Prediction models for short children born small for gestational age (SGA) covering the total growth phase. Analyses based on data from KIGS (Pfizer International Growth Database)

BMC Medical Informatics and Decision Making

Volumn 11, Issue 1, 2011, Pages

  Ranke, Michael B ^a   Lindberg, Anders ^b  

^a UNIVERSITY OF TÜBINGEN   (Germany)

^b PFIZER INC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

HUMAN GROWTH HORMONE;

ARTICLE; CHILD; FACTUAL DATABASE; FEMALE; GESTATIONAL AGE; GROWTH DISORDER; GROWTH, DEVELOPMENT AND AGING; HUMAN; MALE; METABOLISM; NEWBORN; SMALL FOR DATE INFANT; THEORETICAL MODEL;

CHILD; DATABASES, FACTUAL; FEMALE; GESTATIONAL AGE; GROWTH DISORDERS; HUMAN GROWTH HORMONE; HUMANS; INFANT, NEWBORN; INFANT, SMALL FOR GESTATIONAL AGE; MALE; MODELS, THEORETICAL;

EID: 79957632512     PISSN: None     EISSN: 14726947     Source Type: Journal    
DOI: 10.1186/1472-6947-11-38     Document Type: Article

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