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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

154 related articles for article (PubMed ID: 38690790)

  • 1. Identifying Risk Indicators of Cardiovascular Disease in Fasa Cohort Study (FACS): An Application of Generalized Linear Mixed-Model Tree.
    Asadi F; Homayounfar R; Farjam M; Mehrali Y; Masaebi F; Zayeri F
    Arch Iran Med; 2024 May; 27(5):239-247. PubMed ID: 38690790
    [TBL] [Abstract][Full Text] [Related]  

  • 2. The effect of obesity phenotype changes on cardiovascular outcomes in adults older than 40 years in the prospective cohort of the Tehran lipids and glucose study (TLGS): joint model of longitudinal and time-to-event data.
    Sedaghat Z; Khodakarim S; Sabour S; Valizadeh M; Barzin M; Nejadghaderi SA; Azizi F
    BMC Public Health; 2024 Apr; 24(1):1126. PubMed ID: 38654182
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Short sleep is associated with higher prevalence and increased predicted risk of cardiovascular diseases in an Iranian population: Fasa PERSIAN Cohort Study.
    Yazdanpanah MH; Homayounfar R; Khademi A; Zarei F; Shahidi A; Farjam M
    Sci Rep; 2020 Mar; 10(1):4608. PubMed ID: 32165672
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Laboratory-based and office-based Globorisk scores to predict 10-year risk of cardiovascular diseases among Iranians: results from the Fasa PERSIAN cohort.
    Jahangiry L; Dehghan A; Farjam M; Aune D; Rezaei F
    BMC Med Res Methodol; 2022 Nov; 22(1):305. PubMed ID: 36435774
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Study of cardiovascular disease prediction model based on random forest in eastern China.
    Yang L; Wu H; Jin X; Zheng P; Hu S; Xu X; Yu W; Yan J
    Sci Rep; 2020 Mar; 10(1):5245. PubMed ID: 32251324
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Impact of modifiable risk factors on prediction of 10-year cardiovascular disease utilizing framingham risk score in Southwest Iran.
    Saki N; Babaahmadi-Rezaei H; Rahimi Z; Raeisizadeh M; Jorfi F; Seif F; Cheraghian B; Ghaderi-Zefrehi H; Rezaei M
    BMC Cardiovasc Disord; 2023 Jul; 23(1):358. PubMed ID: 37464305
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Predicting daily outcomes in acetaminophen-induced acute liver failure patients with machine learning techniques.
    Speiser JL; Karvellas CJ; Wolf BJ; Chung D; Koch DG; Durkalski VL
    Comput Methods Programs Biomed; 2019 Jul; 175():111-120. PubMed ID: 31104700
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Development of a cost-effective CVD prediction model using lifestyle factors. A cohort study in Pakistan.
    Naheeda P; Sharifullah K; Ullah SS; Azeem AM; Shahzad Y; Kinza W
    Afr Health Sci; 2020 Jun; 20(2):849-859. PubMed ID: 33163052
    [TBL] [Abstract][Full Text] [Related]  

  • 9. The prevalence and predictors of cardiovascular diseases in Kherameh cohort study: a population-based study on 10,663 people in southern Iran.
    Baeradeh N; Ghoddusi Johari M; Moftakhar L; Rezaeianzadeh R; Hosseini SV; Rezaianzadeh A
    BMC Cardiovasc Disord; 2022 May; 22(1):244. PubMed ID: 35643460
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Cardiovascular disease risk prediction using automated machine learning: A prospective study of 423,604 UK Biobank participants.
    Alaa AM; Bolton T; Di Angelantonio E; Rudd JHF; van der Schaar M
    PLoS One; 2019; 14(5):e0213653. PubMed ID: 31091238
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Detecting treatment-subgroup interactions in clustered data with generalized linear mixed-effects model trees.
    Fokkema M; Smits N; Zeileis A; Hothorn T; Kelderman H
    Behav Res Methods; 2018 Oct; 50(5):2016-2034. PubMed ID: 29071652
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Generalized linear mixed-model (GLMM) trees: A flexible decision-tree method for multilevel and longitudinal data.
    Fokkema M; Edbrooke-Childs J; Wolpert M
    Psychother Res; 2021 Mar; 31(3):313-325. PubMed ID: 32602811
    [No Abstract]   [Full Text] [Related]  

