The accuracy of international and national fetal growth charts in detecting small-for-gestational-age infants using the Lambda-Mu-Sigma method.

Saw, Shier Nee; Lim, Mei Cee; Liew, Chuan Nyen; Ahmad Kamar, Azanna; Sulaiman, Sofiah; Saaid, Rahmah; Loo, Chu Kiong

Saw, Shier Nee; Lim, Mei Cee; Liew, Chuan Nyen; Ahmad Kamar, Azanna; Sulaiman, Sofiah; Saaid, Rahmah; Loo, Chu Kiong.

Afiliación

Saw SN; Department of Artificial Intelligence, Faculty of Computer Science and Information Technology, Universiti Malaya, Kuala Lumpur, Malaysia.
Lim MC; Department of Artificial Intelligence, Faculty of Computer Science and Information Technology, Universiti Malaya, Kuala Lumpur, Malaysia.
Liew CN; Department of Artificial Intelligence, Faculty of Computer Science and Information Technology, Universiti Malaya, Kuala Lumpur, Malaysia.
Ahmad Kamar A; Department of Paediatrics, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.
Sulaiman S; Department of Obstetrics and Gynaecology, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.
Saaid R; Department of Obstetrics and Gynaecology, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.
Loo CK; Department of Artificial Intelligence, Faculty of Computer Science and Information Technology, Universiti Malaya, Kuala Lumpur, Malaysia.

Front Surg ; 10: 1123948, 2023.

Article en En | MEDLINE | ID: mdl-37114151

Palabras clave

Hadlock growth chart; INTERGROWTH-21st growth chart; WHO growth charts; estimated fetal weight; fetal growth; growth chart; reference chart; small-for-gestational-age

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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Idioma: En Revista: Front Surg Año: 2023 Tipo del documento: Article País de afiliación: Malasia

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