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

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

Machine Learning has been on the rise and healthcare is no exception to that. In healthcare, mental health is gaining more and more space. The diagnosis of mental disorders is based upon standardized patient interviews with defined set of questions and scales which is a time consuming and costly pro...

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Bibliographic Details
Main Authors: Amita Sharma, Willem J. M. I. Verbeke
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-04-01
Series:Frontiers in Big Data
Subjects:
mental health
classification
extreme gradient boosting
XGBoost
class imbalance
depression
Online Access:https://www.frontiersin.org/article/10.3389/fdata.2020.00015/full

Internet

https://www.frontiersin.org/article/10.3389/fdata.2020.00015/full

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