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

Machine Learning (2161) Sleep Apnea (38) Sleep Medicine (44) Clinical Information and Decision Making (1992) Decision Support for Health Professionals (1585) Clinical Informatics (1373)

Published on in Vol 9, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25124, first published .
Enhancing Obstructive Sleep Apnea Diagnosis With Screening Through Disease Phenotypes: Algorithm Development and Validation

Enhancing Obstructive Sleep Apnea Diagnosis With Screening Through Disease Phenotypes: Algorithm Development and Validation

Enhancing Obstructive Sleep Apnea Diagnosis With Screening Through Disease Phenotypes: Algorithm Development and Validation

Authors of this article:

Daniela Ferreira-Santos1, 2 Author Orcid Image ;   Pedro Pereira Rodrigues1, 2 Author Orcid Image
Article Authors Cited by (4) Tweetations (2) Metrics

Journals

  1. Ruz G, Henríquez P, Mascareño A. Bayesian Constitutionalization: Twitter Sentiment Analysis of the Chilean Constitutional Process through Bayesian Network Classifiers. Mathematics 2022;10(2):166 View
  2. de Araujo Dantas A, Gonçalves F, Martins A, Alves G, Stechman-Neto J, Corrêa C, Santos R, Nascimento W, de Araujo C, Taveira K. Worldwide prevalence and associated risk factors of obstructive sleep apnea: a meta-analysis and meta-regression. Sleep and Breathing 2023;27(6):2083 View
  3. Huang J, Zhuang J, Zheng H, Yao L, Chen Q, Wang J, Fan C. A Machine Learning Prediction Model of Adult Obstructive Sleep Apnea Based on Systematically Evaluated Common Clinical Biochemical Indicators. Nature and Science of Sleep 2024;Volume 16:413 View
  4. Chi H, Dabbs-Brown A, Jurek-Loughrey A, Mulhall J, Pham T, Doan N, Tran V, Zhang Z, Nguyen X, An Y, Li P, Nguyen P, Hoang T, Shi X, Vandierendonck H, Bailly S, Pépin J, Mai T. Obstructive Sleep Apnea Prediction: A Comprehensive Review and Comparative Study. Machine Learning 2026;115(2) View