121 related articles for article (PubMed ID: 38513393)
1. Glass box machine learning for retrospective cohort studies using many patient records. The complex example of bleeding peptic ulcer.
Robson B; Baek OK
Comput Biol Med; 2024 May; 173():108085. PubMed ID: 38513393
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. Glass Box and Black Box Machine Learning Approaches to Exploit Compositional Descriptors of Molecules in Drug Discovery and Aid the Medicinal Chemist.
Robson B; Cooper R
ChemMedChem; 2024 Jun; ():e202400169. PubMed ID: 38837320
[TBL] [Abstract][Full Text] [Related]
5. Long-term prognosis in patients continuing taking antithrombotics after peptic ulcer bleeding.
Wang XX; Dong B; Hong B; Gong YQ; Wang W; Wang J; Zhou ZY; Jiang WJ
World J Gastroenterol; 2017 Jan; 23(4):723-729. PubMed ID: 28216980
[TBL] [Abstract][Full Text] [Related]
6. Machine learning model to predict recurrent ulcer bleeding in patients with history of idiopathic gastroduodenal ulcer bleeding.
Wong GL; Ma AJ; Deng H; Ching JY; Wong VW; Tse YK; Yip TC; Lau LH; Liu HH; Leung CM; Tsang SW; Chan CW; Lau JY; Yuen PC; Chan FK
Aliment Pharmacol Ther; 2019 Apr; 49(7):912-918. PubMed ID: 30761584
[TBL] [Abstract][Full Text] [Related]
7. Importance-aware personalized learning for early risk prediction using static and dynamic health data.
Tan Q; Ye M; Ma AJ; Yip TC; Wong GL; Yuen PC
J Am Med Inform Assoc; 2021 Mar; 28(4):713-726. PubMed ID: 33496786
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Peptic ulcer and gastrointestinal hemorrhage associated with nonsteroidal anti-inflammatory drug use in patients younger than 65 years. A large health maintenance organization cohort study.
Lanza LL; Walker AM; Bortnichak EA; Dreyer NA
Arch Intern Med; 1995 Jul; 155(13):1371-7. PubMed ID: 7794085
[TBL] [Abstract][Full Text] [Related]
10. Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes.
Woldaregay AZ; Årsand E; Walderhaug S; Albers D; Mamykina L; Botsis T; Hartvigsen G
Artif Intell Med; 2019 Jul; 98():109-134. PubMed ID: 31383477
[TBL] [Abstract][Full Text] [Related]
11. White learning methodology: A case study of cancer-related disease factors analysis in real-time PACS environment.
Li T; Fong S; Siu SWI; Yang XS; Liu LS; Mohammed S
Comput Methods Programs Biomed; 2020 Dec; 197():105724. PubMed ID: 32877817
[TBL] [Abstract][Full Text] [Related]
12. [Comparison between Endoscopic Therapy and Medical Therapy in Peptic Ulcer Patients with Adherent Clot: A Multicenter Prospective Observational Cohort Study].
Kim SH; Jung JT; Kwon JG; Kim EY; Lee DW; Jeon SW; Park KS; Lee SH; Park JB; Ha CY; Park YS;
Korean J Gastroenterol; 2015 Aug; 66(2):98-105. PubMed ID: 26289243
[TBL] [Abstract][Full Text] [Related]
13. Diabetes and 30-day mortality from peptic ulcer bleeding and perforation: a Danish population-based cohort study.
Thomsen RW; Riis A; Christensen S; Nørgaard M; Sørensen HT
Diabetes Care; 2006 Apr; 29(4):805-10. PubMed ID: 16567819
[TBL] [Abstract][Full Text] [Related]
14. The Price of Explainability in Machine Learning Models for 100-Day Readmission Prediction in Heart Failure: Retrospective, Comparative, Machine Learning Study.
Soliman A; Agvall B; Etminani K; Hamed O; Lingman M
J Med Internet Res; 2023 Oct; 25():e46934. PubMed ID: 37889530
[TBL] [Abstract][Full Text] [Related]
15. Comparative Effectiveness of Machine Learning Approaches for Predicting Gastrointestinal Bleeds in Patients Receiving Antithrombotic Treatment.
Herrin J; Abraham NS; Yao X; Noseworthy PA; Inselman J; Shah ND; Ngufor C
JAMA Netw Open; 2021 May; 4(5):e2110703. PubMed ID: 34019087
[TBL] [Abstract][Full Text] [Related]
16. The predictive effect of different machine learning algorithms for pressure injuries in hospitalized patients: A network meta-analyses.
Qu C; Luo W; Zeng Z; Lin X; Gong X; Wang X; Zhang Y; Li Y
Heliyon; 2022 Nov; 8(11):e11361. PubMed ID: 36387440
[TBL] [Abstract][Full Text] [Related]
17. Is the AIMS65 score useful in predicting outcomes in peptic ulcer bleeding?
Jung SH; Oh JH; Lee HY; Jeong JW; Go SE; You CR; Jeon EJ; Choi SW
World J Gastroenterol; 2014 Feb; 20(7):1846-51. PubMed ID: 24587662
[TBL] [Abstract][Full Text] [Related]
18. Supervised machine learning-based prediction for in-hospital pressure injury development using electronic health records: A retrospective observational cohort study in a university hospital in Japan.
Nakagami G; Yokota S; Kitamura A; Takahashi T; Morita K; Noguchi H; Ohe K; Sanada H
Int J Nurs Stud; 2021 Jul; 119():103932. PubMed ID: 33975074
[TBL] [Abstract][Full Text] [Related]
19. Factors influencing re-bleeding after trans-arterial embolization for endoscopically unmanageable peptic ulcer bleeding.
Yu JH; Lee JW; Seo JY; Park JS; Park SJ; Kim SJ; Jang EJ; Park SW; Yeon JW
Scand J Gastroenterol; 2024; 59(1):7-15. PubMed ID: 37671790
[TBL] [Abstract][Full Text] [Related]
20. Clinical outcomes of marginal ulcer bleeding compared with those of peptic ulcer bleeding.
Seo JY; Noh JH; Ahn JY; Cho SY; Oh SP; Cha B; Na HK; Lee JH; Jung KW; Kim DH; Choi KD; Song HJ; Lee GH; Jung HY
Surg Endosc; 2023 May; 37(5):3852-3860. PubMed ID: 36707418
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]