Predicting the severity of motor neuron disease progression using electronic health record data with a cloud computing big data approach

2014 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2014

Volumn , Issue , 2014, Pages

  Ko, Kyung Dae ^a   El Ghazawi, Tarek ^a   Kim, Dongkyu ^b   Morizono, Hiroki ^b  

^a GEORGE WASHINGTON UNIVERSITY   (United States)

^b CHILDREN'S NATIONAL MEDICAL CENTER   (United States)

Author keywords

ALS; Big data; Cloud computing; Hbase; Mahout; Medical decision support sytem; Randomforest

Indexed keywords

ARTIFICIAL INTELLIGENCE; BIG DATA; BIOINFORMATICS; BRAIN; CLASSIFICATION (OF INFORMATION); CLOUD COMPUTING; DECISION TREES; FORECASTING; HEALTH CARE; NEURONS;

ALS; HBASE; MAHOUT; MEDICAL DECISION SUPPORTS; RANDOMFOREST;

DIAGNOSIS;

EID: 84904430938     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIBCB.2014.6845506     Document Type: Conference Paper

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