These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
118 related articles for article (PubMed ID: 34891755)
1. Novel COVID-19 Screening Using Cough Recordings of A Mobile Patient Monitoring System. Zhang X; Pettinati M; Jalali A; Rajput KS; Selvaraj N Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():2353-2357. PubMed ID: 34891755 [TBL] [Abstract][Full Text] [Related]
2. Automatic and Robust Identification of Spontaneous Coughs from COVID-19 Patients. Pettinati MJ; Zhang X; Jalali A; Rajput KS; Selvaraj N Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():2252-2257. PubMed ID: 34891735 [TBL] [Abstract][Full Text] [Related]
3. Limitations of the Cough Sound-Based COVID-19 Diagnosis Artificial Intelligence Model and its Future Direction: Longitudinal Observation Study. Kim J; Choi YS; Lee YJ; Yeo SG; Kim KW; Kim MS; Rahmati M; Yon DK; Lee J J Med Internet Res; 2024 Feb; 26():e51640. PubMed ID: 38319694 [TBL] [Abstract][Full Text] [Related]
4. COVID-19 detection in cough, breath and speech using deep transfer learning and bottleneck features. Pahar M; Klopper M; Warren R; Niesler T Comput Biol Med; 2022 Feb; 141():105153. PubMed ID: 34954610 [TBL] [Abstract][Full Text] [Related]
5. The COUGHVID crowdsourcing dataset, a corpus for the study of large-scale cough analysis algorithms. Orlandic L; Teijeiro T; Atienza D Sci Data; 2021 Jun; 8(1):156. PubMed ID: 34162883 [TBL] [Abstract][Full Text] [Related]
6. Development and External Validation of a Machine Learning Tool to Rule Out COVID-19 Among Adults in the Emergency Department Using Routine Blood Tests: A Large, Multicenter, Real-World Study. Plante TB; Blau AM; Berg AN; Weinberg AS; Jun IC; Tapson VF; Kanigan TS; Adib AB J Med Internet Res; 2020 Dec; 22(12):e24048. PubMed ID: 33226957 [TBL] [Abstract][Full Text] [Related]
7. An ensemble learning approach to digital corona virus preliminary screening from cough sounds. Mohammed EA; Keyhani M; Sanati-Nezhad A; Hejazi SH; Far BH Sci Rep; 2021 Jul; 11(1):15404. PubMed ID: 34321592 [TBL] [Abstract][Full Text] [Related]
8. Towards Multimodal Equipment to Help in the Diagnosis of COVID-19 Using Machine Learning Algorithms. Villa-Parra AC; Criollo I; Valadão C; Silva L; Coelho Y; Lampier L; Rangel L; Sharma G; Delisle-Rodríguez D; Calle-Siguencia J; Urgiles-Ortiz F; Díaz C; Caldeira E; Krishnan S; Bastos-Filho T Sensors (Basel); 2022 Jun; 22(12):. PubMed ID: 35746121 [TBL] [Abstract][Full Text] [Related]
9. Screening COVID-19 by Swaasa AI platform using cough sounds: a cross-sectional study. Pentakota P; Rudraraju G; Sripada NR; Mamidgi B; Gottipulla C; Jalukuru C; Palreddy SD; Bhoge NKR; Firmal P; Yechuri V; Jain M; Peddireddi VS; Bhimarasetty DM; Sreenivas S; Prasad K KL; Joshi N; Vijayan S; Turaga S; Avasarala V Sci Rep; 2023 Oct; 13(1):18284. PubMed ID: 37880351 [TBL] [Abstract][Full Text] [Related]
10. Reliability of crowdsourced data and patient-reported outcome measures in cough-based COVID-19 screening. Xiong H; Berkovsky S; Kâafar MA; Jaffe A; Coiera E; Sharan RV Sci Rep; 2022 Dec; 12(1):21990. PubMed ID: 36539519 [TBL] [Abstract][Full Text] [Related]
11. Detection of COVID-19 in smartphone-based breathing recordings: A pre-screening deep learning tool. Alkhodari M; Khandoker AH PLoS One; 2022; 17(1):e0262448. PubMed ID: 35025945 [TBL] [Abstract][Full Text] [Related]
12. A study of using cough sounds and deep neural networks for the early detection of Covid-19. Islam R; Abdel-Raheem E; Tarique M Biomed Eng Adv; 2022 Jun; 3():100025. PubMed ID: 35013733 [TBL] [Abstract][Full Text] [Related]
13. A Machine Hearing System for Robust Cough Detection Based on a High-Level Representation of Band-Specific Audio Features. Monge-Alvarez J; Hoyos-Barcelo C; San-Jose-Revuelta LM; Casaseca-de-la-Higuera P IEEE Trans Biomed Eng; 2019 Aug; 66(8):2319-2330. PubMed ID: 30575527 [TBL] [Abstract][Full Text] [Related]
14. A semi-supervised algorithm for improving the consistency of crowdsourced datasets: The COVID-19 case study on respiratory disorder classification. Orlandic L; Teijeiro T; Atienza D Comput Methods Programs Biomed; 2023 Nov; 241():107743. PubMed ID: 37598473 [TBL] [Abstract][Full Text] [Related]
15. Clinical decision support tool for diagnosis of COVID-19 in hospitals. Saegerman C; Gilbert A; Donneau AF; Gangolf M; Diep AN; Meex C; Bontems S; Hayette MP; D'Orio V; Ghuysen A PLoS One; 2021; 16(3):e0247773. PubMed ID: 33705435 [TBL] [Abstract][Full Text] [Related]
16. Exploring Longitudinal Cough, Breath, and Voice Data for COVID-19 Progression Prediction via Sequential Deep Learning: Model Development and Validation. Dang T; Han J; Xia T; Spathis D; Bondareva E; Siegele-Brown C; Chauhan J; Grammenos A; Hasthanasombat A; Floto RA; Cicuta P; Mascolo C J Med Internet Res; 2022 Jun; 24(6):e37004. PubMed ID: 35653606 [TBL] [Abstract][Full Text] [Related]
17. Denoising Cough Sound Recordings Using Neural Networks Jose L; Berkovsky S; Xiong H; Mascolo C; Sharan RV Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul; 2023():1-4. PubMed ID: 38082867 [TBL] [Abstract][Full Text] [Related]
18. COVID-19 cough sound symptoms classification from scalogram image representation using deep learning models. Loey M; Mirjalili S Comput Biol Med; 2021 Dec; 139():105020. PubMed ID: 34775155 [TBL] [Abstract][Full Text] [Related]
19. COVID-19 Mortality Prediction From Deep Learning in a Large Multistate Electronic Health Record and Laboratory Information System Data Set: Algorithm Development and Validation. Sankaranarayanan S; Balan J; Walsh JR; Wu Y; Minnich S; Piazza A; Osborne C; Oliver GR; Lesko J; Bates KL; Khezeli K; Block DR; DiGuardo M; Kreuter J; O'Horo JC; Kalantari J; Klee EW; Salama ME; Kipp B; Morice WG; Jenkinson G J Med Internet Res; 2021 Sep; 23(9):e30157. PubMed ID: 34449401 [TBL] [Abstract][Full Text] [Related]
20. Considerations and Challenges for Real-World Deployment of an Acoustic-Based COVID-19 Screening System. Grant D; McLane I; Rennoll V; West J Sensors (Basel); 2022 Dec; 22(23):. PubMed ID: 36502232 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]