Published on in Vol 22, No 5 (2020): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16669, first published .
Autoencoder as a New Method for Maintaining Data Privacy While Analyzing Videos of Patients With Motor Dysfunction: Proof-of-Concept Study

Autoencoder as a New Method for Maintaining Data Privacy While Analyzing Videos of Patients With Motor Dysfunction: Proof-of-Concept Study

Autoencoder as a New Method for Maintaining Data Privacy While Analyzing Videos of Patients With Motor Dysfunction: Proof-of-Concept Study

Journals

  1. Chen Y, Lo Y, Lai F, Huang C. Disease Concept-Embedding Based on the Self-Supervised Method for Medical Information Extraction from Electronic Health Records and Disease Retrieval: Algorithm Development and Validation Study. Journal of Medical Internet Research 2021;23(1):e25113 View
  2. Dann C, O’Neill S, Getenet S, Chakraborty S, Saleh K, Yu K. Improving Teaching and Learning in Higher Education through Machine Learning: Proof of Concept’ of AI’s Ability to Assess the Use of Key Microskills. Education Sciences 2024;14(8):886 View
  3. Zhang S, Xu T, Zhu J, Sun Y, Jin P, Shi B, Pei D. Privacy-preserving MTS anomaly detection for network devices through federated learning. Information Sciences 2025;690:121590 View