Engineering Department, University of California Los Angeles, Los Angeles, California, United States of America, 2 Bioengineering Department, University of California Los Angeles, Los Angeles, California, United States of America, 3 Division of Infectious Diseases, Department of Pediatrics, School of Medicine, University of California Los Angeles, Los Angeles, California, United States of America, 4 Hydas World Health, Hershey, Pennsylvania, United States of America, 5 California NanoSystems Institute, University of California Los Angeles, Los Angeles, California, United States of America, 6 Department of Surgery, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, United States of America Abstract We propose a methodology for digitally fusing diagnostic decisions made by multiple medical experts in order to improve accuracy of diagnosis. Toward this goal, we report an experimental study involving nine experts, where each one was given more than 8,000 digital microscopic images of individual human red blood cells and asked to identify malaria infected cells. The results of this experiment reveal that even highly trained medical experts are not always self-consistent in their diagnostic decisions and that there exists a fair level of disagreement among experts, even for binary decisions (i.e., infected vs. uninfected). To tackle this general medical diagnosis problem, we propose a pr