  • 13. Development of a Cardiovascular Disease Risk Prediction Model Using the Suita Study, a Population-Based Prospective Cohort Study in Japan.
    Nakai M; Watanabe M; Kokubo Y; Nishimura K; Higashiyama A; Takegami M; Nakao YM; Okamura T; Miyamoto Y
    J Atheroscler Thromb; 2020 Nov; 27(11):1160-1175. PubMed ID: 32023562
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Prediction of Cardiovascular Disease Mortality in a Middle Eastern Country: Performance of the Globorisk and Score Functions in Four Population-Based Cohort Studies of Iran.
    Fahimfar N; Fotouhi A; Mansournia MA; Malekzadeh R; Sarrafzadegan N; Azizi F; Mansourian M; Sepanlou SG; Emamian MH; Hadaegh F; Roohafza H; Hashemi H; Poustchi H; Pourshams A; Samavat T; Sharafkhah M; Talaei M; Van Klaveren D; Steyerberg EW; Khalili D
    Int J Health Policy Manag; 2022 Feb; 11(2):210-217. PubMed ID: 32668896
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Risk prediction models for mortality in patients with cardiovascular disease: The BioBank Japan project.
    Hata J; Nagai A; Hirata M; Kamatani Y; Tamakoshi A; Yamagata Z; Muto K; Matsuda K; Kubo M; Nakamura Y; ; Kiyohara Y; Ninomiya T
    J Epidemiol; 2017 Mar; 27(3S):S71-S76. PubMed ID: 28142037
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Association of triglyceride glucose index with cardiovascular events: insights from the Isfahan Cohort Study (ICS).
    Rafiee H; Mohammadifard N; Nouri F; Alavi Tabatabaei G; Najafian J; Sadeghi M; Boshtam M; Roohafza H; Haghighatdoost F; Hassannejad R; Sarrafzadegan N
    Eur J Med Res; 2024 Feb; 29(1):135. PubMed ID: 38368388
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Traditional Cardiovascular Risk Factors Strongly Underestimate the 5-Year Occurrence of Cardiovascular Morbidity and Mortality in Spinal Cord Injured Individuals.
    Barton TJ; Low DA; Bakker EA; Janssen T; de Groot S; van der Woude L; Thijssen DHJ
    Arch Phys Med Rehabil; 2021 Jan; 102(1):27-34. PubMed ID: 32861666
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Risk functions for prediction of cardiovascular disease in elderly Australians: the Dubbo Study.
    Simons LA; Simons J; Friedlander Y; McCallum J; Palaniappan L
    Med J Aust; 2003 Feb; 178(3):113-6. PubMed ID: 12558481
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Global cardiovascular mortality risk in the adult Polish population: prospective assessment of the cohorts studied in multicentre national WOBASZ and WOBASZ Senior studies.
    Piotrowski W; Waśkiewicz A; Cicha-Mikołajczyk A
    Kardiol Pol; 2016; 74(3):262-73. PubMed ID: 26365939
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Ideal Cardiovascular Health Metrics and Major Cardiovascular Events in Patients With Prediabetes and Diabetes.
    Wang T; Lu J; Su Q; Chen Y; Bi Y; Mu Y; Chen L; Hu R; Tang X; Yu X; Li M; Xu M; Xu Y; Zhao Z; Yan L; Qin G; Wan Q; Chen G; Dai M; Zhang D; Gao Z; Wang G; Shen F; Luo Z; Qin Y; Chen L; Huo Y; Li Q; Ye Z; Zhang Y; Liu C; Wang Y; Wu S; Yang T; Deng H; Li D; Lai S; Bloomgarden ZT; Shi L; Ning G; Zhao J; Wang W;
    JAMA Cardiol; 2019 Sep; 4(9):874-883. PubMed ID: 31365039
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.