Multi-task learning with selective cross-task transfer for predicting bleeding and other important patient outcomes

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2015

Volumn , Issue , 2015, Pages

  Ngufor, Che ^a   Upadhyaya, Sudhindra ^a   Murphree, Dennis ^a   Kor, Daryl ^a   Pathak, Jyotishman ^a  

^a MAYO CLINIC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BLOOD; FORECASTING; INTENSIVE CARE UNITS; KNOWLEDGE MANAGEMENT; LEARNING SYSTEMS; RISK PERCEPTION; SURGERY;

ADDITIONAL EXPERIMENTS; GOODNESS-OF-FIT MEASURE; HIGH-RISK PATIENTS; MULTITASK LEARNING; PREDICTION ACCURACY; PREDICTIVE PERFORMANCE; SIMPLE AND EFFICIENT ALGORITHMS; SURGICAL PROCEDURES;

PATIENT TREATMENT;

EID: 84962920378     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DSAA.2015.7344836     Document Type: Conference Paper

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