Progress in Objective Detection of Depression and Online Monitoring of Patients Based on Physiological Complexity-Reference-Cited by-同舟云学术

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Progress in Objective Detection of Depression and Online Monitoring of Patients Based on Physiological Complexity

Published:2022-03-28 Issue: Volume:13 Page:
ISSN:1664-0640
Container-title:Frontiers in Psychiatry
language:
Short-container-title:Front. Psychiatry

Author:

Čukić Milena,López Victoria

Publisher

Frontiers Media SA

Subject

Psychiatry and Mental health

Reference58 articles.

1. Deep learning for diagnosis and survival prediction in soft tissue sarcoma;Foersch;Ann Oncol,2021

2. Automated diabetic retinopathy detection in smartphone-based fundus photography using artificial intelligence;Rajalakshmi;Eye.,2018

3. A multilayer multimodal detection and prediction model based on explainable artificial intelligence for Alzheimer's disease;El-Sappagh;Nat Sci Rep.,2021

4. Computational neuroscience approach to biomarkers and treatments for mental disorders;Yahata;Psychiatry Clin Neurosci.,2017

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Methodology for the Detection of Risk States in Emotional Disorders;2023 18th International Conference on Intelligent Systems and Knowledge Engineering (ISKE);2023-11-17

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