These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
152 related articles for article (PubMed ID: 33309993)
1. Studying pediatric health outcomes with electronic health records using Bayesian clustering and trajectory analysis. Hubbard RA; Xu J; Siegel R; Chen Y; Eneli I J Biomed Inform; 2021 Jan; 113():103654. PubMed ID: 33309993 [TBL] [Abstract][Full Text] [Related]
2. Childhood body mass index trajectories: modeling, characterizing, pairwise correlations and socio-demographic predictors of trajectory characteristics. Wen X; Kleinman K; Gillman MW; Rifas-Shiman SL; Taveras EM BMC Med Res Methodol; 2012 Mar; 12():38. PubMed ID: 22458308 [TBL] [Abstract][Full Text] [Related]
3. A Bayesian latent class approach for EHR-based phenotyping. Hubbard RA; Huang J; Harton J; Oganisian A; Choi G; Utidjian L; Eneli I; Bailey LC; Chen Y Stat Med; 2019 Jan; 38(1):74-87. PubMed ID: 30252148 [TBL] [Abstract][Full Text] [Related]
4. Age at adiposity rebound and body mass index trajectory from early childhood to adolescence; differences by breastfeeding and maternal immigration background. Besharat Pour M; Bergström A; Bottai M; Magnusson J; Kull I; Moradi T Pediatr Obes; 2017 Feb; 12(1):75-84. PubMed ID: 26910193 [TBL] [Abstract][Full Text] [Related]
5. Developmental trajectories of body mass index from childhood into late adolescence and subsequent late adolescence-young adulthood cardiometabolic risk markers. Oluwagbemigun K; Buyken AE; Alexy U; Schmid M; Herder C; Nöthlings U Cardiovasc Diabetol; 2019 Jan; 18(1):9. PubMed ID: 30660185 [TBL] [Abstract][Full Text] [Related]
6. Electronic health record phenotyping improves detection and screening of type 2 diabetes in the general United States population: A cross-sectional, unselected, retrospective study. Anderson AE; Kerr WT; Thames A; Li T; Xiao J; Cohen MS J Biomed Inform; 2016 Apr; 60():162-8. PubMed ID: 26707455 [TBL] [Abstract][Full Text] [Related]
7. Association of Early Antibiotic Exposure With Childhood Body Mass Index Trajectory Milestones. Aris IM; Lin PD; Rifas-Shiman SL; Bailey LC; Boone-Heinonen J; Eneli IU; Solomonides AE; Janicke DM; Toh S; Forrest CB; Block JP JAMA Netw Open; 2021 Jul; 4(7):e2116581. PubMed ID: 34251440 [TBL] [Abstract][Full Text] [Related]
8. Premature Birth is an Independent Risk Factor for Early Adiposity Rebound: Longitudinal Analysis of BMI Data from Birth to 7 Years. Baldassarre ME; Di Mauro A; Caroli M; Schettini F; Rizzo V; Panza R; De Giorgi A; Capozza M; Fanelli M; Laforgia N Nutrients; 2020 Nov; 12(12):. PubMed ID: 33261215 [TBL] [Abstract][Full Text] [Related]
9. Long-term BMI and growth profiles in offspring of women with gestational diabetes. Hammoud NM; Visser GHA; van Rossem L; Biesma DH; Wit JM; de Valk HW Diabetologia; 2018 May; 61(5):1037-1045. PubMed ID: 29492638 [TBL] [Abstract][Full Text] [Related]
10. Weight Gain Trajectories from Birth to Adolescence and Cardiometabolic Status in Adolescence. Barraclough JY; Garden FL; Toelle BG; Marks GB; Baur LA; Ayer JG; Celermajer DS J Pediatr; 2019 May; 208():89-95.e4. PubMed ID: 30738659 [TBL] [Abstract][Full Text] [Related]
11. The Relation of Adiposity Rebound to Subsequent BMI in a Large Electronic Health Record Database. Freedman DS; Goodman AB; King RJ; Kompaniyets L; Daymont C Child Obes; 2021 Jan; 17(1):51-57. PubMed ID: 33351695 [No Abstract] [Full Text] [Related]
12. Bayesian hierarchical piecewise regression models: a tool to detect trajectory divergence between groups in long-term observational studies. Buscot MJ; Wotherspoon SS; Magnussen CG; Juonala M; Sabin MA; Burgner DP; Lehtimäki T; Viikari JSA; Hutri-Kähönen N; Raitakari OT; Thomson RJ BMC Med Res Methodol; 2017 Jun; 17(1):86. PubMed ID: 28587592 [TBL] [Abstract][Full Text] [Related]
13. Development and evaluation of a computable phenotype to identify pediatric patients with leukemia and lymphoma treated with chemotherapy using electronic health record data. Phillips CA; Razzaghi H; Aglio T; McNeil MJ; Salvesen-Quinn M; Sopfe J; Wilkes JJ; Forrest CB; Bailey LC Pediatr Blood Cancer; 2019 Sep; 66(9):e27876. PubMed ID: 31207054 [TBL] [Abstract][Full Text] [Related]
14. Can the Use of Bayesian Analysis Methods Correct for Incompleteness in Electronic Health Records Diagnosis Data? Development of a Novel Method Using Simulated and Real-Life Clinical Data. Ford E; Rooney P; Hurley P; Oliver S; Bremner S; Cassell J Front Public Health; 2020; 8():54. PubMed ID: 32211363 [No Abstract] [Full Text] [Related]
15. Maternal metabolic factors during pregnancy predict early childhood growth trajectories and obesity risk: the CANDLE Study. Hu Z; Tylavsky FA; Han JC; Kocak M; Fowke JH; Davis RL; Lewinn K; Bush NR; Zhao Q Int J Obes (Lond); 2019 Oct; 43(10):1914-1922. PubMed ID: 30705389 [TBL] [Abstract][Full Text] [Related]
16. Interrelationships among age at adiposity rebound, BMI during childhood, and BMI after age 14 years in an electronic health record database. Freedman DS; Goodwin-Davies AJ; Kompaniyets L; Lange SJ; Goodman AB; Phan TT; Rao S; Eneli I; Forrest CB Obesity (Silver Spring); 2022 Jan; 30(1):201-208. PubMed ID: 34932881 [TBL] [Abstract][Full Text] [Related]
17. Does a parsimonious measure of complex body mass index trajectories exist? Sokol RL; Gottfredson NC; Poti JM; Halpern CT; Shanahan ME; Fisher EB; Ennett ST Int J Obes (Lond); 2019 May; 43(5):1113-1119. PubMed ID: 30206334 [TBL] [Abstract][Full Text] [Related]
18. Leptin trajectories from birth to mid-childhood and cardio-metabolic health in early adolescence. Li LJ; Rifas-Shiman SL; Aris IM; Mantzoros C; Hivert MF; Oken E Metabolism; 2019 Feb; 91():30-38. PubMed ID: 30412696 [TBL] [Abstract][Full Text] [Related]
19. Associations between Childhood Disadvantage and Adult Body Mass Index Trajectories: A Follow-Up Study among Midlife Finnish Municipal Employees. Salmela J; Mauramo E; Lallukka T; Rahkonen O; Kanerva N Obes Facts; 2019; 12(5):564-574. PubMed ID: 31484183 [TBL] [Abstract][Full Text] [Related]