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BMC Medical Informatics and Decision Making
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July 31, 2021
Multi-label classification of fundus images based on graph convolutional network
Yinlin Cheng, Mengnan Ma, Xingyu Li, et al.
BMC Medical Informatics and Decision Making
|
July 31, 2021
Spatiotemporal evolution of epileptic seizure based on mutual information and dynamic brain network
Mengnan Ma, Xiaoyan Wei, Yinlin Cheng, et al.
Frontiers in Cardiovascular Medicine
|
October 13, 2022
Development and validation of prediction models for hypertension risks: A cross-sectional study based on 4,287,407 participants
Weidong Ji, Yushan Zhang, Yinlin Cheng, et al.
BMC Medical Informatics and Decision Making
|
July 31, 2021
Research on epileptic EEG recognition based on improved residual networks of 1-D CNN and indRNN
Mengnan Ma, Yinlin Cheng, Xiaoyan Wei, et al.
Journal of Medical Internet Research
|
March 12, 2025
Two-Year Hypertension Incidence Risk Prediction in Populations in the Desert Regions of Northwest China: Prospective Cohort Study
Yinlin Cheng, Kuiying Gu, Weidong Ji, et al.
IEEE Journal of Biomedical and Health Informatics
|
November 10, 2022
A Spatiotemporal Graph Attention Network Based on Synchronization for Epileptic Seizure Prediction
Yao Wang, Yufei Shi, Yinlin Cheng, et al.
The Journal of Clinical Endocrinology and Metabolism
|
April 9, 2024
Air Pollution and Diabetes Mellitus: Association and Validation in a Desert Area in China
Lin Li, Weidong Ji, Zhe Wang, et al.
Diabetology & Metabolic Syndrome
|
July 27, 2023
Machine learning for predicting diabetes risk in western China adults
Lin Li, Yinlin Cheng, Weidong Ji, et al.
Journal of Affective Disorders
|
October 31, 2025
Association between biological aging and genetic susceptibility with the risk of bipolar disorder and schizophrenia: A prospective cohort study
Weidong Ji, Yushan Zhang, Yinlin Cheng, et al.
Environment International
|
September 30, 2025
Risk of sand and dust storms on cardiometabolic diseases: a cohort study of over 2.2 million participants
Weidong Ji, Kuiying Gu, Limei Ke, et al.
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of 2
Search research articles
Search
Showing results (1-10 of 14) with videos related to
Sort By:
Page
of 2
BMC Medical Informatics and Decision Making
|
July 31, 2021
Multi-label classification of fundus images based on graph convolutional network
Yinlin Cheng, Mengnan Ma, Xingyu Li, et al.
BMC Medical Informatics and Decision Making
|
July 31, 2021
Spatiotemporal evolution of epileptic seizure based on mutual information and dynamic brain network
Mengnan Ma, Xiaoyan Wei, Yinlin Cheng, et al.
Frontiers in Cardiovascular Medicine
|
October 13, 2022
Development and validation of prediction models for hypertension risks: A cross-sectional study based on 4,287,407 participants
Weidong Ji, Yushan Zhang, Yinlin Cheng, et al.
BMC Medical Informatics and Decision Making
|
July 31, 2021
Research on epileptic EEG recognition based on improved residual networks of 1-D CNN and indRNN
Mengnan Ma, Yinlin Cheng, Xiaoyan Wei, et al.
Journal of Medical Internet Research
|
March 12, 2025
Two-Year Hypertension Incidence Risk Prediction in Populations in the Desert Regions of Northwest China: Prospective Cohort Study
Yinlin Cheng, Kuiying Gu, Weidong Ji, et al.
IEEE Journal of Biomedical and Health Informatics
|
November 10, 2022
A Spatiotemporal Graph Attention Network Based on Synchronization for Epileptic Seizure Prediction
Yao Wang, Yufei Shi, Yinlin Cheng, et al.
The Journal of Clinical Endocrinology and Metabolism
|
April 9, 2024
Air Pollution and Diabetes Mellitus: Association and Validation in a Desert Area in China
Lin Li, Weidong Ji, Zhe Wang, et al.
Diabetology & Metabolic Syndrome
|
July 27, 2023
Machine learning for predicting diabetes risk in western China adults
Lin Li, Yinlin Cheng, Weidong Ji, et al.
Journal of Affective Disorders
|
October 31, 2025
Association between biological aging and genetic susceptibility with the risk of bipolar disorder and schizophrenia: A prospective cohort study
Weidong Ji, Yushan Zhang, Yinlin Cheng, et al.
Environment International
|
September 30, 2025
Risk of sand and dust storms on cardiometabolic diseases: a cohort study of over 2.2 million participants
Weidong Ji, Kuiying Gu, Limei Ke, et al.
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of 2