Development of an intelligent app for obstructive sleep apnea prediction on android smartphone using data mining approach

Proceedings - IEEE 9th International Conference on Ubiquitous Intelligence and Computing and IEEE 9th International Conference on Autonomic and Trusted Computing, UIC-ATC 2012

Volumn , Issue , 2012, Pages 774-779

  Tseng, Ming Hseng ^a   Wu, Hui Ching ^a   Chang, Che Chia ^a   Hsu, Hsueh Chen ^b   Ting, Hua ^c   Tang, Ping Hung ^a  

^a CHUNG SHAN MEDICAL UNIVERSITY   (Taiwan)

^b NATIONAL TSING HUA UNIVERSITY   (Taiwan)

^c CHUNG SHAN MEDICAL UNIVERSITY HOSPITAL   (Taiwan)

Author keywords

Android Smartphone; Apps; Data mining; Decision rules; Obstructive sleep apnea

Indexed keywords

APPS; CARDIO-VASCULAR DISEASE; COMPUTING CAPABILITY; DAILY LIVES; DATA SETS; DECISION RULES; EARLY DIAGNOSIS; LARGE SCREEN; MEDICAL DECISION MAKING; MEDICAL WORK; METABOLIC SYNDROMES; OBSTRUCTIVE SLEEP APNEA; PREVENTIVE MEDICINES; RESEARCH DIRECTIONS; SLEEP APNEA SYNDROME;

DATA MINING; HAND HELD COMPUTERS; PATIENT TREATMENT; POPULATION STATISTICS; ROBOTS; SIGNAL ENCODING; SLEEP RESEARCH; SMARTPHONES; UBIQUITOUS COMPUTING;

DIAGNOSIS;

EID: 84869772127     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/UIC-ATC.2012.89     Document Type: Conference Paper

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