249 related articles for article (PubMed ID: 37164379)
1. Development and internal-external validation of statistical and machine learning models for breast cancer prognostication: cohort study.
Clift AK; Dodwell D; Lord S; Petrou S; Brady M; Collins GS; Hippisley-Cox J
BMJ; 2023 May; 381():e073800. PubMed ID: 37164379
[TBL] [Abstract][Full Text] [Related]
2. Predicting 10-year breast cancer mortality risk in the general female population in England: a model development and validation study.
Clift AK; Collins GS; Lord S; Petrou S; Dodwell D; Brady M; Hippisley-Cox J
Lancet Digit Health; 2023 Sep; 5(9):e571-e581. PubMed ID: 37625895
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Development and validation of risk prediction equations to estimate survival in patients with colorectal cancer: cohort study.
Hippisley-Cox J; Coupland C
BMJ; 2017 Jun; 357():j2497. PubMed ID: 28620089
[No Abstract] [Full Text] [Related]
5. ESKD Risk Prediction Model in a Multicenter Chronic Kidney Disease Cohort in China: A Derivation, Validation, and Comparison Study.
Hui M; Ma J; Yang H; Gao B; Wang F; Wang J; Lv J; Zhang L; Yang L; Zhao M
J Clin Med; 2023 Feb; 12(4):. PubMed ID: 36836039
[TBL] [Abstract][Full Text] [Related]
6. Living risk prediction algorithm (QCOVID) for risk of hospital admission and mortality from coronavirus 19 in adults: national derivation and validation cohort study.
Clift AK; Coupland CAC; Keogh RH; Diaz-Ordaz K; Williamson E; Harrison EM; Hayward A; Hemingway H; Horby P; Mehta N; Benger J; Khunti K; Spiegelhalter D; Sheikh A; Valabhji J; Lyons RA; Robson J; Semple MG; Kee F; Johnson P; Jebb S; Williams T; Hippisley-Cox J
BMJ; 2020 Oct; 371():m3731. PubMed ID: 33082154
[TBL] [Abstract][Full Text] [Related]
7. Development and validation of QDiabetes-2018 risk prediction algorithm to estimate future risk of type 2 diabetes: cohort study.
Hippisley-Cox J; Coupland C
BMJ; 2017 Nov; 359():j5019. PubMed ID: 29158232
[No Abstract] [Full Text] [Related]
8. Development and validation of clinical prediction models for breast cancer incidence and mortality: a protocol for a dual cohort study.
Clift AK; Hippisley-Cox J; Dodwell D; Lord S; Brady M; Petrou S; Collins GS
BMJ Open; 2022 Mar; 12(3):e050828. PubMed ID: 35351695
[TBL] [Abstract][Full Text] [Related]
9. Consistency of variety of machine learning and statistical models in predicting clinical risks of individual patients: longitudinal cohort study using cardiovascular disease as exemplar.
Li Y; Sperrin M; Ashcroft DM; van Staa TP
BMJ; 2020 Nov; 371():m3919. PubMed ID: 33148619
[TBL] [Abstract][Full Text] [Related]
10. Development and validation of QMortality risk prediction algorithm to estimate short term risk of death and assess frailty: cohort study.
Hippisley-Cox J; Coupland C
BMJ; 2017 Sep; 358():j4208. PubMed ID: 28931509
[No Abstract] [Full Text] [Related]
11. 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]
12. Use of Machine Learning Models to Predict Death After Acute Myocardial Infarction.
Khera R; Haimovich J; Hurley NC; McNamara R; Spertus JA; Desai N; Rumsfeld JS; Masoudi FA; Huang C; Normand SL; Mortazavi BJ; Krumholz HM
JAMA Cardiol; 2021 Jun; 6(6):633-641. PubMed ID: 33688915
[TBL] [Abstract][Full Text] [Related]
13. Machine Learning Did Not Outperform Conventional Competing Risk Modeling to Predict Revision Arthroplasty.
Oosterhoff JHF; de Hond AAH; Peters RM; van Steenbergen LN; Sorel JC; Zijlstra WP; Poolman RW; Ring D; Jutte PC; Kerkhoffs GMMJ; Putter H; Steyerberg EW; Doornberg JN;
Clin Orthop Relat Res; 2024 Mar; ():. PubMed ID: 38470976
[TBL] [Abstract][Full Text] [Related]
14. Prognostic models for newly-diagnosed chronic lymphocytic leukaemia in adults: a systematic review and meta-analysis.
Kreuzberger N; Damen JA; Trivella M; Estcourt LJ; Aldin A; Umlauff L; Vazquez-Montes MD; Wolff R; Moons KG; Monsef I; Foroutan F; Kreuzer KA; Skoetz N
Cochrane Database Syst Rev; 2020 Jul; 7(7):CD012022. PubMed ID: 32735048
[TBL] [Abstract][Full Text] [Related]
15. Comparison of State-of-the-Art Neural Network Survival Models with the Pooled Cohort Equations for Cardiovascular Disease Risk Prediction.
Deng Y; Liu L; Jiang H; Peng Y; Wei Y; Zhou Z; Zhong Y; Zhao Y; Yang X; Yu J; Lu Z; Kho A; Ning H; Allen NB; Wilkins JT; Liu K; Lloyd-Jones DM; Zhao L
BMC Med Res Methodol; 2023 Jan; 23(1):22. PubMed ID: 36694118
[TBL] [Abstract][Full Text] [Related]
16. Prediction of long-term mortality by using machine learning models in Chinese patients with connective tissue disease-associated interstitial lung disease.
Sun D; Wang Y; Liu Q; Wang T; Li P; Jiang T; Dai L; Jia L; Zhao W; Cheng Z
Respir Res; 2022 Jan; 23(1):4. PubMed ID: 34996461
[TBL] [Abstract][Full Text] [Related]
17. Machine learning approaches for prediction of early death among lung cancer patients with bone metastases using routine clinical characteristics: An analysis of 19,887 patients.
Cui Y; Shi X; Wang S; Qin Y; Wang B; Che X; Lei M
Front Public Health; 2022; 10():1019168. PubMed ID: 36276398
[TBL] [Abstract][Full Text] [Related]
18. Development and validation of QRISK3 risk prediction algorithms to estimate future risk of cardiovascular disease: prospective cohort study.
Hippisley-Cox J; Coupland C; Brindle P
BMJ; 2017 May; 357():j2099. PubMed ID: 28536104
[No Abstract] [Full Text] [Related]
19. International Validation of the SORG Machine-learning Algorithm for Predicting the Survival of Patients with Extremity Metastases Undergoing Surgical Treatment.
Tseng TE; Lee CC; Yen HK; Groot OQ; Hou CH; Lin SY; Bongers MER; Hu MH; Karhade AV; Ko JC; Lai YH; Yang JJ; Verlaan JJ; Yang RS; Schwab JH; Lin WH
Clin Orthop Relat Res; 2022 Feb; 480(2):367-378. PubMed ID: 34491920
[TBL] [Abstract][Full Text] [Related]
20. Statistical models versus machine learning for competing risks: development and validation of prognostic models.
Kantidakis G; Putter H; Litière S; Fiocco M
BMC Med Res Methodol; 2023 Feb; 23(1):51. PubMed ID: 36829145
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]