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For: Inbar O, Inbar O, Reuveny R, Segel MJ, Greenspan H, Scheinowitz M. A Machine Learning Approach to the Interpretation of Cardiopulmonary Exercise Tests: Development and Validation. Pulm Med 2021;2021:5516248. [PMID: 34158976 DOI: 10.1155/2021/5516248] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Revised: 04/25/2021] [Accepted: 05/20/2021] [Indexed: 11/17/2022]  Open
Number Cited by Other Article(s)
1
Medhi D, Kamidi SR, Mamatha Sree KP, Shaikh S, Rasheed S, Thengu Murichathil AH, Nazir Z. Artificial Intelligence and Its Role in Diagnosing Heart Failure: A Narrative Review. Cureus 2024;16:e59661. [PMID: 38836155 PMCID: PMC11148729 DOI: 10.7759/cureus.59661] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/04/2024] [Indexed: 06/06/2024]  Open
2
Antão J, de Mast J, Marques A, Franssen FME, Spruit MA, Deng Q. Demystification of artificial intelligence for respiratory clinicians managing patients with obstructive lung diseases. Expert Rev Respir Med 2023;17:1207-1219. [PMID: 38270524 DOI: 10.1080/17476348.2024.2302940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 01/04/2024] [Indexed: 01/26/2024]
3
Cauwenberghs N, Sente J, Van Criekinge H, Sabovčik F, Ntalianis E, Haddad F, Claes J, Claessen G, Budts W, Goetschalckx K, Cornelissen V, Kuznetsova T. Integrative Interpretation of Cardiopulmonary Exercise Tests for Cardiovascular Outcome Prediction: A Machine Learning Approach. Diagnostics (Basel) 2023;13:2051. [PMID: 37370946 DOI: 10.3390/diagnostics13122051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 06/01/2023] [Accepted: 06/10/2023] [Indexed: 06/29/2023]  Open
4
Zignoli A. Machine Learning Models for the Automatic Detection of Exercise Thresholds in Cardiopulmonary Exercising Tests: From Regression to Generation to Explanation. SENSORS (BASEL, SWITZERLAND) 2023;23:826. [PMID: 36679622 PMCID: PMC9867502 DOI: 10.3390/s23020826] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Revised: 01/02/2023] [Accepted: 01/05/2023] [Indexed: 06/17/2023]
5
Deng J, Fu Y, Liu Q, Chang L, Li H, Liu S. Automatic Cardiopulmonary Endurance Assessment: A Machine Learning Approach Based on GA-XGBOOST. Diagnostics (Basel) 2022;12:2538. [PMID: 36292227 PMCID: PMC9600669 DOI: 10.3390/diagnostics12102538] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 10/05/2022] [Accepted: 10/08/2022] [Indexed: 03/14/2024]  Open
6
Coronato N, Brown DE, Sharma Y, Bar-Yoseph R, Radom-Aizik S, Cooper DM. Functional Data Analysis for Predicting Pediatric Failure to Complete Ten Brief Exercise Bouts. IEEE J Biomed Health Inform 2022;26:5953-5963. [PMID: 36103443 PMCID: PMC10011010 DOI: 10.1109/jbhi.2022.3206100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
7
Brown DE, Sharma S, Jablonski JA, Weltman A. Neural network methods for diagnosing patient conditions from cardiopulmonary exercise testing data. BioData Min 2022;15:16. [PMID: 35964102 PMCID: PMC9375280 DOI: 10.1186/s13040-022-00299-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Accepted: 06/27/2022] [Indexed: 11/30/2022]  Open
8
Portella JJ, Andonian BJ, Brown DE, Mansur J, Wales D, West VL, Kraus WE, Hammond WE. Using Machine Learning to Identify Organ System Specific Limitations to Exercise via Cardiopulmonary Exercise Testing. IEEE J Biomed Health Inform 2022;26:4228-4237. [PMID: 35353709 PMCID: PMC9512518 DOI: 10.1109/jbhi.2022.3163402] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
9
Sharma Y, Coronato N, Brown DE. Encoding Cardiopulmonary Exercise Testing Time Series as Images for Classification using Convolutional Neural Network. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2022;2022:1611-1614. [PMID: 36086506 PMCID: PMC10436355 DOI: 10.1109/embc48229.2022.9871878] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
10
An allometric model-based approach for estimating biomass in seven Indian bamboo species in western Himalayan foothills, India. Sci Rep 2022;12:7527. [PMID: 35534634 PMCID: PMC9085753 DOI: 10.1038/s41598-022-11394-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 04/15/2022] [Indexed: 11/30/2022]  Open
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