Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42895, first published .
Multidimensional Machine Learning for Assessing Parameters Associated With COVID-19 in Vietnam: Validation Study

Multidimensional Machine Learning for Assessing Parameters Associated With COVID-19 in Vietnam: Validation Study

Multidimensional Machine Learning for Assessing Parameters Associated With COVID-19 in Vietnam: Validation Study

Journals

  1. Bui H, Nguyễn Thị Phương Q, Cam Tu H, Nguyen Phuong S, Pham T, Vu T, Nguyen Thi Thu H, Khanh Ho L, Nguyen Tien D. The Roles of NOTCH3 p.R544C and Thrombophilia Genes in Vietnamese Patients With Ischemic Stroke: Study Involving a Hierarchical Cluster Analysis. JMIR Bioinformatics and Biotechnology 2024;5:e56884 View
  2. Dong B, Zhang H, Duan Y, Yao S, Chen Y, Zhang C. Development of a machine learning-based model to predict prognosis of alpha-fetoprotein-positive hepatocellular carcinoma. Journal of Translational Medicine 2024;22(1) View
  3. Thu Nguyen T, Van Tran K, Cam Ho T, Xuan Nguyen H, Trong Nguyen T. A systematic analysis with the hierarchical cluster analysis strategy on the complex interaction of TERT and CTNNB1 somatic mutations in Vietnamese hepatocellular carcinoma patients. Gene 2024;927:148646 View
  4. Nguyen T, Ho T, Bui H, Tran V, Nguyen T. Multi-clustering study on the association between human leukocyte antigen-DP-DQ and hepatitis B virus-related hepatocellular carcinoma and cirrhosis in Viet Nam. World Journal of Gastroenterology 2024;30(46):4880 View
  5. Peng C, Gong C, Zhang X, Liu D. A prognostic model for highly aggressive prostate cancer using interpretable machine learning techniques. Frontiers in Medicine 2025;12 View
  6. Nguyen Tien D, Thi Thu Bui H, Hoang Thi Ngoc T, Thi Pham T, Trung Nguyen D, Nguyen Thi Thu H, Thu Hang Vu T, Lan Anh Luong T, Thu Hoang L, Cam Tu H, Körber N, Bauer T, Khanh Ho L. A Data-Driven Approach to Assessing Hepatitis B Mother-to-Child Transmission Risk Prediction Model: Machine Learning Perspective. JMIR Formative Research 2025;9:e69838 View