Forecasting depression in bipolar disorder

IEEE Transactions on Biomedical Engineering

Volumn 59, Issue 10, 2012, Pages 2801-2807

  Moore, Paul J ^a   Little, Max A ^a,b   McSharry, Patrick E ^a   Geddes, John R ^a   Goodwin, Guy M ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b MIT MEDIA LAB   (United States)

Author keywords

Autoregressive (AR) processes; Gaussian processes; health information management psychiatry; public healthcare; time series analysis

Indexed keywords

ADULT POPULATIONS; AUTOREGRESSIVE PROCESS; BIPOLAR DISORDER; CORRELATION STRUCTURE; DATA SETS; EXPONENTIAL SMOOTHING; GAUSSIAN PROCESS REGRESSION; GAUSSIAN PROCESSES; HEALTH INFORMATION MANAGEMENT; LONG-TERM RISKS;

GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); HEALTH CARE; INFORMATION MANAGEMENT; TEXT MESSAGING; TIME SERIES ANALYSIS;

FORECASTING;

ALGORITHM; ARTICLE; BIPOLAR DISORDER; DEPRESSION; EXPONENTIAL SMOOTHING; FORECASTING; GAUSSIAN PROCESS REGRESSION; HUMAN; MOOD CHANGE; RATING SCALE; SELF CONCEPT; TEXT MESSAGING;

ADULT; AFFECT; AGED; ALGORITHMS; BIPOLAR DISORDER; DEPRESSION; FEMALE; HUMANS; MALE; MIDDLE AGED; MODELS, PSYCHOLOGICAL; MODELS, STATISTICAL; QUESTIONNAIRES;

EID: 84866555868     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2012.2210715     Document Type: Article

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