Published on in Vol 8, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24375, first published .
Exploring Fever of Unknown Origin Intelligent Diagnosis Based on Clinical Data: Model Development and Validation

Exploring Fever of Unknown Origin Intelligent Diagnosis Based on Clinical Data: Model Development and Validation

Exploring Fever of Unknown Origin Intelligent Diagnosis Based on Clinical Data: Model Development and Validation

Journals

  1. Ebbehoj A, Thunbo M, Andersen O, Glindtvad M, Hulman A, Chua Chin Heng M. Transfer learning for non-image data in clinical research: A scoping review. PLOS Digital Health 2022;1(2):e0000014 View
  2. Betrains A, Moreel L, De Langhe E, Blockmans D, Vanderschueren S. Rheumatic disorders among patients with fever of unknown origin: A systematic review and meta-analysis. Seminars in Arthritis and Rheumatism 2022;56:152066 View
  3. Yan Y, Chen C, Liu Y, Zhang Z, Xu L, Pu K. Application of Machine Learning for the Prediction of Etiological Types of Classic Fever of Unknown Origin. Frontiers in Public Health 2021;9 View
  4. Wang Z, Liu J, Tian Y, Zhou T, Liu Q, Qiu Y, Li J. Integrating Medical Domain Knowledge for Early Diagnosis of Fever of Unknown Origin: An Interpretable Hierarchical Multimodal Neural Network Approach. IEEE Journal of Biomedical and Health Informatics 2023;27(11):5237 View
  5. Liao X, Yao C, Zhang J, Liu L. Recent advancement in integrating artificial intelligence and information technology with real‐world data for clinical decision‐making in China: A scoping review. Journal of Evidence-Based Medicine 2023;16(4):534 View

Books/Policy Documents

  1. Liu Z, Zhang J, Hou Y, Zhang X, Li G, Xiang Y. Health Information Processing. View