Introduction of affinity set and its application in data-mining example of delayed diagnosis |
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| Authors: | Yuh-Wen Chen Moussa Larbani Cheng-Yen Hsieh Chao-Wen Chen |
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| Affiliation: | 1. Institute of Industrial Engineering and Management of Technology, Da-Yeh University, 112 Shan-Jeau Rd., Da-Tsuen, Chang-Hwa 51505, Taiwan;2. Department of Business Administration, Kulliyyah of Economics and Management Sciences, IIUM University, Jalan Gombak, 53100 Kuala Lumpur, Malaysia;3. Trauma Service, Department of Emergency Medicine, Kaohsiung Medical University Hospital, Taiwan;1. Department of Mathematics, Beijing Jiaotong University, Beijing 100044, PR China;2. LAGIS UMR 8219 CNRS, Ecole centrale de Lille, 59651 Villeneuve d’Ascq, France;1. Department of Interventional Radiology, Stanford University School of Medicine, Stanford, California;2. Department of Statistics, University of California—Berkeley, Berkeley, California;1. Department of Mathematics, Yangzhou University, Yangzhou 225002, China;2. Department of Computer Science, Brunel University London, Uxbridge, Middlesex, UB8 3PH, United Kingdom;3. Shanghai Key Lab of Modern Optical System, Department of Control Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;4. Communication Systems and Networks (CSN) Research Group, Faculty of Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia;1. School of Mathematical Sciences, Shandong Normal University, Ji’nan 250014, Shandong, PR China;2. Department of Mathematics, Bharathiar University, Coimbatore 641 046, Tamil Nadu, India;1. Division of Pulmonary, Critical Care, and Sleep Medicine, University of Cincinnati Medical Center, Cincinnati, OH;2. Division of Biostatistics and Epidemiology, Cincinnati Children''s Hospital Medical Center, Cincinnati, OH;3. Division of Pulmonary Medicine, Cincinnati Children''s Hospital Medical Center, Cincinnati, OH;4. Department of Radiology, Cincinnati Children''s Hospital Medical Center, Cincinnati, OH;5. Division of Neurology, Cincinnati Children''s Hospital Medical Center, Cincinnati, OH;6. Division of Nephrology, Cincinnati Children''s Hospital Medical Center, Cincinnati, OH;7. Division of Pediatric Pulmonary Medicine, Vanderbilt University School of Medicine, Nashville, TN;8. Division of Allergy, Pulmonary, and Critical Care Medicine, Vanderbilt University School of Medicine, Nashville, TN |
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| Abstract: | At least 44,000 people die in hospitals each year as a result of medical errors, and these deaths are becoming the eighth-leading cause of death in the United States. Thus, medical providers have the responsibility to pay attention for reducing avoidable medical errors and improve patient safety as best as they can. It requires the rapid evaluation and prioritisation of life threatening injuries in the primary survey followed by a detailed secondary survey in the emergency room. However, time is always valuable and limited such that some important vital signs may be delayed and ignored. This research explores delayed diagnosis problem and uses the affinity set by Topology concept to classify/focus on key attributes causing delayed diagnosis (missed injury) in order to reduce error risk. Results interestingly indicate that when a patient can breathe normally, but his (or her) blood-pressure or pulse is abnormal, a high probability of delayed diagnosis exists. This affinity work also compares the performance with the model of rough set (Rosetta), neural network, support vector machine and logistic regression. And our affinity model shows its advantage by prediction accuracy and explanation power. |
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