{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,3]],"date-time":"2026-05-03T23:46:32Z","timestamp":1777851992470,"version":"3.51.4"},"reference-count":56,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"name":"the European University of Atlantics"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Health Informatics J"],"published-print":{"date-parts":[[2025,1]]},"abstract":"<jats:p>\n                    Objectives: Mechanical ventilator plays a vital role in saving millions of lives. Patients with COVID-19 symptoms need a ventilator to survive during the pandemic. Studies have reported that the mortality rates rise from 50% to 97% in those requiring mechanical ventilation during COVID-19. The pumping of air into the patient\u2019s lungs using a ventilator requires a particular air pressure. High or low ventilator pressure can result in a patient\u2019s life loss as high air pressure in the ventilator causes the patient lung damage while lower pressure provides insufficient oxygen. Consequently, precise prediction of ventilator pressure is a task of great significance in this regard. The primary aim of this study is to predict the airway pressure in the ventilator respiratory circuit during the breath. Methods: A novel hybrid ventilator pressure predictor (H-VPP) approach is proposed. The ventilator exploratory data analysis reveals that the high values of lung attributes R and C during initial time step values are the prominent causes of high ventilator pressure. Results: Experiments using the proposed approach indicate H-VPP achieves a 0.78 R\n                    <jats:sup>2<\/jats:sup>\n                    , mean absolute error of 0.028, and mean squared error of 0.003. These results are better than other machine learning and deep learning models employed in this study. Conclusion: Extensive experimentation indicates the superior performance of the proposed approach for ventilator pressure prediction with high accuracy. Furthermore, performance comparison with state-of-the-art studies corroborates the superior performance of the proposed approach.\n                  <\/jats:p>","DOI":"10.1177\/14604582241295912","type":"journal-article","created":{"date-parts":[[2025,2,23]],"date-time":"2025-02-23T22:31:16Z","timestamp":1740349876000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":5,"title":["Ventilator pressure prediction employing voting regressor with time series data of patient breaths"],"prefix":"10.1177","volume":"31","author":[{"given":"Ali","family":"Raza","sequence":"first","affiliation":[{"name":"Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, Pakistan"}]},{"given":"Furqan","family":"Rustam","sequence":"additional","affiliation":[{"name":"School of Systems and Technology, Department of Software Engineering, University of Management and Technology, Lahore, Pakistan"}]},{"given":"Hafeez Ur Rehman","family":"Siddiqui","sequence":"additional","affiliation":[{"name":"Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, Pakistan"}]},{"given":"Emmanuel Soriano","family":"Flores","sequence":"additional","affiliation":[{"name":"Higher Polytechnic School, Universidad Europea Del Atlantico, Santander, Spain"},{"name":"Department of Project Management, Universidad Internacional Iberoamericana, Campeche, Mexico"}]},{"given":"Juan Luis Vidal","family":"Maz\u00f3n","sequence":"additional","affiliation":[{"name":"Higher Polytechnic School, Universidad Europea Del Atlantico, Santander, Spain"},{"name":"Project Department, Universidade Internacional Do Cuanza, Municipio do Kuito, Angola"}]},{"given":"Isabel","family":"de la Torre D\u00edez","sequence":"additional","affiliation":[{"name":"Department of Signal Theory and Communications and Telematic Engineering, University of Valladolid, Valladolid, Spain"}]},{"given":"Mar\u00eda Asunci\u00f3n Vicente","family":"Ripoll","sequence":"additional","affiliation":[{"name":"Department of Health Psychology, Universidad Miguel Hernandez Ingenieria Telematica, Alicante, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8271-6496","authenticated-orcid":false,"given":"Imran","family":"Ashraf","sequence":"additional","affiliation":[{"name":"Department of Information and Communication Engineering, Yeungnam University, Gyeongsan, South Korea"}]}],"member":"179","published-online":{"date-parts":[[2025,2,23]]},"reference":[{"key":"bibr1-14604582241295912","doi-asserted-by":"publisher","DOI":"10.1016\/j.lfs.2020.118113"},{"key":"bibr2-14604582241295912","doi-asserted-by":"publisher","DOI":"10.1186\/s13613-020-00692-6"},{"key":"bibr3-14604582241295912","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/1926711"},{"key":"bibr4-14604582241295912","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0249038"},{"key":"bibr5-14604582241295912","doi-asserted-by":"publisher","DOI":"10.1016\/S2213-2600(20)30079-5"},{"key":"bibr6-14604582241295912","doi-asserted-by":"publisher","DOI":"10.1164\/rccm.202003-0736LE"},{"key":"bibr7-14604582241295912","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2020.6775"},{"key":"bibr8-14604582241295912","volume-title":"Icnarc COVID-19 study case mix program database","author":"ICNARC I","year":"2020"},{"key":"bibr9-14604582241295912","doi-asserted-by":"publisher","DOI":"10.1016\/j.accpm.2020.04.001"},{"key":"bibr10-14604582241295912","unstructured":"Le Grande C, Dow A. 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