Predictive risk modelling for early hospital readmission of patients with diabetes in India

International Journal of Diabetes in Developing Countries

Volumn 36, Issue 4, 2016, Pages 519-528

  Duggal, Reena ^a   Shukla, Suren ^b   Chandra, Sarika ^c   Shukla, Balvinder ^a   Khatri, Sunil Kumar ^a  

^a AMITY UNIVERSITY   (India)

^b OHUM Healthcare Solutions Private Ltd   (India)

^c Kailash Hospital   (India)

Author keywords

Association rule mining; Cost sensitive analysis; Feature selection analysis; Machine learning; Medical data analysis; Predicting hospital readmission rates

Indexed keywords

CLASSIFICATION; CLASSIFIER; CONTROLLED STUDY; COST BENEFIT ANALYSIS; DATA ANALYSIS; DATA MINING; DEVELOPING COUNTRY; DIABETIC PATIENT; DISEASE MODEL; HEALTH CARE SYSTEM; HIGH RISK POPULATION; HOSPITAL READMISSION; HOSPITALIZATION; HUMAN; INDIA; INTERNATIONAL NORMALIZED RATIO; LENGTH OF STAY; MAJOR CLINICAL STUDY; MEDICAL RECORD; PREDICTION; RANDOM FOREST; RECALL; RISK FACTOR; WITNESS;

EID: 85007518124     PISSN: 09733930     EISSN: 19983832     Source Type: Journal    
DOI: 10.1007/s13410-016-0511-8     Document Type: Article

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