This paper is in the following e-collection/theme issue:

Machine Learning (1937) Advanced Data Analytics in eHealth (189)

Published on in Vol 8, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24305, first published .
Machine-Learning Monitoring System for Predicting Mortality Among Patients With Noncancer End-Stage Liver Disease: Retrospective Study

Machine-Learning Monitoring System for Predicting Mortality Among Patients With Noncancer End-Stage Liver Disease: Retrospective Study

Machine-Learning Monitoring System for Predicting Mortality Among Patients With Noncancer End-Stage Liver Disease: Retrospective Study

Authors of this article:

Yu-Jiun Lin1, 2 Author Orcid Image ;   Ray-Jade Chen3, 4 Author Orcid Image ;   Jui-Hsiang Tang5 Author Orcid Image ;   Cheng-Sheng Yu1, 2 Author Orcid Image ;   Jenny L Wu1, 2 Author Orcid Image ;   Li-Chuan Chen6, 7 Author Orcid Image ;   Shy-Shin Chang1, 2, 6 Author Orcid Image
Article Authors Cited by (15) Tweetations (3) Metrics

Journals

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  2. Chan Y, Chang S, Wu J, Wang S, Yu C. Association between liver stiffness measurement by transient elastography and chronic kidney disease. Medicine 2022;101(4):e28658 View
  3. Lu Y, Chao H, Chiang Y, Chen H. Explainable Machine Learning Techniques To Predict Amiodarone-Induced Thyroid Dysfunction Risk: Multicenter, Retrospective Study With External Validation. Journal of Medical Internet Research 2023;25:e43734 View
  4. Vu E, Steinmann N, Schröder C, Förster R, Aebersold D, Eychmüller S, Cihoric N, Hertler C, Windisch P, Zwahlen D. Applications of Machine Learning in Palliative Care: A Systematic Review. Cancers 2023;15(5):1596 View
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  8. Mafi V, Soldera J. Palliative care for end-stage liver disease and acute on chronic liver failure: A systematic review. World Journal of Methodology 2024;14(4) View
  9. Hsieh V, Liu M, Lin H. AI-Enabled Clinical Decision Support System Modeling for the Prediction of Cirrhosis Complications. IRBM 2024;45(5):100854 View
  10. Yu C, Wu J, Shih C, Chiu K, Chen Y, Chang T. Exploring Mortality and Prognostic Factors of Heart Failure with In-Hospital and Emergency Patients by Electronic Medical Records: A Machine Learning Approach. Risk Management and Healthcare Policy 2025;Volume 18:77 View
  11. Mohamud K, Elzubair Eltahir S, Ahmed Alhardalo H, Albashir H, Ali Mohamed Zain N, Abdelrahman Ibrahim M, Ahmed Fadlallah E. The Role of Machine Learning Models in Predicting Cirrhosis Mortality: A Systematic Review. Cureus 2025 View
  12. Bozkurt S, Fereydooni S, Kar I, Chalmers C, Leslie S, Pathak R, Walling A, Lindvall C, Lorenz K, Parikh R, Quest T, Giannitrapani K, Kavalieratos D. AI in Palliative Care: A Scoping Review of Foundational Gaps and Future Directions for Responsible Innovation. Journal of Pain and Symptom Management 2025 View

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  1. Thamby B, Sheeja S. ICT Analysis and Applications. View

Conference Proceedings

  1. Tajmen S, Karim A, Hasan Mridul A, Azam S, Ghosh P, Dhaly A, Hossain M. The 10th International Conference on Computer and Communications Management. A Machine Learning based Proposition for Automated and Methodical Prediction of Liver Disease View
  2. Hossain M, Khan M, Ahmad I, Yasmin F, Rahman M. 2025 4th International Conference on Electronics Representation and Algorithm (ICERA). Transparent and Explainable AI for Liver Disease Diagnosis Using SHAP and LIME View