A Deep Learning Model for Inferring Elevated Pulmonary Capillary Wedge Pressures From the 12-Lead Electrocardiogram.
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| Title: | A Deep Learning Model for Inferring Elevated Pulmonary Capillary Wedge Pressures From the 12-Lead Electrocardiogram. |
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| Authors: | Schlesinger DE; Harvard-MIT Division of Health Sciences and Technology, MIT, Cambridge, Massachusetts, USA.; Institute for Medical Engineering and Science, MIT, Cambridge, Massachusetts, USA.; Research Laboratory of Electronics, Computer Science & Artificial Intelligence Laboratory, MIT, Cambridge, Massachusetts, USA., Diamant N; Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA., Raghu A; Research Laboratory of Electronics, Computer Science & Artificial Intelligence Laboratory, MIT, Cambridge, Massachusetts, USA.; Department of Electrical Engineering and Computer Science, MIT, Cambridge, Massachusetts, USA., Reinertsen E; Research Laboratory of Electronics, Computer Science & Artificial Intelligence Laboratory, MIT, Cambridge, Massachusetts, USA.; Division of Cardiology, Massachusetts General Hospital, Boston, Massachusetts, USA., Young K; Harvard-MIT Division of Health Sciences and Technology, MIT, Cambridge, Massachusetts, USA., Batra P; Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA., Pomerantsev E; Division of Cardiology, Massachusetts General Hospital, Boston, Massachusetts, USA., Stultz CM; Harvard-MIT Division of Health Sciences and Technology, MIT, Cambridge, Massachusetts, USA.; Institute for Medical Engineering and Science, MIT, Cambridge, Massachusetts, USA.; Research Laboratory of Electronics, Computer Science & Artificial Intelligence Laboratory, MIT, Cambridge, Massachusetts, USA.; Department of Electrical Engineering and Computer Science, MIT, Cambridge, Massachusetts, USA.; Division of Cardiology, Massachusetts General Hospital, Boston, Massachusetts, USA. |
| Source: | JACC. Advances [JACC Adv] 2022 Mar 18; Vol. 1 (1), pp. 100003. Date of Electronic Publication: 2022 Mar 18 (Print Publication: 2022). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Inc Country of Publication: United States NLM ID: 9918419284106676 Publication Model: eCollection Cited Medium: Internet ISSN: 2772-963X (Electronic) Linking ISSN: 2772963X NLM ISO Abbreviation: JACC Adv Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 38939079 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=38939079 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.jacadv.2022.100003 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 100003 Titles: – TitleFull: A Deep Learning Model for Inferring Elevated Pulmonary Capillary Wedge Pressures From the 12-Lead Electrocardiogram. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Schlesinger DE – PersonEntity: Name: NameFull: Diamant N – PersonEntity: Name: NameFull: Raghu A – PersonEntity: Name: NameFull: Reinertsen E – PersonEntity: Name: NameFull: Young K – PersonEntity: Name: NameFull: Batra P – PersonEntity: Name: NameFull: Pomerantsev E – PersonEntity: Name: NameFull: Stultz CM IsPartOfRelationships: – BibEntity: Dates: – D: 18 M: 03 Text: 2022 Mar 18 Type: published Y: 2022 Identifiers: – Type: issn-electronic Value: 2772-963X Numbering: – Type: volume Value: 1 – Type: issue Value: 1 Titles: – TitleFull: JACC. Advances Type: main |
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