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

Clinical Information and Decision Making (1407) Machine Learning (1465) Artificial Intelligence (1371) Decision Support for Health Professionals (1185) New Methods (944) Computer-Aided Diagnosis (128) Nails and Musculoskeletal (24)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47590, first published .
A Web-Based Calculator to Predict Early Death Among Patients With Bone Metastasis Using Machine Learning Techniques: Development and Validation Study

A Web-Based Calculator to Predict Early Death Among Patients With Bone Metastasis Using Machine Learning Techniques: Development and Validation Study

A Web-Based Calculator to Predict Early Death Among Patients With Bone Metastasis Using Machine Learning Techniques: Development and Validation Study

Authors of this article:

Mingxing Lei1, 2, 3 Author Orcid Image ;   Bing Wu1, 4 Author Orcid Image ;   Zhicheng Zhang1 Author Orcid Image ;   Yong Qin5 Author Orcid Image ;   Xuyong Cao1 Author Orcid Image ;   Yuncen Cao1 Author Orcid Image ;   Baoge Liu6 Author Orcid Image ;   Xiuyun Su7 Author Orcid Image ;   Yaosheng Liu1, 8, 9 Author Orcid Image
Article Authors Cited by (8) Tweetations (3) Metrics

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  2. Zhang L, Zhao S, Yang Z, Zheng H, Lei M. An Artificial Intelligence Platform to Stratify the Risk of Experiencing Sleep Disturbance in University Students After Analyzing Psychological Health, Lifestyle, and Sports: A Multicenter Externally Validated Study. Psychology Research and Behavior Management 2024;Volume 17:1057 View
  3. Zhai Y, Lan D, Lv S, Mo L. Interpretability-based machine learning for predicting the risk of death from pulmonary inflammation in Chinese intensive care unit patients. Frontiers in Medicine 2024;11 View
  4. Yu Q, Zhang L, Ma Q, Da L, Li J, Li W. Predicting all-cause mortality and premature death using interpretable machine learning among a middle-aged and elderly Chinese population. Heliyon 2024;10(17):e36878 View
  5. Zhang L, Zhao S, Yang Z, Zheng H, Lei M. An artificial intelligence tool to assess the risk of severe mental distress among college students in terms of demographics, eating habits, lifestyles, and sport habits: an externally validated study using machine learning. BMC Psychiatry 2024;24(1) View
  6. Yang F, Li C, Yang W, He Y, Wu L, Jiang K, Sun C. Development and validation of an explainable machine learning model for predicting multidimensional frailty in hospitalized patients with cirrhosis. Briefings in Bioinformatics 2024;25(6) View
  7. Sheng Y, Zhang L, Hu Z, Peng B. Prediction of Early Mortality in Esophageal Cancer Patients with Liver Metastasis Using Machine Learning Approaches. Life 2024;14(11):1437 View
  8. Zhang L, Zhao S, Yang W, Yang Z, Wu Z, Zheng H, Lei M. Utilizing machine learning techniques to identify severe sleep disturbances in Chinese adolescents: an analysis of lifestyle, physical activity, and psychological factors. Frontiers in Psychiatry 2024;15 View