131 related articles for article (PubMed ID: 28941187)
21. Options for screening for colorectal cancer in the Royal Air Force: a cost-effectiveness evaluation.
Daniels K; McKee M
J R Army Med Corps; 1995 Oct; 141(3):142-50. PubMed ID: 8568748
[TBL] [Abstract][Full Text] [Related]
22. Machine learning techniques for personalized breast cancer risk prediction: comparison with the BCRAT and BOADICEA models.
Ming C; Viassolo V; Probst-Hensch N; Chappuis PO; Dinov ID; Katapodi MC
Breast Cancer Res; 2019 Jun; 21(1):75. PubMed ID: 31221197
[TBL] [Abstract][Full Text] [Related]
23. Quantitative immunochemical fecal occult blood testing for colorectal adenoma detection: evaluation in the target population of screening and comparison with qualitative tests.
Haug U; Hundt S; Brenner H
Am J Gastroenterol; 2010 Mar; 105(3):682-90. PubMed ID: 19953091
[TBL] [Abstract][Full Text] [Related]
24. Colorectal cancer ascertainment through cancer registries, hospital episode statistics, and self-reporting compared to confirmation by clinician: A cohort study nested within the UK Collaborative Trial of Ovarian Cancer Screening (UKCTOCS).
Thomas DS; Gentry-Maharaj A; Ryan A; Fourkala EO; Apostolidou S; Burnell M; Alderton W; Barnes J; Timms JF; Menon U
Cancer Epidemiol; 2019 Feb; 58():167-174. PubMed ID: 30616086
[TBL] [Abstract][Full Text] [Related]
25. Development and validation of a clinical score for predicting risk of adenoma at screening colonoscopy.
Shaukat A; Church TR; Shanley R; Kauff ND; O'Brien MJ; Mills GM; Jordan PA; Allen JA; Kim A; Feld AD; Zauber AG; Winawer SJ
Cancer Epidemiol Biomarkers Prev; 2015 Jun; 24(6):913-20. PubMed ID: 25800242
[TBL] [Abstract][Full Text] [Related]
26. Real-time data analysis using a machine learning model significantly improves prediction of successful vaginal deliveries.
Guedalia J; Lipschuetz M; Novoselsky-Persky M; Cohen SM; Rottenstreich A; Levin G; Yagel S; Unger R; Sompolinsky Y
Am J Obstet Gynecol; 2020 Sep; 223(3):437.e1-437.e15. PubMed ID: 32434000
[TBL] [Abstract][Full Text] [Related]
27. Improving diagnostic recognition of primary hyperparathyroidism with machine learning.
Somnay YR; Craven M; McCoy KL; Carty SE; Wang TS; Greenberg CC; Schneider DF
Surgery; 2017 Apr; 161(4):1113-1121. PubMed ID: 27989606
[TBL] [Abstract][Full Text] [Related]
28. Risk of developing colorectal cancer following a negative colonoscopy examination: evidence for a 10-year interval between colonoscopies.
Singh H; Turner D; Xue L; Targownik LE; Bernstein CN
JAMA; 2006 May; 295(20):2366-73. PubMed ID: 16720822
[TBL] [Abstract][Full Text] [Related]
29. Multicentre validation of a sepsis prediction algorithm using only vital sign data in the emergency department, general ward and ICU.
Mao Q; Jay M; Hoffman JL; Calvert J; Barton C; Shimabukuro D; Shieh L; Chettipally U; Fletcher G; Kerem Y; Zhou Y; Das R
BMJ Open; 2018 Jan; 8(1):e017833. PubMed ID: 29374661
[TBL] [Abstract][Full Text] [Related]
30. Metachronous cancer development in patients with sporadic colorectal adenomas-multivariate risk model with independent and combined value of hTERT and survivin.
Søreide K; Gudlaugsson E; Skaland I; Janssen EA; Van Diermen B; Körner H; Baak JP
Int J Colorectal Dis; 2008 Apr; 23(4):389-400. PubMed ID: 18189140
[TBL] [Abstract][Full Text] [Related]
31. Predicting advanced neoplasia at colonoscopy in a diverse population with the National Cancer Institute colorectal cancer risk-assessment tool.
