Title :

Artificial intelligence: bayesian versus heuristic method for diagnostic decision support

Author(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]

Journal title :

Applied clinical informatics

Abbreviated title :

Appl Clin Inform

Volume number :

9

Pages :

432-439

Publication date :

2018-04-01

ISSN :

1869-0327

English keyword(s) :

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

HAL domain(s) :

Sciences du Vivant [q-bio]

English abstract : [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 ...
Show more >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, ppShow less >

Language :

Anglais

Audience :

Internationale

Popular science :

Non

Administrative institution(s) :

CHU Lille
Université de Lille

Collections :

• Autres travaux scientifiques

Submission date :

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