Improving Diagnosis of Depression With XGBOOST Machine Learning Model and a Large Biomarkers Dutch Dataset (<i>n</i> = 11,081).

Sharma, Amita; Verbeke, Willem J M I

Improving Diagnosis of Depression With XGBOOST Machine Learning Model and a Large Biomarkers Dutch Dataset (n = 11,081).

Sharma, Amita; Verbeke, Willem J M I.

Afiliación

Sharma A; Department of Operations Research & Quantitative Analysis, Institute of Agri-Business Management, Swami Keshwanand Rajasthan Agricultural University, Bikaner, India.
Verbeke WJMI; Erasmus University, Rotterdam, Netherlands.

Front Big Data ; 3: 15, 2020.

Article en En | MEDLINE | ID: mdl-33693389

Palabras clave

XGBoost; class imbalance; classification; depression; extreme gradient boosting; mental health

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Front Big Data Año: 2020 Tipo del documento: Article País de afiliación: India Pais de publicación: Suiza

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