Predicting adverse drug events by analyzing electronic patient records

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7885 LNAI, Issue , 2013, Pages 125-129

  Karlsson, Isak ^a   Zhao, Jing ^a   Asker, Lars ^a   Boström, Henrik ^a  

^a STOCKHOLM UNIVERSITY   (Sweden)

Author keywords

adverse drug events; electronic patient records; machine learning

Indexed keywords

ARTIFICIAL INTELLIGENCE; DECISION TREES; LEARNING ALGORITHMS; LEARNING SYSTEMS;

ADVERSE DRUG EVENTS; ELECTRONIC PATIENT RECORD; LARGE DATABASE; PATIENT SAFETY; PREDICTIVE MODELS; RANDOM FOREST ALGORITHM; RISK ESTIMATES; SOURCES OF INFORMATIONS;

DIAGNOSIS;

EID: 84887287057     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-38326-7_19     Document Type: Conference Paper

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