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

Decision Support for Health Professionals (1147) Complementary and Alternative Medicine (18) Machine Learning (1401)

Published on in Vol 8, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17580, first published .
Neural Network–Based Clinical Prediction System for Identifying the Clinical Effects of Saffron (Crocus sativus L) Supplement Therapy on Allergic Asthma: Model Evaluation Study

Neural Network–Based Clinical Prediction System for Identifying the Clinical Effects of Saffron (Crocus sativus L) Supplement Therapy on Allergic Asthma: Model Evaluation Study

Neural Network–Based Clinical Prediction System for Identifying the Clinical Effects of Saffron (Crocus sativus L) Supplement Therapy on Allergic Asthma: Model Evaluation Study

Authors of this article:

Seyed Ahmad Hosseini1, 2 Author Orcid Image ;   Amir Jamshidnezhad1, 3 Author Orcid Image ;   Marzie Zilaee1 Author Orcid Image ;   Behzad Fouladi Dehaghi4, 5 Author Orcid Image ;   Abbas Mohammadi4, 5 Author Orcid Image ;   Seyed Mohsen Hosseini3 Author Orcid Image
Article Authors Cited by (3) Tweetations (1) Metrics

Journals

  1. Singletary K. Saffron. Nutrition Today 2020;55(6):294 View
  2. Khazdair M, Gholamnezhad Z, Rezaee R, Boskabady M. A qualitative and quantitative comparison of Crocus sativus and Nigella sativa immunomodulatory effects. Biomedicine & Pharmacotherapy 2021;140:111774 View
  3. Tahmasebi M, Veissi M, Hosseini S, Jamshidnezhad A. Effect of vitamin D supplementation on inflammatory markers and total antioxidant capacity in breast cancer women using a machine learning technique. Exploration of Targeted Anti-tumor Therapy 2023:1059 View