Towards personalization of diabetes therapy using computerized decision support and machine learning: Some open problems and challenges

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

Volumn 8700, Issue , 2015, Pages 237-260

  Donsa, Klaus ^a   Spat, Stephan ^a   Beck, Peter ^a   Pieber, Thomas R ^a,b   Holzinger, Andreas ^b  

^a JOANNEUM RESEARCH   (Austria)

^b MEDICAL UNIVERSITY OF GRAZ   (Austria)

Author keywords

Decision support; Diabetes mellitus; Machine learning; Personalization

Indexed keywords

ARTIFICIAL INTELLIGENCE; INSULIN; LEARNING SYSTEMS; PATIENT TREATMENT; PATTERN RECOGNITION; PATTERN RECOGNITION SYSTEMS;

ACTIVITY RECOGNITION; ANTI-DIABETIC DRUGS; COMPUTERIZED DECISION; DECISION SUPPORTS; DIABETES MELLITUS; MACHINE LEARNING TECHNOLOGY; PERSONALIZATIONS; PROBLEMS AND CHALLENGES;

DECISION SUPPORT SYSTEMS;

EID: 84924358381     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-16226-3_10     Document Type: Article

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