Temporal abstraction and temporal Bayesian networks in clinical domains: A survey

Abstract Objectives Temporal abstraction (TA) of clinical data aims to abstract and interpret clinical data into meaningful higher-level interval concepts. Abstracted concepts are used for diagnostic, prediction and therapy planning purposes. On the other hand, temporal Bayesian networks (TBNs) are...

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Veröffentlicht in:	Artificial intelligence in medicine 2014-03, Vol.60 (3), p.133-149
Hauptverfasser:	Orphanou, Kalia, Stassopoulou, Athena, Keravnou, Elpida
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Artificial Intelligence Bayes Theorem Bayesian networks Biological and medical sciences Clinical Trials as Topic - methods Computer science control theory systems Computerized management (medical records, files, hospital management) Computerized, statistical medical data processing and models in biomedicine Diabetes. Impaired glucose tolerance Endocrine pancreas. Apud cells (diseases) Endocrinopathies Exact sciences and technology Information retrieval. Graph Internal Medicine Knowledge Medical knowledge-based systems Medical sciences Other Speech and sound recognition and synthesis. Linguistics Temporal abstraction Temporal Bayesian networks Temporal reasoning Theoretical computing Time
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