Published on in Vol 9, No 10 (2021): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29871, first published .
Data Anonymization for Pervasive Health Care: Systematic Literature Mapping Study

Data Anonymization for Pervasive Health Care: Systematic Literature Mapping Study

Data Anonymization for Pervasive Health Care: Systematic Literature Mapping Study

Journals

  1. Hahn W, Schütte K, Schultz K, Wolkenhauer O, Sedlmayr M, Schuler U, Eichler M, Bej S, Wolfien M. Contribution of Synthetic Data Generation towards an Improved Patient Stratification in Palliative Care. Journal of Personalized Medicine 2022;12(8):1278 View
  2. Sepas A, Bangash A, Alraoui O, El Emam K, El-Hussuna A. Algorithms to anonymize structured medical and healthcare data: A systematic review. Frontiers in Bioinformatics 2022;2 View
  3. Sampaio S, Sousa P, Martins C, Ferreira A, Antunes L, Cruz-Correia R. Collecting, Processing and Secondary Using Personal and (Pseudo)Anonymized Data in Smart Cities. Applied Sciences 2023;13(6):3830 View
  4. Wolfien M, Ahmadi N, Fitzer K, Grummt S, Heine K, Jung I, Krefting D, Kühn A, Peng Y, Reinecke I, Scheel J, Schmidt T, Schmücker P, Schüttler C, Waltemath D, Zoch M, Sedlmayr M. Ten Topics to Get Started in Medical Informatics Research. Journal of Medical Internet Research 2023;25:e45948 View
  5. AU K, Yang W. Auxiliary use of ChatGPT in surgical diagnosis and treatment. International Journal of Surgery 2023 View
  6. Pilgram L, Meurers T, Malin B, Schaeffner E, Eckardt K, Prasser F. The Costs of Anonymization: Case Study Using Clinical Data. Journal of Medical Internet Research 2024;26:e49445 View
  7. Petrella R. The AI Future of Emergency Medicine. Annals of Emergency Medicine 2024;84(2):139 View
  8. Parchmann N, Hansen D, Orzechowski M, Steger F. An ethical assessment of professional opinions on concerns, chances, and limitations of the implementation of an artificial intelligence-based technology into the geriatric patient treatment and continuity of care. GeroScience 2024;46(6):6269 View
  9. Morales-Sánchez R, Montalvo S, Riaño A, Martínez R, Velasco M. Early diagnosis of HIV cases by means of text mining and machine learning models on clinical notes. Computers in Biology and Medicine 2024;179:108830 View
  10. Yurdem B, Kuzlu M, Gullu M, Catak F, Tabassum M. Federated learning: Overview, strategies, applications, tools and future directions. Heliyon 2024;10(19):e38137 View
  11. Habibi M, Aslan S, Liu X, Loke Y, Krieger A, Hibino N, Olivieri L, Fuge M. Automatic Laplacian-based shape optimization for patient-specific vascular grafts. Computers in Biology and Medicine 2025;184:109308 View
  12. Watson M, Boulitsakis Logothetis S, Green D, Holland M, Chambers P, Al Moubayed N. Performance of machine learning versus the national early warning score for predicting patient deterioration risk: a single-site study of emergency admissions. BMJ Health & Care Informatics 2024;31(1):e101088 View

Books/Policy Documents

  1. Testa S. Privacy Symposium 2022. View
  2. Vainauskienė V. Computer Supported Qualitative Research. View
  3. Behera C, Lakshmi D, Kondurkar I. Advanced Applications of Generative AI and Natural Language Processing Models. View
  4. Ilarri S, Tellería C, Morales M. Information Integration and Web Intelligence. View