Applying data mining techniques to improve diagnosis in neonatal jaundice.

BMC medical informatics and decision making

Volumn 12, Issue , 2012, Pages 143-

  Ferreira, Duarte ^a   Oliveira, Abílio ^b   Freitas, Alberto ^b  

^a Centro Hospitalar Tamega e Sousa   (Portugal)

^b NONE

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; AREA UNDER THE CURVE; ARTICLE; CONFIDENCE INTERVAL; DATA MINING; HEALTH CARE QUALITY; HOSPITAL DEPARTMENT; HUMAN; METHODOLOGY; NEONATAL HYPERBILIRUBINEMIA; NEWBORN; NEWBORN JAUNDICE; PORTUGAL; QUALITATIVE RESEARCH; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; AREA UNDER CURVE; CONFIDENCE INTERVALS; DATA MINING; HUMANS; HYPERBILIRUBINEMIA, NEONATAL; INFANT, NEWBORN; JAUNDICE, NEONATAL; OBSTETRICS AND GYNECOLOGY DEPARTMENT, HOSPITAL; PORTUGAL; QUALITATIVE RESEARCH; QUALITY ASSURANCE, HEALTH CARE; SENSITIVITY AND SPECIFICITY;

MLCS; MLOWN;

EID: 84870548495     PISSN: None     EISSN: 14726947     Source Type: None    
DOI: 10.1186/1472-6947-12-143     Document Type: Article

References (0)