Matches in SemOpenAlex for { <https://semopenalex.org/work/W4323075498> ?p ?o ?g. }
Showing items 1 to 96 of
96
with 100 items per page.
- W4323075498 endingPage "10" @default.
- W4323075498 startingPage "7" @default.
- W4323075498 abstract "The Dutch Congenital hypothyroidism (CH) Newborn Screening (NBS) algorithm for thyroidal and central congenital hypothyroidism (CH-T and CH-C, respectively) is primarily based on determination of thyroxine (T4) concentrations in dried blood spots, followed by thyroid-stimulating hormone (TSH) and thyroxine-binding globulin (TBG) measurements enabling detection of both CH-T and CH-C, with a positive predictive value (PPV) of 21%. A calculated T4/TBG ratio serves as an indirect measure for free T4. The aim of this study is to investigate whether machine learning techniques can help to improve the PPV of the algorithm without missing the positive cases that should have been detected with the current algorithm. NBS data and parameters of CH patients and false-positive referrals in the period 2007–2017 and of a healthy reference population were included in the study. A random forest model was trained and tested using a stratified split and improved using synthetic minority oversampling technique (SMOTE). NBS data of 4668 newborns were included, containing 458 CH-T and 82 CH-C patients, 2332 false-positive referrals and 1670 healthy newborns. Variables determining identification of CH were (in order of importance) TSH, T4/TBG ratio, gestational age, TBG, T4 and age at NBS sampling. In a Receiver-Operating Characteristic (ROC) analysis on the test set, current sensitivity could be maintained, while increasing the PPV to 26%. Machine learning techniques have the potential to improve the PPV of the Dutch CH NBS. However, improved detection of currently missed cases is only possible with new, better predictors of especially CH-C and a better registration and inclusion of these cases in future models." @default.
- W4323075498 created "2023-03-05" @default.
- W4323075498 creator A5002973087 @default.
- W4323075498 creator A5011709757 @default.
- W4323075498 creator A5014960687 @default.
- W4323075498 creator A5021433507 @default.
- W4323075498 creator A5042061862 @default.
- W4323075498 creator A5044217809 @default.
- W4323075498 creator A5065493212 @default.
- W4323075498 creator A5076283649 @default.
- W4323075498 creator A5081209952 @default.
- W4323075498 creator A5091361427 @default.
- W4323075498 date "2023-06-01" @default.
- W4323075498 modified "2023-09-26" @default.
- W4323075498 title "Machine learning to improve false-positive results in the Dutch newborn screening for congenital hypothyroidism" @default.
- W4323075498 cites W2024260705 @default.
- W4323075498 cites W2040203752 @default.
- W4323075498 cites W2067463727 @default.
- W4323075498 cites W2109362965 @default.
- W4323075498 cites W2148143831 @default.
- W4323075498 cites W2265317218 @default.
- W4323075498 cites W2774049067 @default.
- W4323075498 cites W2787660383 @default.
- W4323075498 cites W2911964244 @default.
- W4323075498 cites W3009069826 @default.
- W4323075498 cites W3141240753 @default.
- W4323075498 cites W4211165921 @default.
- W4323075498 doi "https://doi.org/10.1016/j.clinbiochem.2023.03.001" @default.
- W4323075498 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36878346" @default.
- W4323075498 hasPublicationYear "2023" @default.
- W4323075498 type Work @default.
- W4323075498 citedByCount "0" @default.
- W4323075498 crossrefType "journal-article" @default.
- W4323075498 hasAuthorship W4323075498A5002973087 @default.
- W4323075498 hasAuthorship W4323075498A5011709757 @default.
- W4323075498 hasAuthorship W4323075498A5014960687 @default.
- W4323075498 hasAuthorship W4323075498A5021433507 @default.
- W4323075498 hasAuthorship W4323075498A5042061862 @default.
- W4323075498 hasAuthorship W4323075498A5044217809 @default.
- W4323075498 hasAuthorship W4323075498A5065493212 @default.
- W4323075498 hasAuthorship W4323075498A5076283649 @default.
- W4323075498 hasAuthorship W4323075498A5081209952 @default.
- W4323075498 hasAuthorship W4323075498A5091361427 @default.
- W4323075498 hasBestOaLocation W43230754981 @default.
- W4323075498 hasConcept C126322002 @default.
- W4323075498 hasConcept C185592680 @default.
- W4323075498 hasConcept C187212893 @default.
- W4323075498 hasConcept C2776169613 @default.
- W4323075498 hasConcept C2778376644 @default.
- W4323075498 hasConcept C2779234561 @default.
- W4323075498 hasConcept C2779258352 @default.
- W4323075498 hasConcept C2908647359 @default.
- W4323075498 hasConcept C3017516299 @default.
- W4323075498 hasConcept C43617362 @default.
- W4323075498 hasConcept C526584372 @default.
- W4323075498 hasConcept C54355233 @default.
- W4323075498 hasConcept C58471807 @default.
- W4323075498 hasConcept C71924100 @default.
- W4323075498 hasConcept C86803240 @default.
- W4323075498 hasConcept C99454951 @default.
- W4323075498 hasConceptScore W4323075498C126322002 @default.
- W4323075498 hasConceptScore W4323075498C185592680 @default.
- W4323075498 hasConceptScore W4323075498C187212893 @default.
- W4323075498 hasConceptScore W4323075498C2776169613 @default.
- W4323075498 hasConceptScore W4323075498C2778376644 @default.
- W4323075498 hasConceptScore W4323075498C2779234561 @default.
- W4323075498 hasConceptScore W4323075498C2779258352 @default.
- W4323075498 hasConceptScore W4323075498C2908647359 @default.
- W4323075498 hasConceptScore W4323075498C3017516299 @default.
- W4323075498 hasConceptScore W4323075498C43617362 @default.
- W4323075498 hasConceptScore W4323075498C526584372 @default.
- W4323075498 hasConceptScore W4323075498C54355233 @default.
- W4323075498 hasConceptScore W4323075498C58471807 @default.
- W4323075498 hasConceptScore W4323075498C71924100 @default.
- W4323075498 hasConceptScore W4323075498C86803240 @default.
- W4323075498 hasConceptScore W4323075498C99454951 @default.
- W4323075498 hasLocation W43230754981 @default.
- W4323075498 hasLocation W43230754982 @default.
- W4323075498 hasOpenAccess W4323075498 @default.
- W4323075498 hasPrimaryLocation W43230754981 @default.
- W4323075498 hasRelatedWork W152933168 @default.
- W4323075498 hasRelatedWork W1968299406 @default.
- W4323075498 hasRelatedWork W2347600544 @default.
- W4323075498 hasRelatedWork W2360229624 @default.
- W4323075498 hasRelatedWork W2364295629 @default.
- W4323075498 hasRelatedWork W2366779353 @default.
- W4323075498 hasRelatedWork W2382436825 @default.
- W4323075498 hasRelatedWork W2440847464 @default.
- W4323075498 hasRelatedWork W2884679073 @default.
- W4323075498 hasRelatedWork W3028657496 @default.
- W4323075498 hasVolume "116" @default.
- W4323075498 isParatext "false" @default.
- W4323075498 isRetracted "false" @default.
- W4323075498 workType "article" @default.