Primary prevention cardiovascular disease risk prediction model for contemporary Chinese (1°P-CARDIAC): Model derivation and validation using a hybrid statistical and machine-learning approach.
Saved in:
| Title: | Primary prevention cardiovascular disease risk prediction model for contemporary Chinese (1°P-CARDIAC): Model derivation and validation using a hybrid statistical and machine-learning approach. |
|---|---|
| Authors: | Zhou Y; School of Computing and Data Science, The University of Hong Kong, Hong Kong Special Administration Region, China.; Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong Science and Technology Park, Hong Kong Special Administration Region, China., Lin CJ; School of Nursing, The University of Hong Kong, Hong Kong Special Administration Region, China., Yu Q; Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong Science and Technology Park, Hong Kong Special Administration Region, China.; Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong Special Administration Region, China., Blais JE; Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong Special Administration Region, China., Wan EYF; Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong Special Administration Region, China.; Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong Special Administration Region, China.; Advanced Data Analytics for Medical Science (ADAMS) Limited, Hong Kong Special Administration Region, China., Wong E; Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administration Region, China., Tan K; Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administration Region, China., Siu DC; Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administration Region, China., Yiu KH; Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administration Region, China., Chan EWY; Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong Science and Technology Park, Hong Kong Special Administration Region, China.; Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong Special Administration Region, China., Yu D; School of Nursing, The University of Hong Kong, Hong Kong Special Administration Region, China., Wong W; Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong Special Administration Region, China., Lam TW; School of Computing and Data Science, The University of Hong Kong, Hong Kong Special Administration Region, China., Wong ICK; Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong Science and Technology Park, Hong Kong Special Administration Region, China.; Advanced Data Analytics for Medical Science (ADAMS) Limited, Hong Kong Special Administration Region, China.; Aston Pharmacy School, Aston University, Birmingham, United Kingdom., Luo R; School of Computing and Data Science, The University of Hong Kong, Hong Kong Special Administration Region, China.; Advanced Data Analytics for Medical Science (ADAMS) Limited, Hong Kong Special Administration Region, China., Chui CSL; Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong Science and Technology Park, Hong Kong Special Administration Region, China.; School of Nursing, The University of Hong Kong, Hong Kong Special Administration Region, China.; Advanced Data Analytics for Medical Science (ADAMS) Limited, Hong Kong Special Administration Region, China. |
| Source: | PloS one [PLoS One] 2025 Jul 28; Vol. 20 (7), pp. e0322419. Date of Electronic Publication: 2025 Jul 28 (Print Publication: 2025). |
| Publication Type: | Journal Article; Validation Study |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40720453 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Primary prevention cardiovascular disease risk prediction model for contemporary Chinese (1°P-CARDIAC): Model derivation and validation using a hybrid statistical and machine-learning approach. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Zhou+Y%22">Zhou Y</searchLink>; School of Computing and Data Science, The University of Hong Kong, Hong Kong Special Administration Region, China.; Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong Science and Technology Park, Hong Kong Special Administration Region, China.<br /><searchLink fieldCode="AU" term="%22Lin+CJ%22">Lin CJ</searchLink>; School of Nursing, The University of Hong Kong, Hong Kong Special Administration Region, China.<br /><searchLink fieldCode="AU" term="%22Yu+Q%22">Yu Q</searchLink>; Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong Science and Technology Park, Hong Kong Special Administration Region, China.; Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong Special Administration Region, China.<br /><searchLink fieldCode="AU" term="%22Blais+JE%22">Blais JE</searchLink>; Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong Special Administration Region, China.