Published on in Vol 10, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32903, first published .
Strategies to Address the Lack of Labeled Data for Supervised Machine Learning Training With Electronic Health Records: Case Study for the Extraction of Symptoms From Clinical Notes

Strategies to Address the Lack of Labeled Data for Supervised Machine Learning Training With Electronic Health Records: Case Study for the Extraction of Symptoms From Clinical Notes

Strategies to Address the Lack of Labeled Data for Supervised Machine Learning Training With Electronic Health Records: Case Study for the Extraction of Symptoms From Clinical Notes

Journals

  1. Datta S, Roberts K. Weakly supervised spatial relation extraction from radiology reports. JAMIA Open 2023;6(2) View
  2. Sun M, Yang X, Niu J, Gu Y, Wang C, Zhang W. A cross-modal clinical prediction system for intensive care unit patient outcome. Knowledge-Based Systems 2024;283:111160 View
  3. Guo Z. Statistical Inference for Maximin Effects: Identifying Stable Associations across Multiple Studies. Journal of the American Statistical Association 2023:1 View
  4. Jaiswal A, Katz A, Nesca M, Milios E. Identifying Risk Factors Associated With Lower Back Pain in Electronic Medical Record Free Text: Deep Learning Approach Using Clinical Note Annotations. JMIR Medical Informatics 2023;11:e45105 View
  5. Don A, Khalil I. Q-SupCon: Quantum-Enhanced Supervised Contrastive Learning Architecture within the Representation Learning Framework. ACM Transactions on Quantum Computing 2024 View
  6. Maleki D, Rahnamayan S, Tizhoosh H. A self-supervised framework for cross-modal search in histopathology archives using scale harmonization. Scientific Reports 2024;14(1) View
  7. van der Meijden S, van Boekel A, van Goor H, Nelissen R, Schoones J, Steyerberg E, Geerts B, de Boer M, Arbous M. Automated Identification of Postoperative Infections to allow Prediction and Surveillance Based on EHR data: a Scoping Review (Preprint). JMIR Medical Informatics 2024 View