Assessing bipolar episodes using speech cues derived from phone calls

Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST

Volumn 100, Issue , 2014, Pages 103-114

  Muaremi, Amir ^a   Gravenhorst, Franz ^a   Grünerbl, Agnes ^b   Arnrich, Bert ^c   Tröster, Gerhard ^a  

^a ETH ZURICH   (Switzerland)

^b France   (Germany)

^c BOGAZICI UNIVERSITY   (Turkey)

Author keywords

Bipolar disorder; Phone calls; Smartphone; Voice analysis

Indexed keywords

DECISION TREES; FORECASTING; UBIQUITOUS COMPUTING;

ACOUSTIC FEATURES; BIPOLAR DISORDER; CLASSIFICATION MODELS; F1 SCORES; PHONE CALLS; PHONE CONVERSATIONS; RANDOM FOREST CLASSIFICATION; VOICE ANALYSIS;

TELEPHONE SETS;

EID: 84910621164     PISSN: 18678211     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-319-11564-1_11     Document Type: Conference Paper

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