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

Machine Learning (1968) Artificial Intelligence (1994) Big Data (304) Decision Support for Health Professionals (1468) Electronic Health Records (1271) Advanced Data Analytics in eHealth (194)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59858, first published .
Early Diagnosis of Hereditary Angioedema in Japan Based on a US Medical Dataset: Algorithm Development and Validation

Early Diagnosis of Hereditary Angioedema in Japan Based on a US Medical Dataset: Algorithm Development and Validation

Early Diagnosis of Hereditary Angioedema in Japan Based on a US Medical Dataset: Algorithm Development and Validation

Authors of this article:

Kouhei Yamashita1 Author Orcid Image ;   Yuji Nomoto2 Author Orcid Image ;   Tomoya Hirose3 Author Orcid Image ;   Akira Yutani4 Author Orcid Image ;   Akira Okada5 Author Orcid Image ;   Nayu Watanabe5 Author Orcid Image ;   Ken Suzuki5 Author Orcid Image ;   Munenori Senzaki5 Author Orcid Image ;   Tomohiro Kuroda4 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Parker R. The BASIC Bleeding Score: Does It Teach Us More Than Just How to Rate Bleeding?. Pediatric Critical Care Medicine 2025;26(1):e106 View
  2. Grumach A, Riedl M, Cheng L, Jain S, Nova Estepan D, Zanichelli A. Hereditary angioedema diagnosis: Reflecting on the past, envisioning the future. World Allergy Organization Journal 2025;18(6):101060 View