Predicting return visits to the emergency department for pediatric patients: Applying supervised learning techniques to the Taiwan National Health Insurance Research Database

Computer Methods and Programs in Biomedicine

Volumn 144, Issue , 2017, Pages 105-112

  Hu, Ya Han ^a   Tai, Chun Tien ^a,b   Chen, Solomon Chih Cheng ^c,d   Lee, Hai Wei ^a   Sung, Sheng Feng ^e  

^a NATIONAL CHUNG CHENG UNIVERSITY   (Taiwan)

^b CHANG GUNG MEMORIAL HOSPITAL   (Taiwan)

^c Heng Chun Christian Hospital   (Taiwan)

^d TAIPEI MEDICAL UNIVERSITY   (Taiwan)

^e CHIA YI CHRISTIAN HOSPITAL   (Taiwan)

Author keywords

Data mining; Emergency department; NHIRD; Pediatric emergency care; Return visit

Indexed keywords

BLOOD; DATA MINING; DECISION TREES; DIAGNOSIS; EMERGENCY ROOMS; FORECASTING; HOSPITALS; PEDIATRICS; REGRESSION ANALYSIS; RISK ASSESSMENT; SUPERVISED LEARNING; ULTRASONIC APPLICATIONS;

CLASSIFICATION AND REGRESSION TREE; EMERGENCY CARE; EMERGENCY DEPARTMENTS; MULTIVARIATE LOGISTIC REGRESSIONS; NHIRD; PERFORMANCE INDICATORS; RETURN VISIT; ULTRASOUND EXAMINATION;

HEALTH INSURANCE;

INFUSION FLUID;

AGE; ALLERGIC DISEASE; ARTICLE; BLOOD CELL COUNT; CHILD; CHILD HOSPITALIZATION; CONSULTATION; DATA BASE; DATA MINING; DECISION TREE; EMERGENCY CARE; EMERGENCY WARD; FEMALE; HEALTH CARE QUALITY; HELP SEEKING BEHAVIOR; HIGH RISK POPULATION; HOSPITAL DISCHARGE; HUMAN; MALE; NATIONAL HEALTH INSURANCE; PEDIATRIC EMERGENCY MEDICINE; PREDICTION; RISK ASSESSMENT; TAIWAN; ULTRASOUND; BAYES THEOREM; FORECASTING; HOSPITAL EMERGENCY SERVICE; HOSPITAL READMISSION; PEDIATRICS; PUBLIC HEALTH; STATISTICS AND NUMERICAL DATA; SUPERVISED MACHINE LEARNING;

BAYES THEOREM; CHILD; DATA MINING; DECISION TREES; EMERGENCY SERVICE, HOSPITAL; FORECASTING; HUMANS; NATIONAL HEALTH PROGRAMS; PATIENT READMISSION; PEDIATRICS; QUALITY ASSURANCE, HEALTH CARE; SUPERVISED MACHINE LEARNING; TAIWAN;

EID: 85016319299     PISSN: 01692607     EISSN: 18727565     Source Type: Journal    
DOI: 10.1016/j.cmpb.2017.03.022     Document Type: Article

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