SCOPUS 정보 검색 플랫폼

Artificial Intelligence in Medicine

Volumn 25, Issue 3, 2002, Pages 247-264

NasoNet, modeling the spread of nasopharyngeal cancer with networks of probabilistic events in discrete time

(4) Galan S F a Aguado, F b Diez F J a Mira, J a

a UNIVERSIDAD NACIONAL DE EDUCACIÓN A DISTANCIA (Spain)

b HOSPITAL CLÍNICO SAN CARLOS (Spain)

Author keywords

Bayesian networks; Cancer diagnosis and prognosis; Causality; Probabilistic temporal reasoning; Temporal noisy gates

Indexed keywords

ARTIFICIAL INTELLIGENCE; DIAGNOSIS; PATIENT TREATMENT; PROBABILITY;

BAYESIAN NETWORK;

TUMORS;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BAYES THEOREM; CANCER DIAGNOSIS; EVALUATION; EXPERT SYSTEM; HUMAN; METASTASIS; NASOPHARYNX CANCER; PRIORITY JOURNAL; PROBABILITY; PROGNOSIS;

ARTIFICIAL INTELLIGENCE; BAYES THEOREM; DISEASE PROGRESSION; HUMANS; MODELS, STATISTICAL; NASOPHARYNGEAL NEOPLASMS; NEOPLASM INVASIVENESS; NEOPLASM STAGING; PROGNOSIS;

EID: 0036268214 PISSN: 09333657 EISSN: None Source Type: Journal
DOI: 10.1016/S0933-3657(02)00027-1 Document Type: Article

Times cited : (32)

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