132 related articles for article (PubMed ID: 28941187)
1. Evaluation of a prediction model for colorectal cancer: retrospective analysis of 2.5 million patient records.
Birks J; Bankhead C; Holt TA; Fuller A; Patnick J
Cancer Med; 2017 Oct; 6(10):2453-2460. PubMed ID: 28941187
[TBL] [Abstract][Full Text] [Related]
2. Early Colorectal Cancer Detected by Machine Learning Model Using Gender, Age, and Complete Blood Count Data.
Hornbrook MC; Goshen R; Choman E; O'Keeffe-Rosetti M; Kinar Y; Liles EG; Rust KC
Dig Dis Sci; 2017 Oct; 62(10):2719-2727. PubMed ID: 28836087
[TBL] [Abstract][Full Text] [Related]
3. Development and validation of a predictive model for detection of colorectal cancer in primary care by analysis of complete blood counts: a binational retrospective study.
Kinar Y; Kalkstein N; Akiva P; Levin B; Half EE; Goldshtein I; Chodick G; Shalev V
J Am Med Inform Assoc; 2016 Sep; 23(5):879-90. PubMed ID: 26911814
[TBL] [Abstract][Full Text] [Related]
4. Colorectal Cancer Detected by Machine Learning Models Using Conventional Laboratory Test Data.
Li H; Lin J; Xiao Y; Zheng W; Zhao L; Yang X; Zhong M; Liu H
Technol Cancer Res Treat; 2021; 20():15330338211058352. PubMed ID: 34806496
[No Abstract] [Full Text] [Related]
5. Validation of an Algorithm to Identify Patients at Risk for Colorectal Cancer Based on Laboratory Test and Demographic Data in Diverse, Community-Based Population.
Schneider JL; Layefsky E; Udaltsova N; Levin TR; Corley DA
Clin Gastroenterol Hepatol; 2020 Nov; 18(12):2734-2741.e6. PubMed ID: 32360824
[TBL] [Abstract][Full Text] [Related]
6. Performance of a Machine Learning Algorithm Using Electronic Health Record Data to Identify and Estimate Survival in a Longitudinal Cohort of Patients With Lung Cancer.
Yuan Q; Cai T; Hong C; Du M; Johnson BE; Lanuti M; Cai T; Christiani DC
JAMA Netw Open; 2021 Jul; 4(7):e2114723. PubMed ID: 34232304
[TBL] [Abstract][Full Text] [Related]
7. Artificial intelligence based personalized predictive survival among colorectal cancer patients.
Susič D; Syed-Abdul S; Dovgan E; Jonnagaddala J; Gradišek A
Comput Methods Programs Biomed; 2023 Apr; 231():107435. PubMed ID: 36842345
[TBL] [Abstract][Full Text] [Related]
8. Development and Validation of an Electronic Health Record-Based Machine Learning Model to Estimate Delirium Risk in Newly Hospitalized Patients Without Known Cognitive Impairment.
Wong A; Young AT; Liang AS; Gonzales R; Douglas VC; Hadley D
JAMA Netw Open; 2018 Aug; 1(4):e181018. PubMed ID: 30646095
[TBL] [Abstract][Full Text] [Related]
9. Prediction of myopia development among Chinese school-aged children using refraction data from electronic medical records: A retrospective, multicentre machine learning study.
Lin H; Long E; Ding X; Diao H; Chen Z; Liu R; Huang J; Cai J; Xu S; Zhang X; Wang D; Chen K; Yu T; Wu D; Zhao X; Liu Z; Wu X; Jiang Y; Yang X; Cui D; Liu W; Zheng Y; Luo L; Wang H; Chan CC; Morgan IG; He M; Liu Y
PLoS Med; 2018 Nov; 15(11):e1002674. PubMed ID: 30399150
[TBL] [Abstract][Full Text] [Related]
10. Machine Learning Model for Risk Prediction of Community-Acquired Acute Kidney Injury Hospitalization From Electronic Health Records: Development and Validation Study.
