Using Machine Learning to Predict Antidepressant Treatment Outcome From Electronic Health Records - Concepedia

Concepedia

Publication | Open Access

Using Machine Learning to Predict Antidepressant Treatment Outcome From Electronic Health Records

DOI Full Paper Access

14

Citations

27

References

2023

Year

Zhenxing Xu, Veer Vekaria, Fei Wang, Judith Cukor, Chang Su, Prakash Adekkanattu, Pascal Brandt, Guoqian Jiang, Richard C. Kiefer, Yuan Luo,

Psychiatric Research and Clinical Practice

Abstract

The results demonstrate the potential utility of using ML in longitudinal EHRs to predict antidepressant treatment outcome. Our predictive tool holds the promise to accelerate personalized medical management in patients with psychiatric illnesses.

References

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