<br /><searchLink fieldCode="AU" term="%22Wan+EYF%22">Wan EYF</searchLink>; Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong Special Administration Region, China.; Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong Special Administration Region, China.; Advanced Data Analytics for Medical Science (ADAMS) Limited, Hong Kong Special Administration Region, China.<br /><searchLink fieldCode="AU" term="%22Wong+E%22">Wong E</searchLink>; Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administration Region, China.<br /><searchLink fieldCode="AU" term="%22Tan+K%22">Tan K</searchLink>; Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administration Region, China.<br /><searchLink fieldCode="AU" term="%22Siu+DC%22">Siu DC</searchLink>; Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administration Region, China.<br /><searchLink fieldCode="AU" term="%22Yiu+KH%22">Yiu KH</searchLink>; Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administration Region, China.<br /><searchLink fieldCode="AU" term="%22Chan+EWY%22">Chan EWY</searchLink>; Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong Science and Technology Park, Hong Kong Special Administration Region, China.; Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong Special Administration Region, China.<br /><searchLink fieldCode="AU" term="%22Yu+D%22">Yu D</searchLink>; School of Nursing, The University of Hong Kong, Hong Kong Special Administration Region, China.<br /><searchLink fieldCode="AU" term="%22Wong+W%22">Wong W</searchLink>; Department of Family Medicine and Primary Care, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong Special Administration Region, China.<br /><searchLink fieldCode="AU" term="%22Lam+TW%22">Lam TW</searchLink>; School of Computing and Data Science, The University of Hong Kong, Hong Kong Special Administration Region, China.<br /><searchLink fieldCode="AU" term="%22Wong+ICK%22">Wong ICK</searchLink>; Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong Science and Technology Park, Hong Kong Special Administration Region, China.; Advanced Data Analytics for Medical Science (ADAMS) Limited, Hong Kong Special Administration Region, China.; Aston Pharmacy School, Aston University, Birmingham, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Luo+R%22">Luo R</searchLink>; School of Computing and Data Science, The University of Hong Kong, Hong Kong Special Administration Region, China.; Advanced Data Analytics for Medical Science (ADAMS) Limited, Hong Kong Special Administration Region, China.<br /><searchLink fieldCode="AU" term="%22Chui+CSL%22">Chui CSL</searchLink>; Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong Science and Technology Park, Hong Kong Special Administration Region, China.; School of Nursing, The University of Hong Kong, Hong Kong Special Administration Region, China.; Advanced Data Analytics for Medical Science (ADAMS) Limited, Hong Kong Special Administration Region, China. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101285081%22">PloS one</searchLink> [PLoS One] 2025 Jul 28; Vol. 20 (7), pp. e0322419. <i>Date of Electronic Publication: </i>2025 Jul 28 (<i>Print Publication: </i>2025). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Validation Study – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Public+Library+of+Science%22">Public Library of Science </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101285081 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>1932-6203 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2219326203%22">19326203 </searchLink><i>NLM ISO Abbreviation: </i>PLoS One <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40720453 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pone.0322419 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: e0322419 Titles: – TitleFull: Primary prevention cardiovascular disease risk prediction model for contemporary Chinese (1°P-CARDIAC): Model derivation and validation using a hybrid statistical and machine-learning approach. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhou Y – PersonEntity: Name: NameFull: Lin CJ – PersonEntity: Name: NameFull: Yu Q – PersonEntity: Name: NameFull: Blais JE – PersonEntity: Name: NameFull: Wan EYF – PersonEntity: Name: NameFull: Wong E – PersonEntity: Name: NameFull: Tan K – PersonEntity: Name: NameFull: Siu DC – PersonEntity: Name: NameFull: Yiu KH – PersonEntity: Name: NameFull: Chan EWY – PersonEntity: Name: NameFull: Yu D – PersonEntity: Name: NameFull: Wong W – PersonEntity: Name: NameFull: Lam TW – PersonEntity: Name: NameFull: Wong ICK – PersonEntity: Name: NameFull: Luo R – PersonEntity: Name: NameFull: Chui CSL IsPartOfRelationships: – BibEntity: Dates: – D: 28 M: 07 Text: 2025 Jul 28 Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 1932-6203 Numbering: – Type: volume Value: 20 – Type: issue Value: 7 Titles: – TitleFull: PloS one Type: main |
| ResultId | 1 |
