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.
147 related articles for article (PubMed ID: 37866943)
1. [Construction of a Risk Prediction Model for Lung Cancer Based on Lifestyle Behaviors in the UK Biobank Large-Scale Population Cohort]. Chen R; Wang J; Wang S; Tang S; Suo C Sichuan Da Xue Xue Bao Yi Xue Ban; 2023 Sep; 54(5):892-898. PubMed ID: 37866943 [TBL] [Abstract][Full Text] [Related]
2. Predicting the future risk of lung cancer: development, and internal and external validation of the CanPredict (lung) model in 19·67 million people and evaluation of model performance against seven other risk prediction models. Liao W; Coupland CAC; Burchardt J; Baldwin DR; ; Gleeson FV; Hippisley-Cox J Lancet Respir Med; 2023 Aug; 11(8):685-697. PubMed ID: 37030308 [TBL] [Abstract][Full Text] [Related]
3. 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]
4. OWL: an optimized and independently validated machine learning prediction model for lung cancer screening based on the UK Biobank, PLCO, and NLST populations. Pan Z; Zhang R; Shen S; Lin Y; Zhang L; Wang X; Ye Q; Wang X; Chen J; Zhao Y; Christiani DC; Li Y; Chen F; Wei Y EBioMedicine; 2023 Feb; 88():104443. PubMed ID: 36701900 [TBL] [Abstract][Full Text] [Related]
5. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas. Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557 [TBL] [Abstract][Full Text] [Related]
6. Predicting 1-, 3-, 5-, and 8-year all-cause mortality in a community-dwelling older adult cohort: relevance for predictive, preventive, and personalized medicine. Chen Y; Deng X; Lin D; Yang P; Wu S; Wang X; Zhou H; Chen X; Wang X; Wu W; Ke K; Huang W; Tan X EPMA J; 2023 Dec; 14(4):713-726. PubMed ID: 38094581 [TBL] [Abstract][Full Text] [Related]
7. Risk prediction models for selection of lung cancer screening candidates: A retrospective validation study. Ten Haaf K; Jeon J; Tammemägi MC; Han SS; Kong CY; Plevritis SK; Feuer EJ; de Koning HJ; Steyerberg EW; Meza R PLoS Med; 2017 Apr; 14(4):e1002277. PubMed ID: 28376113 [TBL] [Abstract][Full Text] [Related]
8. Associations of Combined Genetic and Lifestyle Risks With Incident Cardiovascular Disease and Diabetes in the UK Biobank Study. Said MA; Verweij N; van der Harst P JAMA Cardiol; 2018 Aug; 3(8):693-702. PubMed ID: 29955826 [TBL] [Abstract][Full Text] [Related]
9. [Establishment and verification of LIPS score combined with APACHE II score and oxygenation index to predict the occurrence model of ARDS]. Zhao F; Shen Z; Yang C; Cong Z; Zhang H; Zhu X Zhonghua Wei Zhong Bing Ji Jiu Yi Xue; 2022 Oct; 34(10):1048-1054. PubMed ID: 36473562 [TBL] [Abstract][Full Text] [Related]
10. Fracture risk prediction in postmenopausal women with traditional and machine learning models in a nationwide, prospective cohort study in Switzerland with validation in the UK Biobank. Lehmann O; Mineeva O; Veshchezerova D; Häuselmann H; Guyer L; Reichenbach S; Lehmann T; Demler O; Everts-Graber J; J Bone Miner Res; 2024 Aug; 39(8):1103-1112. PubMed ID: 38836468 [TBL] [Abstract][Full Text] [Related]
11. Development and Validation of a Risk Prediction Model for Esophageal Squamous Cell Carcinoma Using Cohort Studies. Wang QL; Ness-Jensen E; Santoni G; Xie SH; Lagergren J Am J Gastroenterol; 2021 Apr; 116(4):683-691. PubMed ID: 33982937 [TBL] [Abstract][Full Text] [Related]
12. Development and validation of a prediction model for early screening of people at high risk for colorectal cancer. Xu LL; Lin Y; Han LY; Wang Y; Li JJ; Dai XY World J Gastroenterol; 2024 Feb; 30(5):450-461. PubMed ID: 38414586 [TBL] [Abstract][Full Text] [Related]
13. Uncovering Clinical Risk Factors and Predicting Severe COVID-19 Cases Using UK Biobank Data: Machine Learning Approach. Wong KC; Xiang Y; Yin L; So HC JMIR Public Health Surveill; 2021 Sep; 7(9):e29544. PubMed ID: 34591027 [TBL] [Abstract][Full Text] [Related]
14. Development of a risk prediction model for lung cancer: The Japan Public Health Center-based Prospective Study. Charvat H; Sasazuki S; Shimazu T; Budhathoki S; Inoue M; Iwasaki M; Sawada N; Yamaji T; Tsugane S; Cancer Sci; 2018 Mar; 109(3):854-862. PubMed ID: 29345859 [TBL] [Abstract][Full Text] [Related]
15. Establishment and validation of a nomogram for progression to diabetic foot ulcers in elderly diabetic patients. Shao Z; Wang Z; Bi S; Zhang J Front Endocrinol (Lausanne); 2023; 14():1107830. PubMed ID: 37082126 [TBL] [Abstract][Full Text] [Related]
16. Constructing a prognostic model for colorectal cancer with synchronous liver metastases after preoperative chemotherapy: a study based on SEER and an external validation cohort. Ding Y; Han X; Zhao S; Wang S; Guo J; Leng C; Li X; Wang K; Qiu W; Qi W Clin Transl Oncol; 2024 Dec; 26(12):3169-3190. PubMed ID: 38834909 [TBL] [Abstract][Full Text] [Related]
17. Lung cancer risk prediction: Prostate, Lung, Colorectal And Ovarian Cancer Screening Trial models and validation. Tammemagi CM; Pinsky PF; Caporaso NE; Kvale PA; Hocking WG; Church TR; Riley TL; Commins J; Oken MM; Berg CD; Prorok PC J Natl Cancer Inst; 2011 Jul; 103(13):1058-68. PubMed ID: 21606442 [TBL] [Abstract][Full Text] [Related]
18. Construction of a prognostic model for extensive-stage small cell lung cancer patients undergoing immune therapy in northernmost China and prediction of treatment efficacy based on response status at different time points. Dang J; Xu G; Guo G; Zhang H; Shang L J Cancer Res Clin Oncol; 2024 May; 150(5):255. PubMed ID: 38750370 [TBL] [Abstract][Full Text] [Related]
19. Prediction of Suicidal Behaviors in the Middle-aged Population: Machine Learning Analyses of UK Biobank. Wang J; Qiu J; Zhu T; Zeng Y; Yang H; Shang Y; Yin J; Sun Y; Qu Y; Valdimarsdóttir UA; Song H JMIR Public Health Surveill; 2023 Feb; 9():e43419. PubMed ID: 36805366 [TBL] [Abstract][Full Text] [Related]
20. Development and visualization of a risk prediction model for metabolic syndrome: a longitudinal cohort study based on health check-up data in China. Liu W; Tang X; Cui T; Zhao H; Song G Front Nutr; 2023; 10():1286654. PubMed ID: 38075230 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]