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

Theme issue 2019: Health Natural Language Processing (17) Clinical Information and Decision Making (1434) Decision Support for Health Professionals (1210) Insomnia and Sleep Hygiene (177)

Published on in Vol 8, No 4 (2020): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16749, first published .
Symptom Distribution Regularity of Insomnia: Network and Spectral Clustering Analysis

Symptom Distribution Regularity of Insomnia: Network and Spectral Clustering Analysis

Symptom Distribution Regularity of Insomnia: Network and Spectral Clustering Analysis

Authors of this article:

Fang Hu1 Author Orcid Image ;   Liuhuan Li1 Author Orcid Image ;   Xiaoyu Huang2 Author Orcid Image ;   Xingyu Yan1 Author Orcid Image ;   Panpan Huang2 Author Orcid Image
Article Authors Cited by (10) Tweetations (1) Metrics

Journals

  1. Hu F, Huang M, Sun J, Zhang X, Liu J. An analysis model of diagnosis and treatment for COVID-19 pandemic based on medical information fusion. Information Fusion 2021;73:11 View
  2. Kim S. Recent Trends of Artificial Intelligence and Machine Learning for Insomnia Research. Chronobiology in Medicine 2021;3(1):16 View
  3. Gauld C, Lopez R, Morin C, Geoffroy P, Maquet J, Desvergnes P, McGonigal A, Dauvilliers Y, Philip P, Dumas G, Micoulaud‐Franchi J. Symptom network analysis of the sleep disorders diagnostic criteria based on the clinical text of the ICSD‐3. Journal of Sleep Research 2022;31(1) View
  4. Matta J, Singh V, Auten T, Sanjel P, Gaito S. Inferred networks, machine learning, and health data. PLOS ONE 2023;18(1):e0280910 View
  5. Roland A, Windal M, Briganti G, Kornreich C, Mairesse O. Intensity and Network Structure of Insomnia Symptoms and the Role of Mental Health During the First Two Waves of the COVID-19 Pandemic. Nature and Science of Sleep 2023;Volume 15:1003 View
  6. Ingle M, Sharma M, Kumar K, Kumar P, Bhurane A, Elphick H, Joshi D, Acharya U. A systematic review on automatic identification of insomnia. Physiological Measurement 2024;45(3):03TR01 View
  7. Goossens Z, Bilterys T, Van Looveren E, Malfliet A, Meeus M, Danneels L, Ickmans K, Cagnie B, Roland A, Moens M, Nijs J, De Baets L, Mairesse O. The Role of Anxiety and Depression in Shaping the Sleep–Pain Connection in Patients with Nonspecific Chronic Spinal Pain and Comorbid Insomnia: A Cross-Sectional Analysis. Journal of Clinical Medicine 2024;13(5):1452 View
  8. Wang M, Xing L, Pan Y, Gu F, Fang J, Yu X, Pang C, Chong K, Cheung C, Liao X, Fang X, Yang J, Zhou R, Zhou X, Wang F, Liu W. AI-Based Advanced Approaches and Dry Eye Disease Detection Based on Multi-Source Evidence: Cases, Applications, Issues, and Future Directions. Big Data Mining and Analytics 2024;7(2):445 View
  9. Li Y, Luan Z, Liu Y, Liu H, Qi J, Han D. Automated information extraction model enhancing traditional Chinese medicine RCT evidence extraction (Evi-BERT): algorithm development and validation. Frontiers in Artificial Intelligence 2024;7 View
  10. Gauld C, Wakefield J, Micoulaud-Franchi J. Proposing a Definition for Sleep Disorders: An Epistemological Review. Sleep Medicine Reviews 2024:102028 View