Application of machine learning in depression risk prediction for connective tissue diseases

Application of machine learning in depression risk prediction for connective tissue diseases

Abstract This study retrospectively collected clinical data from 480 patients with connective tissue diseases (CTDs) at Nanjing First Hospital between August 2019 and December 2023 to develop and validate a multi-classification machine learning (ML) model for assessing depression risk. Addressing th...

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Bibliographic Details
Main Authors: Leilei Yang, Yuzhan Jin, Wei Lu, Xiaoqin Wang, Yuqing Yan, Yulan Tong, Dinglei Su, Kaizong Huang, Jianjun Zou
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Connective tissue disease
Depression
Machine learning
Multi-classification algorithms
Catboost
Online Access:https://doi.org/10.1038/s41598-025-85890-7
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https://doi.org/10.1038/s41598-025-85890-7

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