Abstract
The aim of eXplainable Artificial Intelligence (XAI) is to design intelligent systems that can explain their predictions or recommendations to humans. Such systems are particularly desirable for therapeutic decision support, because physicians need to understand rcommendations to have confidence in their application and to adapt them if required, e.g. in case of patient contraindication. We propose here an explainable and visual approach for decision support in antibiotic treatment, based on an ontology. There were three steps to our method. We first generated a tabular dataset from the ontology, containing features defined on various domains and n-ary features. A preference model was then learned from patient profiles, antibiotic features and expert recommendations found in clinical practice guidelines. This model made the implicit rationale of the expert explicit, including the way in which missing data was treated. We then visualized the preference model and its application to all antibiotics available on the market for a given clinical situation, using rainbow boxes, a recently developed technique for set visualization. The resulting preference model had an error rate of 3.5% on the learning data, and 5.2% on test data (10-...Continue Reading
References
Sep 5, 2006·International Journal of Medical Informatics·Karin A Thursky, Michael Mahemoff
Sep 25, 2007·International Journal of Antimicrobial Agents·Leonard LeiboviciSteen Andreassen
Jan 13, 2010·Journal of the American Medical Informatics Association : JAMIA·Annette MoxeySallie-Anne Pearson
Jun 1, 2010·BMC Medical Informatics and Decision Making·Jean-Baptiste LamyAlain Venot
Sep 14, 2011·Journal of Biomedical Informatics·Elpiniki I PapageorgiouDirk Colaert
Sep 24, 2011·BMC Family Practice·Marjolein LugtenbergGert P Westert
Oct 18, 2011·Computer Methods and Programs in Biomedicine·Elpiniki I Papageorgiou
Oct 25, 2011·Journal of Biomedical Informatics·Tiffani J BrightSuzanne Bakken
Sep 7, 2013·Journal of the American Medical Informatics Association : JAMIA·Rosy TsopraCatherine Duclos
Aug 16, 2014·Journal of the American Medical Informatics Association : JAMIA·Jakob HolstiegeDawid Pieper
Jun 19, 2016·International Journal of Medical Informatics·Melissa T BaysariJohanna I Westbrook
Mar 8, 2017·Clinical Microbiology and Infection : the Official Publication of the European Society of Clinical Microbiology and Infectious Diseases·T M RawsonA H Holmes
Aug 19, 2017·Artificial Intelligence in Medicine·Jean-Baptiste Lamy
Feb 13, 2018·Artificial Intelligence in Medicine·Ying ShenKai Lei
May 20, 2018·Artificial Intelligence in Medicine·Rosy TsopraKarima Sedki
Mar 16, 2019·Artificial Intelligence in Medicine·Jean-Baptiste LamyBrigitte Séroussi
May 10, 2019·Journal of Biomedical Informatics·Bernardo Cánovas-SeguraFrancisco Palacios
May 12, 2019·Journal of the American Medical Informatics Association : JAMIA·Rosy TsopraJean-Baptiste Lamy
Jun 11, 2019·IEEE Transactions on Visualization and Computer Graphics·Jean-Baptiste Lamy, Rosy Tsopra
Dec 22, 2019·BMC Family Practice·Jegatha Krishnakumar, Rosy Tsopra