Ladabaum U; Patel A; Mannalithara A; Sundaram V; Mitani A; Desai M
Cancer; 2016 Sep; 122(17):2663-70. PubMed ID: 27219715
[TBL] [Abstract][Full Text] [Related]
32. Does the SORG Algorithm Predict 5-year Survival in Patients with Chondrosarcoma? An External Validation.
Bongers MER; Thio QCBS; Karhade AV; Stor ML; Raskin KA; Lozano Calderon SA; DeLaney TF; Ferrone ML; Schwab JH
Clin Orthop Relat Res; 2019 Oct; 477(10):2296-2303. PubMed ID: 31107338
[TBL] [Abstract][Full Text] [Related]
33. An electronic family health history tool to identify and manage patients at increased risk for colorectal cancer: protocol for a randomized controlled trial.
Goldstein KM; Fisher DA; Wu RR; Orlando LA; Coffman CJ; Grubber JM; Rakhra-Burris T; Wang V; Scheuner MT; Sperber N; Datta SK; Nelson RE; Strawbridge E; Provenzale D; Hauser ER; Voils CI
Trials; 2019 Oct; 20(1):576. PubMed ID: 31590688
[TBL] [Abstract][Full Text] [Related]
34. A validated metabolomic signature for colorectal cancer: exploration of the clinical value of metabolomics.
Farshidfar F; Weljie AM; Kopciuk KA; Hilsden R; McGregor SE; Buie WD; MacLean A; Vogel HJ; Bathe OF
Br J Cancer; 2016 Sep; 115(7):848-57. PubMed ID: 27560555
[TBL] [Abstract][Full Text] [Related]
35. Development of Deep Learning Algorithm for Detection of Colorectal Cancer in EHR Data.
Wang YH; Nguyen PA; Islam MM; Li YC; Yang HC
Stud Health Technol Inform; 2019 Aug; 264():438-441. PubMed ID: 31437961
[TBL] [Abstract][Full Text] [Related]
36. Multiplex quantitation of 270 plasma protein markers to identify a signature for early detection of colorectal cancer.
Bhardwaj M; Weigl K; Tikk K; Holland-Letz T; Schrotz-King P; Borchers CH; Brenner H
Eur J Cancer; 2020 Mar; 127():30-40. PubMed ID: 31972396
[TBL] [Abstract][Full Text] [Related]
37. The use of electronic healthcare records for colorectal cancer screening referral decisions and risk prediction model development.
Cooper JA; Ryan R; Parsons N; Stinton C; Marshall T; Taylor-Phillips S
BMC Gastroenterol; 2020 Mar; 20(1):78. PubMed ID: 32213167
[TBL] [Abstract][Full Text] [Related]
38. Faecal immunochemical testing for adults with symptoms of colorectal cancer attending English primary care: a retrospective cohort study of 14 487 consecutive test requests.
Nicholson BD; James T; Paddon M; Justice S; Oke JL; East JE; Shine B
Aliment Pharmacol Ther; 2020 Sep; 52(6):1031-1041. PubMed ID: 32677733
[TBL] [Abstract][Full Text] [Related]
39. Plasma MicroRNA Signature Validation for Early Detection of Colorectal Cancer.
Herreros-Villanueva M; Duran-Sanchon S; Martín AC; Pérez-Palacios R; Vila-Navarro E; Marcuello M; Diaz-Centeno M; Cubiella J; Diez MS; Bujanda L; Lanas A; Jover R; Hernández V; Quintero E; José Lozano J; García-Cougil M; Martínez-Arranz I; Castells A; Gironella M; Arroyo R
Clin Transl Gastroenterol; 2019 Jan; 10(1):e00003. PubMed ID: 30702491
[TBL] [Abstract][Full Text] [Related]
40. Risk Prediction Models for Colorectal Cancer: A Systematic Review.
Usher-Smith JA; Walter FM; Emery JD; Win AK; Griffin SJ
Cancer Prev Res (Phila); 2016 Jan; 9(1):13-26. PubMed ID: 26464100
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
