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

Journals

  1. Han T, Xiong F, Sun B, Zhong L, Han Z, Lei M. Development and validation of an artificial intelligence mobile application for predicting 30-day mortality in critically ill patients with orthopaedic trauma. International Journal of Medical Informatics 2024;184:105383 View
  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
  9. Lin B, Liu J, Li K, Zhong X. Predicting the Risk of HIV Infection and Sexually Transmitted Diseases Among Men Who Have Sex With Men: Cross-Sectional Study Using Multiple Machine Learning Approaches. Journal of Medical Internet Research 2025;27:e59101 View
  10. Long Z, Tan S, Sun B, Qin Y, Wang S, Han Z, Han T, Lin F, Lei M. PREDICTING IN-HOSPITAL MORTALITY IN CRITICAL ORTHOPEDIC TRAUMA PATIENTS WITH SEPSIS USING MACHINE LEARNING MODELS. Shock 2025;63(6):815 View
  11. Wang S, Liu T, Long Z, Qin Y, Sun B, Han Z, Zhang X, Li L, Lei M. CHRONIC CRITICAL ILLNESS IN BONE TRAUMA PATIENTS: AN AI-BASED APPROACH FOR INTENSIVE CARE UNIT HEALTHCARE PROVIDERS. Shock 2025;64(1):27 View
  12. Peng Z, Zhong S, Li X, Yu F, Tang Z, Ma C, Liao Z, Zhao S, Xia Y, Fu H, Long W, Lei M, He Z. An artificial intelligence model to predict mortality among hemodialysis patients: A retrospective validated cohort study. Scientific Reports 2025;15(1) View
  13. Ono S, Uchino S, Katayama S, Iizuka Y. An interpretable machine learning approach for predicting clinically important gastrointestinal bleeding in critically ill patients. Anaesthesia Critical Care & Pain Medicine 2025;44(6):101590 View
  14. Zhang Y, Li W, Zou J, Yang G, Zhong X, Xie B. Using Machine Learning to Identify the Dynamic Evolution Patterns of Negative Emotions in Perinatal Women: A Longitudinal Study in Southwest China. MedComm 2025;6(8) View
  15. Huang H, Jiang S, Chen Z, Yu X, Ren K, Zhao Q. A w-ACT model for sarcopenia among community-dwelling older adults based on National Basic Public Health Services: development and validation study. Frontiers in Public Health 2025;13 View
  16. Wang Y, Xia L, Tang Y, Li W, Cui J, Luo X, Jiang H, Li Y. Deep Learning-Based 30-Day Mortality Prediction in Critically Ill Bone and Bone Marrow Metastasis Patients: A Multicenter Retrospective Cohort Study. Current Oncology 2025;32(10):533 View
  17. Lei M, Liu X, Cheng L, Li Y, Tang N, Song J, Song M, Su Q, Liu M, Fu S, Sun B, Gao Y. An ensemble machine learning-based risk stratification tool for 30-day mortality prediction in critically ill cardiovascular patients. Cardiovascular Diabetology 2025;24(1) View
  18. Cui Y, Shi X, Wang Q, Qin Y, Zhao X, Che X, Wang S, Pan Y, Wang B, Cao Y, Liu Y, Lei M. Artificial intelligence-based prediction model for surgical site infection in metastatic spinal disease: a multicenter development and validation study. International Journal of Surgery 2025;111(10):6867 View
  19. Ding N, Li Y, Zhao Z, Meng X, Sun M, Ren X, Wang Y. Differential diagnosis of eczema and psoriasis using routine clinical data and machine learning: development of a web-based tool in a multicenter outpatient cohort. Frontiers in Medicine 2025;12 View