OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Predicting post-discharge self-harm incidents using disease comorbidity networks: A retrospective machine learning study
Zhongzhi Xu, Qingpeng Zhang, Paul S. F. Yip
Journal of Affective Disorders (2020) Vol. 277, pp. 402-409
Closed Access | Times Cited: 13
Zhongzhi Xu, Qingpeng Zhang, Paul S. F. Yip
Journal of Affective Disorders (2020) Vol. 277, pp. 402-409
Closed Access | Times Cited: 13
Showing 13 citing articles:
Machine learning and the prediction of suicide in psychiatric populations: a systematic review
Alessandro Pigoni, Giuseppe Delvecchio, Nunzio Turtulici, et al.
Translational Psychiatry (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 20
Alessandro Pigoni, Giuseppe Delvecchio, Nunzio Turtulici, et al.
Translational Psychiatry (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 20
Disease Prediction Using Graph Machine Learning Based on Electronic Health Data: A Review of Approaches and Trends
Haohui Lu, Shahadat Uddin
Healthcare (2023) Vol. 11, Iss. 7, pp. 1031-1031
Open Access | Times Cited: 30
Haohui Lu, Shahadat Uddin
Healthcare (2023) Vol. 11, Iss. 7, pp. 1031-1031
Open Access | Times Cited: 30
Detecting suicide risk using knowledge-aware natural language processing and counseling service data
Zhongzhi Xu, Yucan Xu, Florence Cheung, et al.
Social Science & Medicine (2021) Vol. 283, pp. 114176-114176
Closed Access | Times Cited: 36
Zhongzhi Xu, Yucan Xu, Florence Cheung, et al.
Social Science & Medicine (2021) Vol. 283, pp. 114176-114176
Closed Access | Times Cited: 36
Applying precision medicine principles to the management of multimorbidity: the utility of comorbidity networks, graph machine learning, and knowledge graphs
Richard Woodman, Bogda Koczwara, Arduino A. Mangoni
Frontiers in Medicine (2024) Vol. 10
Open Access | Times Cited: 3
Richard Woodman, Bogda Koczwara, Arduino A. Mangoni
Frontiers in Medicine (2024) Vol. 10
Open Access | Times Cited: 3
Network analytics and machine learning for predicting length of stay in elderly patients with chronic diseases at point of admission
Zhixu Hu, Hang Qiu, Liya Wang, et al.
BMC Medical Informatics and Decision Making (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 14
Zhixu Hu, Hang Qiu, Liya Wang, et al.
BMC Medical Informatics and Decision Making (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 14
Early prediction of high-cost inpatients with ischemic heart disease using network analytics and machine learning
Ping Yang, Hang Qiu, Liya Wang, et al.
Expert Systems with Applications (2022) Vol. 210, pp. 118541-118541
Closed Access | Times Cited: 13
Ping Yang, Hang Qiu, Liya Wang, et al.
Expert Systems with Applications (2022) Vol. 210, pp. 118541-118541
Closed Access | Times Cited: 13
A Comorbidity Knowledge-Aware Model for Disease Prognostic Prediction
Zhongzhi Xu, Jian Zhang, Qingpeng Zhang, et al.
IEEE Transactions on Cybernetics (2021) Vol. 52, Iss. 9, pp. 9809-9819
Closed Access | Times Cited: 17
Zhongzhi Xu, Jian Zhang, Qingpeng Zhang, et al.
IEEE Transactions on Cybernetics (2021) Vol. 52, Iss. 9, pp. 9809-9819
Closed Access | Times Cited: 17
SAGL: A self-attention-based graph learning framework for predicting survival of colorectal cancer patients
Ping Yang, Hang Qiu, Xulin Yang, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 249, pp. 108159-108159
Closed Access | Times Cited: 1
Ping Yang, Hang Qiu, Xulin Yang, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 249, pp. 108159-108159
Closed Access | Times Cited: 1
DCNeT: A disease comorbidity network-based temporal deep learning framework to predict cardiovascular risk in patients with mental disorders
Hang Qiu, Ping Yang, Liya Wang
Expert Systems with Applications (2024) Vol. 254, pp. 124312-124312
Closed Access | Times Cited: 1
Hang Qiu, Ping Yang, Liya Wang
Expert Systems with Applications (2024) Vol. 254, pp. 124312-124312
Closed Access | Times Cited: 1
Artificial Intelligence-Based Suicide Prevention and Prediction: A Systematic Review (2019-2023)
Anirudh Atmakuru, Alen Shahini, Subrata Chakraborty, et al.
(2024)
Closed Access | Times Cited: 1
Anirudh Atmakuru, Alen Shahini, Subrata Chakraborty, et al.
(2024)
Closed Access | Times Cited: 1
Review on Psychology Research Based on Artificial Intelligence Methodologies
Rushit Dave, Kyle Sargeant, Monika Vanamala, et al.
Journal of Computer and Communications (2022) Vol. 10, Iss. 05, pp. 113-130
Open Access | Times Cited: 5
Rushit Dave, Kyle Sargeant, Monika Vanamala, et al.
Journal of Computer and Communications (2022) Vol. 10, Iss. 05, pp. 113-130
Open Access | Times Cited: 5
Comorbidity progression analysis: patient stratification and comorbidity prediction using temporal comorbidity network
Liang Ye, Chonghui Guo, Hailin Li
Health Information Science and Systems (2024) Vol. 12, Iss. 1
Closed Access
Liang Ye, Chonghui Guo, Hailin Li
Health Information Science and Systems (2024) Vol. 12, Iss. 1
Closed Access
Artificial Intelligence-based Suicide Prevention and Prediction: A Systematic Review (2019-2023)
Anirudh Atmakuru, Alen Shahini, Subrata Chakraborty, et al.
Information Fusion (2024), pp. 102673-102673
Closed Access
Anirudh Atmakuru, Alen Shahini, Subrata Chakraborty, et al.
Information Fusion (2024), pp. 102673-102673
Closed Access
