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Development of Machine Learning Model for VO2max Estimation Using a Patch-Type Single-Lead ECG Monitoring Device in Lung Resection Candidates.

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Bibliographic Details
Title: Development of Machine Learning Model for VO2max Estimation Using a Patch-Type Single-Lead ECG Monitoring Device in Lung Resection Candidates.
Authors: Lee HA; Department of Pulmonary and Critical Care Medicine, Ajou University School of Medicine, Suwon 16499, Republic of Korea., Yu W; Department of Thoracic and Cardiovascular Surgery, Ajou University School of Medicine, Suwon 16499, Republic of Korea., Choi JD; Seers Technology Co., Seongnam-si 13558, Republic of Korea., Lee YS; Seers Technology Co., Seongnam-si 13558, Republic of Korea., Park JW; Department of Pulmonary and Critical Care Medicine, Ajou University School of Medicine, Suwon 16499, Republic of Korea., Jung YJ; Department of Pulmonary and Critical Care Medicine, Ajou University School of Medicine, Suwon 16499, Republic of Korea., Sheen SS; Department of Pulmonary and Critical Care Medicine, Ajou University School of Medicine, Suwon 16499, Republic of Korea., Jung J; Department of Thoracic and Cardiovascular Surgery, Ajou University School of Medicine, Suwon 16499, Republic of Korea., Haam S; Department of Thoracic and Cardiovascular Surgery, Ajou University School of Medicine, Suwon 16499, Republic of Korea., Kim SH; Department of Rehabilitation Medicine, Biomedical Research Institute, Pusan National University Hospital, Busan 49241, Republic of Korea., Park JE; Department of Pulmonary and Critical Care Medicine, Ajou University School of Medicine, Suwon 16499, Republic of Korea.
Source: Healthcare (Basel, Switzerland) [Healthcare (Basel)] 2023 Oct 30; Vol. 11 (21). Date of Electronic Publication: 2023 Oct 30.
Publication Type: Journal Article
Journal Info: Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101666525 Publication Model: Electronic Cited Medium: Print ISSN: 2227-9032 (Print) Linking ISSN: 22279032 NLM ISO Abbreviation: Healthcare (Basel) Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2227-9032
DOI:10.3390/healthcare11212863