Hsu CN; Liu CL; Tain YL; Kuo CY; Lin YC
J Med Internet Res; 2020 Aug; 22(8):e16903. PubMed ID: 32749223
[TBL] [Abstract][Full Text] [Related]
11. A plasma microRNA panel for detection of colorectal adenomas: a step toward more precise screening for colorectal cancer.
Kanaan Z; Roberts H; Eichenberger MR; Billeter A; Ocheretner G; Pan J; Rai SN; Jorden J; Williford A; Galandiuk S
Ann Surg; 2013 Sep; 258(3):400-8. PubMed ID: 24022433
[TBL] [Abstract][Full Text] [Related]
12. Prospective and External Evaluation of a Machine Learning Model to Predict In-Hospital Mortality of Adults at Time of Admission.
Brajer N; Cozzi B; Gao M; Nichols M; Revoir M; Balu S; Futoma J; Bae J; Setji N; Hernandez A; Sendak M
JAMA Netw Open; 2020 Feb; 3(2):e1920733. PubMed ID: 32031645
[TBL] [Abstract][Full Text] [Related]
13. Identifying patients with suspected colorectal cancer in primary care: derivation and validation of an algorithm.
Hippisley-Cox J; Coupland C
Br J Gen Pract; 2012 Jan; 62(594):e29-37. PubMed ID: 22520670
[TBL] [Abstract][Full Text] [Related]
14. Clinical relevance of thrombocytosis in primary care: a prospective cohort study of cancer incidence using English electronic medical records and cancer registry data.
Bailey SE; Ukoumunne OC; Shephard EA; Hamilton W
Br J Gen Pract; 2017 Jun; 67(659):e405-e413. PubMed ID: 28533199
[TBL] [Abstract][Full Text] [Related]
15. A Highly Predictive Model for Diagnosis of Colorectal Neoplasms Using Plasma MicroRNA: Improving Specificity and Sensitivity.
Carter JV; Roberts HL; Pan J; Rice JD; Burton JF; Galbraith NJ; Eichenberger MR; Jorden J; Deveaux P; Farmer R; Williford A; Kanaan Z; Rai SN; Galandiuk S
Ann Surg; 2016 Oct; 264(4):575-84. PubMed ID: 27471839
[TBL] [Abstract][Full Text] [Related]
16. Predicting post-stroke pneumonia using deep neural network approaches.
Ge Y; Wang Q; Wang L; Wu H; Peng C; Wang J; Xu Y; Xiong G; Zhang Y; Yi Y
Int J Med Inform; 2019 Dec; 132():103986. PubMed ID: 31629312
[TBL] [Abstract][Full Text] [Related]
17. Impact of Age on the Risk of Advanced Colorectal Neoplasia in a Young Population: An Analysis Using the Predicted Probability Model.
Jung YS; Park CH; Kim NH; Lee MY; Park DI
Dig Dis Sci; 2017 Sep; 62(9):2518-2525. PubMed ID: 28733868
[TBL] [Abstract][Full Text] [Related]
18. The value of red blood cell distribution width in diagnosis of patients with colorectal cancer.
Yang D; Quan W; Wu J; Ji X; Dai Y; Xiao W; Chew H; Sun Z; Li D
Clin Chim Acta; 2018 Apr; 479():98-102. PubMed ID: 29407693
[TBL] [Abstract][Full Text] [Related]
19. Deep Learning Localizes and Identifies Polyps in Real Time With 96% Accuracy in Screening Colonoscopy.
Urban G; Tripathi P; Alkayali T; Mittal M; Jalali F; Karnes W; Baldi P
Gastroenterology; 2018 Oct; 155(4):1069-1078.e8. PubMed ID: 29928897
[TBL] [Abstract][Full Text] [Related]
20. Increased risk of colorectal neoplasia among family members of patients with colorectal cancer: a population-based study in Utah.
Samadder NJ; Curtin K; Tuohy TM; Rowe KG; Mineau GP; Smith KR; Pimentel R; Wong J; Boucher K; Burt RW
Gastroenterology; 2014 Oct; 147(4):814-821.e5; quiz e15-6. PubMed ID: 25042087
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]