This paper is in the following e-collection/theme issue:

Artificial Intelligence (1373) Machine Learning (1466) Clinical Information and Decision Making (1408) Natural Language Processing (693) Electronic Health Records (1055) Decision Support for Health Professionals (1186) Clinical Informatics (1025)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39972, first published .
Machine Learning Approaches for Predicting Psoriatic Arthritis Risk Using Electronic Medical Records: Population-Based Study

Machine Learning Approaches for Predicting Psoriatic Arthritis Risk Using Electronic Medical Records: Population-Based Study

Machine Learning Approaches for Predicting Psoriatic Arthritis Risk Using Electronic Medical Records: Population-Based Study

Authors of this article:

Leon Tsung-Ju Lee1, 2, 3, 4 Author Orcid Image ;   Hsuan-Chia Yang1 Author Orcid Image ;   Phung Anh Nguyen5, 6 Author Orcid Image ;   Muhammad Solihuddin Muhtar5 Author Orcid Image ;   Yu-Chuan Jack Li1, 7 Author Orcid Image
Article Authors Cited by (6) Tweetations (3) Metrics

Journals

  1. Bogdanova E. Predictive model and classification for psoriatic arthritis risk assessment for Russian patients with psoriasis (on registry data). Vestnik dermatologii i venerologii 2023;99(4):96 View
  2. Omiye J, Gui H, Daneshjou R, Cai Z, Muralidharan V. Principles, applications, and future of artificial intelligence in dermatology. Frontiers in Medicine 2023;10 View
  3. Cazzato G, Rongioletti F. Artificial intelligence in dermatopathology: Updates, strengths, and challenges. Clinics in Dermatology 2024;42(5):437 View
  4. Schaffert D, Bibi I, Blauth M, Lull C, von Ahnen J, Gross G, Schulze-Hagen T, Knitza J, Kuhn S, Benecke J, Schmieder A, Leipe J, Olsavszky V. Using Automated Machine Learning to Predict Necessary Upcoming Therapy Changes in Patients With Psoriasis Vulgaris and Psoriatic Arthritis and Uncover New Influences on Disease Progression: Retrospective Study. JMIR Formative Research 2024;8:e55855 View
  5. Tan M, Chen J, Cheng J, Hu J, Hu K, Yang J, Li X, Zhang M, Zhu W, Liao L, Kuang Y. A novel nomogram to predict psoriatic arthritis in patients with plaque psoriasis. JDDG: Journal der Deutschen Dermatologischen Gesellschaft 2024;22(10):1350 View
  6. Tan M, Chen J, Cheng J, Hu J, Hu K, Yang J, Li X, Zhang M, Zhu W, Liao L, Kuang Y. Vorhersage von Psoriasis‐Arthritis bei Patienten mit Plaque‐Psoriasis durch neuartiges Nomogramm. JDDG: Journal der Deutschen Dermatologischen Gesellschaft 2024;22(10):1350 View