Published on in Vol 4, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://www.medrxiv.org/content/10.1101/2020.09.05.20164731v1, first published .
Diagnosing Chronic Obstructive Airway Disease on a Smartphone Using Patient-Reported Symptoms and Cough Analysis: Diagnostic Accuracy Study

Diagnosing Chronic Obstructive Airway Disease on a Smartphone Using Patient-Reported Symptoms and Cough Analysis: Diagnostic Accuracy Study

Diagnosing Chronic Obstructive Airway Disease on a Smartphone Using Patient-Reported Symptoms and Cough Analysis: Diagnostic Accuracy Study

Journals

  1. Moschovis P, Sampayo E, Cook A, Doros G, Parry B, Lombay J, Kinane T, Taylor K, Keating T, Abeyratne U, Porter P, Carl J. The diagnosis of respiratory disease in children using a phone-based cough and symptom analysis algorithm: The smartphone recordings of cough sounds 2 (SMARTCOUGH-C 2) trial design. Contemporary Clinical Trials 2021;101:106278 View
  2. Claxton S, Porter P, Brisbane J, Bear N, Wood J, Peltonen V, Della P, Smith C, Abeyratne U. Identifying acute exacerbations of chronic obstructive pulmonary disease using patient-reported symptoms and cough feature analysis. npj Digital Medicine 2021;4(1) View
  3. Porter P, Brisbane J, Tan J, Bear N, Choveaux J, Della P, Abeyratne U. Diagnostic Errors Are Common in Acute Pediatric Respiratory Disease: A Prospective, Single-Blinded Multicenter Diagnostic Accuracy Study in Australian Emergency Departments. Frontiers in Pediatrics 2021;9 View
  4. Porter P, Brisbane J, Abeyratne U, Bear N, Claxton S. A smartphone-based algorithm comprising cough analysis and patient-reported symptoms identifies acute exacerbations of asthma: a prospective, double blind, diagnostic accuracy study. Journal of Asthma 2023;60(2):368 View
  5. Ladhams A, Patel S, Çetin M. Implementation of a novel digital diagnostic tool to support the assessment of respiratory disease in a COVID-19 fever clinic. BMJ Innovations 2022;8(1):55 View
  6. Fedorovich A, Gorshkov A, Korolev A, Drapkina O. Smartphone in medicine — from a reference book to a diagnostic system. Overview of the current state of the issue. Cardiovascular Therapy and Prevention 2022;21(9):3298 View
  7. Serrurier A, Neuschaefer-Rube C, Röhrig R. Past and Trends in Cough Sound Acquisition, Automatic Detection and Automatic Classification: A Comparative Review. Sensors 2022;22(8):2896 View
  8. Xu P, Zheng W, Zhu Y, Hussein A. Effect Analysis of Lung Rehabilitation Training in 5A Nursing Mode for Elderly Patients with COPD Based on X-Ray. Computational and Mathematical Methods in Medicine 2022;2022:1 View
  9. Miyamoto M, Yoshihara S, Shioya H, Tadaki H, Imamura T, Enseki M, Koike H, Furuya H, Mochizuki H. Lung sound analysis in infants with risk factors for asthma development. Health Science Reports 2021;4(3) View
  10. Pépin J, Degano B, Tamisier R, Viglino D. Remote Monitoring for Prediction and Management of Acute Exacerbations in Chronic Obstructive Pulmonary Disease (AECOPD). Life 2022;12(4):499 View
  11. Sakama T, Ichinose M, Obara T, Shibata M, Kagawa T, Takakura H, Hirai K, Furuya H, Kato M, Mochizuki H. Effect of wheeze and lung function on lung sound parameters in children with asthma. Allergology International 2023;72(4):545 View
  12. Ghrabli S, Elgendi M, Menon C. Identifying unique spectral fingerprints in cough sounds for diagnosing respiratory ailments. Scientific Reports 2024;14(1) View

Books/Policy Documents

  1. Schwartz M, Oppold P. Human Factors Issues and the Impact of Technology on Society. View