Identifying informative risk factors and predicting bone disease progression via deep belief networks

Methods

Volumn 69, Issue 3, 2014, Pages 257-265

  Li, Hui ^a   Li, Xiaoyi ^a   Ramanathan, Murali ^b   Zhang, Aidong ^a  

^a State University of New York   (United States)

^b UNIVERSITY AT BUFFALO   (United States)

Author keywords

Bone fracture; Deep belief networks (DBNs); Informative risk factors; Osteoporosis prediction; Restricted Boltzmann machine (RBM)

Indexed keywords

ARTICLE; BONE DISEASE; DEEP BELIEF NETWORK; DISEASE COURSE; ELECTRONIC MEDICAL RECORD; INFORMATION PROCESSING; MACHINE LEARNING; OSTEOPOROSIS; PRIORITY JOURNAL; RISK ASSESSMENT; RISK FACTOR; SEMANTICS; DATA MINING; FRACTURE; HUMAN; PATHOLOGY; PROSPECTIVE STUDY; QUALITY OF LIFE; THEORETICAL MODEL;

DATA MINING; DISEASE PROGRESSION; FRACTURES, BONE; HUMANS; MODELS, THEORETICAL; OSTEOPOROSIS; PROSPECTIVE STUDIES; QUALITY OF LIFE; RISK ASSESSMENT; RISK FACTORS;

EID: 84927125365     PISSN: 10462023     EISSN: 10959130     Source Type: Journal    
DOI: 10.1016/j.ymeth.2014.06.011     Document Type: Article

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