271 related articles for article (PubMed ID: 35321760)
1. Multivariable prediction models for health care spending using machine learning: a protocol of a systematic review.
Huang AW; Haslberger M; Coulibaly N; Galárraga O; Oganisian A; Belbasis L; Panagiotou OA
Diagn Progn Res; 2022 Mar; 6(1):4. PubMed ID: 35321760
[TBL] [Abstract][Full Text] [Related]
2. Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence.
Collins GS; Dhiman P; Andaur Navarro CL; Ma J; Hooft L; Reitsma JB; Logullo P; Beam AL; Peng L; Van Calster B; van Smeden M; Riley RD; Moons KG
BMJ Open; 2021 Jul; 11(7):e048008. PubMed ID: 34244270
[TBL] [Abstract][Full Text] [Related]
3. Protocol for a systematic review on the methodological and reporting quality of prediction model studies using machine learning techniques.
Andaur Navarro CL; Damen JAAG; Takada T; Nijman SWJ; Dhiman P; Ma J; Collins GS; Bajpai R; Riley RD; Moons KG; Hooft L
BMJ Open; 2020 Nov; 10(11):e038832. PubMed ID: 33177137
[TBL] [Abstract][Full Text] [Related]
4. The future of Cochrane Neonatal.
Soll RF; Ovelman C; McGuire W
Early Hum Dev; 2020 Nov; 150():105191. PubMed ID: 33036834
[TBL] [Abstract][Full Text] [Related]
5. Machine learning models for diabetes management in acute care using electronic medical records: A systematic review.
Kamel Rahimi A; Canfell OJ; Chan W; Sly B; Pole JD; Sullivan C; Shrapnel S
Int J Med Inform; 2022 Apr; 162():104758. PubMed ID: 35398812
[TBL] [Abstract][Full Text] [Related]
6. Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic review.
Dhiman P; Ma J; Andaur Navarro CL; Speich B; Bullock G; Damen JAA; Hooft L; Kirtley S; Riley RD; Van Calster B; Moons KGM; Collins GS
BMC Med Res Methodol; 2022 Apr; 22(1):101. PubMed ID: 35395724
[TBL] [Abstract][Full Text] [Related]
7. Reporting and risk of bias of prediction models based on machine learning methods in preterm birth: A systematic review.
Yang Q; Fan X; Cao X; Hao W; Lu J; Wei J; Tian J; Yin M; Ge L
Acta Obstet Gynecol Scand; 2023 Jan; 102(1):7-14. PubMed ID: 36397723
[TBL] [Abstract][Full Text] [Related]
8. Machine learning models for predicting acute kidney injury: a systematic review and critical appraisal.
Vagliano I; Chesnaye NC; Leopold JH; Jager KJ; Abu-Hanna A; Schut MC
Clin Kidney J; 2022 Dec; 15(12):2266-2280. PubMed ID: 36381375
[TBL] [Abstract][Full Text] [Related]
9. Reporting and Methods in Developing Prognostic Prediction Models for Metabolic Syndrome: A Systematic Review and Critical Appraisal.
Zhang H; Shao J; Chen D; Zou P; Cui N; Tang L; Wang D; Ye Z
Diabetes Metab Syndr Obes; 2020; 13():4981-4992. PubMed ID: 33364802
[TBL] [Abstract][Full Text] [Related]
10. A systematic review of the quality of clinical prediction models in in vitro fertilisation.
Ratna MB; Bhattacharya S; Abdulrahim B; McLernon DJ
Hum Reprod; 2020 Jan; 35(1):100-116. PubMed ID: 31960915
[TBL] [Abstract][Full Text] [Related]
11. Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD): The TRIPOD Statement.
Collins GS; Reitsma JB; Altman DG; Moons KGM;
Eur Urol; 2015 Jun; 67(6):1142-1151. PubMed ID: 25572824
[TBL] [Abstract][Full Text] [Related]
12. Prognostic models for knee osteoarthritis: a protocol for systematic review, critical appraisal, and meta-analysis.
Zhong J; Si L; Zhang G; Huo J; Xing Y; Hu Y; Zhang H; Yao W
Syst Rev; 2021 May; 10(1):149. PubMed ID: 34006309
[TBL] [Abstract][Full Text] [Related]
13. Examining Bias and Reporting in Oral Health Prediction Modeling Studies.
Du M; Haag D; Song Y; Lynch J; Mittinty M
J Dent Res; 2020 Apr; 99(4):374-387. PubMed ID: 32028825
[TBL] [Abstract][Full Text] [Related]
14. Completeness of reporting of clinical prediction models developed using supervised machine learning: a systematic review.
Andaur Navarro CL; Damen JAA; Takada T; Nijman SWJ; Dhiman P; Ma J; Collins GS; Bajpai R; Riley RD; Moons KGM; Hooft L
BMC Med Res Methodol; 2022 Jan; 22(1):12. PubMed ID: 35026997
[TBL] [Abstract][Full Text] [Related]
15. Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement.
Collins GS; Reitsma JB; Altman DG; Moons KG
BMJ; 2015 Jan; 350():g7594. PubMed ID: 25569120
[TBL] [Abstract][Full Text] [Related]
16. Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement. The TRIPOD Group.
Collins GS; Reitsma JB; Altman DG; Moons KG;
Circulation; 2015 Jan; 131(2):211-9. PubMed ID: 25561516
[TBL] [Abstract][Full Text] [Related]
17. Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD Statement.
Collins GS; Reitsma JB; Altman DG; Moons KG
BMC Med; 2015 Jan; 13():1. PubMed ID: 25563062
[TBL] [Abstract][Full Text] [Related]
18. Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement.
Collins GS; Reitsma JB; Altman DG; Moons KG
BJOG; 2015 Feb; 122(3):434-43. PubMed ID: 25623578
[TBL] [Abstract][Full Text] [Related]
19. Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): the TRIPOD statement.
Collins GS; Reitsma JB; Altman DG; Moons KG
Ann Intern Med; 2015 Jan; 162(1):55-63. PubMed ID: 25560714
[TBL] [Abstract][Full Text] [Related]
20. Risk of bias in studies on prediction models developed using supervised machine learning techniques: systematic review.
Andaur Navarro CL; Damen JAA; Takada T; Nijman SWJ; Dhiman P; Ma J; Collins GS; Bajpai R; Riley RD; Moons KGM; Hooft L
BMJ; 2021 Oct; 375():n2281. PubMed ID: 34670780
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
