Matches in SemOpenAlex for { <https://semopenalex.org/work/W3176679244> ?p ?o ?g. }
Showing items 1 to 100 of
100
with 100 items per page.
- W3176679244 endingPage "e07419" @default.
- W3176679244 startingPage "e07419" @default.
- W3176679244 abstract "To study if machine learning methodology can be used to detect persons with increased type 2 diabetes or prediabetes risk among people without known abnormal glucose regulation.Machine learning and interpretable machine learning models were applied on research data from Stockholm Diabetes Preventive Program, including more than 8000 people initially with normal glucose tolerance or prediabetes to determine high and low risk features for further impairment in glucose tolerance at follow-up 10 and 20 years later.The features with the highest importance on the outcome were body mass index, waist-hip ratio, age, systolic and diastolic blood pressure, and diabetes heredity. High values of these features as well as diabetes heredity conferred increased risk of type 2 diabetes. . The machine learning model was used to generate individual, comprehensible risk profiles, where the diabetes risk was obtained for each person in the data set. Features with the largest increasing or decreasing effects on the risk were determined.The primary application of this machine learning model is to predict individual type 2 diabetes risk in people without diagnosed diabetes, and to which features the risk relates. However, since most features affecting diabetes risk also play a role for metabolic control in diabetes, e.g. body mass index, diet composition, tobacco use, and stress, the tool can possibly also be used in diabetes care to develop more individualized, easily accessible health care plans to be utilized when encountering the patients." @default.
- W3176679244 created "2021-07-05" @default.
- W3176679244 creator A5003637007 @default.
- W3176679244 creator A5027527891 @default.
- W3176679244 creator A5062697907 @default.
- W3176679244 creator A5073855317 @default.
- W3176679244 creator A5074190308 @default.
- W3176679244 creator A5080456600 @default.
- W3176679244 creator A5084325100 @default.
- W3176679244 creator A5088672317 @default.
- W3176679244 date "2021-07-01" @default.
- W3176679244 modified "2023-10-17" @default.
- W3176679244 title "Machine learning for prediction of diabetes risk in middle-aged Swedish people" @default.
- W3176679244 cites W1982880468 @default.
- W3176679244 cites W1988613836 @default.
- W3176679244 cites W2008762670 @default.
- W3176679244 cites W2014763445 @default.
- W3176679244 cites W2109552319 @default.
- W3176679244 cites W2158698691 @default.
- W3176679244 cites W2791011305 @default.
- W3176679244 cites W2807027008 @default.
- W3176679244 cites W2900329012 @default.
- W3176679244 cites W2911964244 @default.
- W3176679244 cites W2949187711 @default.
- W3176679244 doi "https://doi.org/10.1016/j.heliyon.2021.e07419" @default.
- W3176679244 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8282976" @default.
- W3176679244 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34296003" @default.
- W3176679244 hasPublicationYear "2021" @default.
- W3176679244 type Work @default.
- W3176679244 sameAs 3176679244 @default.
- W3176679244 citedByCount "19" @default.
- W3176679244 countsByYear W31766792442021 @default.
- W3176679244 countsByYear W31766792442022 @default.
- W3176679244 countsByYear W31766792442023 @default.
- W3176679244 crossrefType "journal-article" @default.
- W3176679244 hasAuthorship W3176679244A5003637007 @default.
- W3176679244 hasAuthorship W3176679244A5027527891 @default.
- W3176679244 hasAuthorship W3176679244A5062697907 @default.
- W3176679244 hasAuthorship W3176679244A5073855317 @default.
- W3176679244 hasAuthorship W3176679244A5074190308 @default.
- W3176679244 hasAuthorship W3176679244A5080456600 @default.
- W3176679244 hasAuthorship W3176679244A5084325100 @default.
- W3176679244 hasAuthorship W3176679244A5088672317 @default.
- W3176679244 hasBestOaLocation W31766792441 @default.
- W3176679244 hasConcept C119857082 @default.
- W3176679244 hasConcept C126322002 @default.
- W3176679244 hasConcept C134018914 @default.
- W3176679244 hasConcept C143098186 @default.
- W3176679244 hasConcept C154945302 @default.
- W3176679244 hasConcept C2776193436 @default.
- W3176679244 hasConcept C2777180221 @default.
- W3176679244 hasConcept C2779668308 @default.
- W3176679244 hasConcept C2780221984 @default.
- W3176679244 hasConcept C41008148 @default.
- W3176679244 hasConcept C54355233 @default.
- W3176679244 hasConcept C555293320 @default.
- W3176679244 hasConcept C71924100 @default.
- W3176679244 hasConcept C74909509 @default.
- W3176679244 hasConcept C86803240 @default.
- W3176679244 hasConceptScore W3176679244C119857082 @default.
- W3176679244 hasConceptScore W3176679244C126322002 @default.
- W3176679244 hasConceptScore W3176679244C134018914 @default.
- W3176679244 hasConceptScore W3176679244C143098186 @default.
- W3176679244 hasConceptScore W3176679244C154945302 @default.
- W3176679244 hasConceptScore W3176679244C2776193436 @default.
- W3176679244 hasConceptScore W3176679244C2777180221 @default.
- W3176679244 hasConceptScore W3176679244C2779668308 @default.
- W3176679244 hasConceptScore W3176679244C2780221984 @default.
- W3176679244 hasConceptScore W3176679244C41008148 @default.
- W3176679244 hasConceptScore W3176679244C54355233 @default.
- W3176679244 hasConceptScore W3176679244C555293320 @default.
- W3176679244 hasConceptScore W3176679244C71924100 @default.
- W3176679244 hasConceptScore W3176679244C74909509 @default.
- W3176679244 hasConceptScore W3176679244C86803240 @default.
- W3176679244 hasFunder F4320321030 @default.
- W3176679244 hasFunder F4320322570 @default.
- W3176679244 hasIssue "7" @default.
- W3176679244 hasLocation W31766792441 @default.
- W3176679244 hasLocation W31766792442 @default.
- W3176679244 hasLocation W31766792443 @default.
- W3176679244 hasLocation W31766792444 @default.
- W3176679244 hasOpenAccess W3176679244 @default.
- W3176679244 hasPrimaryLocation W31766792441 @default.
- W3176679244 hasRelatedWork W2116657465 @default.
- W3176679244 hasRelatedWork W2263604327 @default.
- W3176679244 hasRelatedWork W2588116633 @default.
- W3176679244 hasRelatedWork W2803780492 @default.
- W3176679244 hasRelatedWork W2888737344 @default.
- W3176679244 hasRelatedWork W2948194832 @default.
- W3176679244 hasRelatedWork W2997824239 @default.
- W3176679244 hasRelatedWork W3117885438 @default.
- W3176679244 hasRelatedWork W3176951711 @default.
- W3176679244 hasRelatedWork W4220718597 @default.
- W3176679244 hasVolume "7" @default.
- W3176679244 isParatext "false" @default.
- W3176679244 isRetracted "false" @default.
- W3176679244 magId "3176679244" @default.
- W3176679244 workType "article" @default.