Predicting plasma concentration of quetiapine in patients with depression using machine learning techniques based on real-world evidence-Reference-Cited by-同舟云学术

Predicting plasma concentration of quetiapine in patients with depression using machine learning techniques based on real-world evidence

Published:2023-07-25 Issue:8 Volume:16 Page:741-750
ISSN:1751-2433
Container-title:Expert Review of Clinical Pharmacology
language:en
Short-container-title:Expert Review of Clinical Pharmacology

Author:

Yang Lin¹²,Zhang Jinyuan³,Yu Jing¹²,Yu Ze⁴,Hao Xin⁵,Gao Fei³,Zhou Chunhua¹²^ORCID

Affiliation:

1. Department of Clinical Pharmacy, The First Hospital of Hebei Medical University, Shijiazhuang, China

2. The Technology Innovation Center for Artificial Intelligence in Clinical Pharmacy of Hebei Province, The First Hospital of Hebei Medical University, Shijiazhuang, China

3. Beijing Medicinovo Technology Co, Ltd, Beijing, China

4. Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai, China

5. Dalian Medicinovo Technology Co, Ltd, Dalian, China

Funder

Key research and development project of Hebei Provincial Department of Science and Technology

Medical science research project of Hebei Provincial Health Commission

Publisher

Informa UK Limited

Subject

Pharmacology (medical),General Pharmacology, Toxicology and Pharmaceutics,General Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1080/17512433.2023.2238604

Reference45 articles.

1. Depression

2. Depression

3. The Bidirectional Relationship of Depression and Inflammation: Double Trouble

4. Depression in young people

5. Global prevalence of depression and elevated depressive symptoms among adolescents: A systematic review and meta‐analysis

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