Titre :

Artificial intelligence: bayesian versus heuristic method for diagnostic decision support

Auteur(s) :

Elkin, Peter L. [Auteur]
University at Buffalo [SUNY] [SUNY Buffalo]
Schlegel, Daniel R. [Auteur]
University at Buffalo [SUNY] [SUNY Buffalo]
Anderson, Michael [Auteur]
University at Buffalo [SUNY] [SUNY Buffalo]
Komm, Jordan [Auteur]
University at Buffalo [SUNY] [SUNY Buffalo]
Ficheur, Gregoire [Auteur]
University at Buffalo [SUNY] [SUNY Buffalo]
Bisson, Leslie [Auteur]
University at Buffalo [SUNY] [SUNY Buffalo]

Titre de la revue :

Applied clinical informatics

Nom court de la revue :

Appl Clin Inform

Numéro :

9

Pagination :

432-439

Date de publication :

2018-04-01

ISSN :

1869-0327

Mot(s)-clé(s) en anglais :

clinical informatics
computer-assisted decision making
decision support algorithm
professional training
education
disease management
new diagnosis
computer-assisted diagnosis
knowledge modeling and representation
clinical information systems
specific types
knowledge management
clinical information
clinical decision support
process management tools

Discipline(s) HAL :

Sciences du Vivant [q-bio]

Résumé en anglais : [en]

Evoking strength is one of the important contributions of the field of Biomedical Informatics to the discipline of Artificial Intelligence. The University at Buffalo's Orthopedics Department wanted to create an expert ...
Lire la suite >Evoking strength is one of the important contributions of the field of Biomedical Informatics to the discipline of Artificial Intelligence. The University at Buffalo's Orthopedics Department wanted to create an expert system to assist patients with self-diagnosis of knee problems and to thereby facilitate referral to the right orthopedic subspecialist. They had two independent sports medicine physicians review 469 cases. A board-certified orthopedic sports medicine practitioner, L.B., reviewed any disagreements until a gold standard diagnosis was reached. For each case, the patients entered 126 potential answers to 26 questions into a Web interface. These were modeled by an expert sports medicine physician and the answers were reviewed by L.B. For each finding, the clinician specified the sensitivity (term frequency) and both specificity (Sp) and the heuristic evoking strength (ES). Heuristics are methods of reasoning with only partial evidence. An expert system was constructed that reflected the posttest odds of disease-ranked list for each case. We compare the accuracy of using Sp to that of using ES (original model, ppLire moins >

Langue :

Anglais

Audience :

Internationale

Vulgarisation :

Non

Établissement(s) :

CHU Lille
Université de Lille

Collections :

• Autres travaux scientifiques

Date de dépôt :

2019-12-09T18:18:30Z
2024-04-03T07:50:27Z