Artif Intell Med 2018 May 7;87:34-48. Epub 2018 Apr 7.
Laboratoire de vision et systèmes numériques, Département de génie électrique et de génie informatique, Université Laval, Québec, QC G1V 0A6, Canada. Electronic address:
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Methods Inf Med 2011 21;50(4):380-5. Epub 2011 Jun 21.
Faculty of Medicine, Thammasat University, Rangsit Campus, Paholyotin Road, Pathumthani 12120, Thailand.
Objectives: The objectives of this research were to test the ability of classification algorithms to predict the cause of death in the mortality data with unknown causes, to find association between common causes of death, to identify groups of countries based on their common causes of death, and to extract knowledge gained from data mining of the World Health Organization mortality database.
Methods: The WEKA software version 3.5. Read More
Comput Biol Med 2016 10 6;77:125-34. Epub 2016 Aug 6.
KU Leuven, Dept. of Decision Sciences and Information Management, Naamsestraat 69, B-3000 Leuven, Belgium.
Objective: The aim of this study is to guide healthcare instances in applying process analytics on healthcare processes. Process analytics techniques can offer new insights in patient pathways, workflow processes, adherence to medical guidelines and compliance with clinical pathways, but also bring along specific challenges which will be examined and addressed in this paper.
Methods: The following methodology is proposed: log preparation, log inspection, abstraction and selection, clustering, process mining, and validation. Read More
Int J Med Inform 2017 06 30;102:138-149. Epub 2017 Mar 30.
Biomedical Informatics Laboratory, Heart Institute (InCor) Clinical Hospital, Faculty of Medicine, University of Sao Paulo, Sao Paulo, Brazil.
Introduction: An electronic healthcare record (EHR) system, when used by healthcare providers, improves the quality of care for patients and helps to lower costs. Information collected from manual or electronic health records can also be used for purposes not directly related to patient care delivery, in which case it is termed secondary use. EHR systems facilitate the collection of this secondary use data, which can be used for research purposes like observational studies, taking advantage of improvement in the structuring and retrieval of patient information. Read More