DePicT ist ein Konzept zur Umsetzung eines fallbasierten Systems. Die Hauptaufgabe liegt darin, für verschiedene Fälle im Bereich der Medizin das Lehrmaterial zu erweitern. (Medizinstudenten, jungem medizinischen Personal und angehenden Ärzten). Dazu nutzt es den Ansatz des fallbasierten Schließens und vergleicht die eingehende Fragestellung / das eingehende Problem mit den Fällen in der Falldatenbank, um die entsprechenden Materialien zur Verfügung zu stellen.
DePicT CLASS is a case-based learning assistant system to detect and predict disease using image classification and text information. The main objective of DePicT Dementia CLASS is to develop DePicT CLASS concept by enrichment of cases with dementia learning materials (e.g. reference images and textbooks). Each case has a word association profile (DePicT Profile Matrix) of the main keywords which are defined based on the International Classification of Functioning, Disability, and Health framework of WHO (ICF codes) and medical expressions extracted from the references of dementia and its related diseases. Therefore, DePicT Dementia CLASS used DePicT Profile Matrix of WHO-ICF codes and enabled caregivers and patients’ relatives to find their learning materials and references which address the problems that they are looking for. This recommender system proposes a combination of references with the highest value of keyword association strength and collaborative recommendation based on ranked references by the user’s feedback.
This version of DePicT Dementia CLASS Android App comes with one universal variant which will work on all the Android devices.
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