BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

174 related articles for article (PubMed ID: 36384058)

  • 1. Prediction model for early childhood caries risk based on behavioral determinants using a machine learning algorithm.
    Qu X; Zhang C; Houser SH; Zhang J; Zou J; Zhang W; Zhang Q
    Comput Methods Programs Biomed; 2022 Dec; 227():107221. PubMed ID: 36384058
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Prediction model of dental caries in 12-year-old children in Sichuan Province based on machine learning.
    Yan X; Sun T; Lu Y; Tan X; Wang Z; Li M
    Hua Xi Kou Qiang Yi Xue Za Zhi; 2023 Dec; 41(6):686-693. PubMed ID: 38597034
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Early Childhood Predictors for Dental Caries: A Machine Learning Approach.
    Toledo Reyes L; Knorst JK; Ortiz FR; Brondani B; Emmanuelli B; Saraiva Guedes R; Mendes FM; Ardenghi TM
    J Dent Res; 2023 Aug; 102(9):999-1006. PubMed ID: 37246832
    [TBL] [Abstract][Full Text] [Related]  

  • 4. An Automated Machine Learning Classifier for Early Childhood Caries.
    Karhade DS; Roach J; Shrestha P; Simancas-Pallares MA; Ginnis J; Burk ZJS; Ribeiro AA; Cho H; Wu D; Divaris K
    Pediatr Dent; 2021 May; 43(3):191-197. PubMed ID: 34172112
    [No Abstract]   [Full Text] [Related]  

  • 5. Homecare protective and risk factors for early childhood caries in Japan.
    Nishide R; Mizutani M; Tanimura S; Kudo N; Nishii T; Hatashita H
    Environ Health Prev Med; 2018 Nov; 23(1):57. PubMed ID: 30400771
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Oral health behavior of children and guardians' beliefs about children's dental caries in Vientiane, Lao People's Democratic Republic (Lao PDR).
    Phanthavong S; Nonaka D; Phonaphone T; Kanda K; Sombouaphan P; Wake N; Sayavong S; Nakasone T; Phongsavath K; Arasaki A
    PLoS One; 2019; 14(1):e0211257. PubMed ID: 30682133
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Risk Factors for Early Childhood Caries in Three-Year-Old Japanese Children: A Prospective Cohort Study.
    Nakayama Y; Ohnishi H
    Pediatr Dent; 2022 Sep; 44(5):346-354. PubMed ID: 36309780
    [No Abstract]   [Full Text] [Related]  

  • 8. Utilization of machine learning models in predicting caries risk groups and oral health-related risk factors in adults.
    Çiftçi BT; Aşantoğrol F
    BMC Oral Health; 2024 Apr; 24(1):430. PubMed ID: 38589865
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Impact of Health Promotion Interventions on Early Childhood Caries Prevention in Children Aged 2-5 Years Receiving Dental Treatment Under General Anesthesia.
    Razeghi S; Amiri P; Mohebbi SZ; Kharazifard MJ
    Front Public Health; 2020; 8():6. PubMed ID: 32175299
    [No Abstract]   [Full Text] [Related]  

  • 10. Predicting dental caries outcomes in young adults using machine learning approach.
    Ogwo C; Brown G; Warren J; Caplan D; Levy S
    BMC Oral Health; 2024 May; 24(1):529. PubMed ID: 38702639
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Salivary cystatin S levels in children with early childhood caries in comparison with caries-free children; statistical analysis and machine learning.
    Koopaie M; Salamati M; Montazeri R; Davoudi M; Kolahdooz S
    BMC Oral Health; 2021 Dec; 21(1):650. PubMed ID: 34922509
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Dental caries status of Lisu preschool children in Yunnan Province, China: a cross-sectional study.
    Zhang S; Li Y; Liu J; Wang W; Ito L; Li SKY; Li Y
    BMC Oral Health; 2019 Jan; 19(1):17. PubMed ID: 30646886
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Development of short forms for screening children's dental caries and urgent treatment needs using item response theory and machine learning methods.
    Xiong D; Marcus M; Maida CA; Lyu Y; Hays RD; Wang Y; Shen J; Spolsky VW; Lee SY; Crall JJ; Liu H
    PLoS One; 2024; 19(3):e0299947. PubMed ID: 38517846
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A staged intervention dental health promotion programme to reduce early childhood caries.
    Davies GM; Duxbury JT; Boothman NJ; Davies RM; Blinkhorn AS
    Community Dent Health; 2005 Jun; 22(2):118-22. PubMed ID: 15984138
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Accuracy of pediatric primary care providers' screening and referral for early childhood caries.
    Pierce KM; Rozier RG; Vann WF
    Pediatrics; 2002 May; 109(5):E82-2. PubMed ID: 11986488
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Caries prevalence and fluoride use in low SES children in Clermont-Ferrand (France).
    Tubert-Jeannin S; Riordan PJ; Manevy R; Lecuyer MM; Pegon-Machat E
    Community Dent Health; 2009 Mar; 26(1):23-8. PubMed ID: 19385436
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Guardian Reports of Children's Sub-optimal Oral Health Are Associated With Clinically Determined Early Childhood Caries, Unrestored Caries Lesions, and History of Toothaches.
    Imes EP; Ginnis J; Shrestha P; Simancas-Pallares MA; Divaris K
    Front Public Health; 2021; 9():751733. PubMed ID: 35004573
    [No Abstract]   [Full Text] [Related]  

  • 18. Dental Caries Risk Assessment in Children 5 Years Old and under via Machine Learning.
    Sadegh-Zadeh SA; Rahmani Qeranqayeh A; Benkhalifa E; Dyke D; Taylor L; Bagheri M
    Dent J (Basel); 2022 Sep; 10(9):. PubMed ID: 36135159
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Promoting parenting strategies to improve tooth brushing in children: design of a non-randomised cluster-controlled trial.
    de Jong-Lenters M; L'Hoir M; Polak E; Duijster D
    BMC Oral Health; 2019 Sep; 19(1):210. PubMed ID: 31492121
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Exploring the cost-effectiveness of child dental caries prevention programmes. Are we comparing apples and oranges?
    Anopa Y; Conway DI
    Evid Based Dent; 2020 Mar; 21(1):5-7. PubMed ID: 32221482
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.