Accessibility settings

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 .
Woman with glasses blowing nose with tissue, suffering from cold or allergies

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

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
  4. Iqbal M, Devarajan K, Ahmed S. RDN-NET: A Deep Learning Framework for Asthma Prediction and Classification Using Recurrent Deep Neural Network. International Journal of Image and Graphics 2024;24(06) View
  5. Soltani S, khodaie L, Surana V. Artificial Intelligence Perspectives in Advancing Persian Herbal Medicine: A systematic review. Advances in Integrative Medicine 2025 View
  6. Farha F, Abass S, Khan S, Ali J, Parveen B, Ahmad S, Parveen R. Transforming pulmonary health care: the role of artificial intelligence in diagnosis and treatment. Expert Review of Respiratory Medicine 2025;19(6):575 View