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Titolo:
Prognostic methods in medicine
Autore:
Lucas, PJF; Abu-Hanna, A;
Indirizzi:
Univ Utrecht, Dept Comp Sci, NL-3508 TB Utrecht, Netherlands Univ UtrechtUtrecht Netherlands NL-3508 TB 3508 TB Utrecht, Netherlands Univerlandsdam, Acad Med Ctr, Dept Med Informat, NL-1105 AZ Amsterdam, Neth Univ Amsterdam Amsterdam Netherlands NL-1105 AZ -1105 AZ Amsterdam, Neth
Titolo Testata:
ARTIFICIAL INTELLIGENCE IN MEDICINE
fascicolo: 2, volume: 15, anno: 1999,
pagine: 105 - 119
SICI:
0933-3657(199902)15:2<105:PMIM>2.0.ZU;2-O
Fonte:
ISI
Lingua:
ENG
Soggetto:
KNOWLEDGE; PREDICTION; MODELS;
Keywords:
medical prognostic models; medical AI; machine learning; medical decision making;
Tipo documento:
Editorial Material
Natura:
Periodico
Settore Disciplinare:
Clinical Medicine
Citazioni:
28
Recensione:
Indirizzi per estratti:
Indirizzo: Lucas, PJF Univ Utrecht, Dept Comp Sci, POB 80089, NL-3508 TB Utrecht, Netherlands Univ Utrecht POB 80089 Utrecht Netherlands NL-3508 TB herlands
Citazione:
P.J.F. Lucas e A. Abu-Hanna, "Prognostic methods in medicine", ARTIF INT M, 15(2), 1999, pp. 105-119

Abstract

Prognosis-the prediction of the course and outcome of disease processes-plays an important role in patient management tasks like diagnosis and treatment planning. As a result, prognostic models form an integral part of a number of systems supporting these tasks. Furthermore, prognostic models constitute instruments to evaluate the quality of health care and the consequences of health care policies by comparing predictions according to care normswith actual results. Approaches to developing prognostic models vary from using traditional probabilistic techniques, originating from the field of statistics, to more qualitative and model-based techniques, originating fromthe field of artificial intelligence (AI). In this paper, various approaches to constructing prognostic models, with emphasis on methods from the field of AI, are described and compared. (C) 1999 Elsevier Science B.V. All rights reserved.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 27/11/20 alle ore 22:29:13