A Machine Learning-Based Intrauterine Growth Restriction (IUGR) Prediction Model for Newborns.

Deval, Ravi; Saxena, Pallavi; Pradhan, Dibyabhaba; Mishra, Ashwani Kumar; Jain, Arun Kumar

Deval, Ravi; Saxena, Pallavi; Pradhan, Dibyabhaba; Mishra, Ashwani Kumar; Jain, Arun Kumar.

Deval R; Electron Microscopy and Environmental Toxicology Lab, ICMR - National Institute of Pathology, New Delhi, 110029, India.
Saxena P; Rohilkhand Laboratory and Research Centre, Bareilly, Uttar Pradesh, India.
Pradhan D; Electron Microscopy and Environmental Toxicology Lab, ICMR - National Institute of Pathology, New Delhi, 110029, India.
Mishra AK; Department of Biotechnology, Invertis University, Bareilly, Uttar Pradesh, India.
Jain AK; Division of Biomedical Informatics, ICMR - Computational Genomics Centre, New Delhi, India.

Indian J Pediatr ; 89(11): 1140-1143, 2022 11.

Article en En | MEDLINE | ID: mdl-35941474

Asunto(s)

Retardo del Crecimiento Fetal; Aprendizaje Automático; Teorema de Bayes; Peso al Nacer; Femenino; Retardo del Crecimiento Fetal/diagnóstico; Edad Gestacional; Humanos; Recién Nacido; Embarazo

Palabras clave

Heavy metals; Hormones; IUGR; Machine learning; Thyroid

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Retardo del Crecimiento Fetal / Aprendizaje Automático Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Newborn / Pregnancy Idioma: En Año: 2022 Tipo del documento: Article

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