104 related articles for article (PubMed ID: 34891686)
1. Training with Small Medical Data: Robust Bayesian Neural Networks for Colon Cancer Overall Survival Prediction.
Hsu TC; Lin C
Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():2030-2033. PubMed ID: 34891686
[TBL] [Abstract][Full Text] [Related]
2. Integrating ensemble systems biology feature selection and bimodal deep neural network for breast cancer prognosis prediction.
Cheng LH; Hsu TC; Lin C
Sci Rep; 2021 Jul; 11(1):14914. PubMed ID: 34290286
[TBL] [Abstract][Full Text] [Related]
3. A comparative study for glioma classification using deep convolutional neural networks.
Özcan H; Emiroğlu BG; Sabuncuoğlu H; Özdoğan S; Soyer A; Saygı T
Math Biosci Eng; 2021 Jan; 18(2):1550-1572. PubMed ID: 33757198
[TBL] [Abstract][Full Text] [Related]
4. Coronary artery bypass risk prediction using neural networks.
Lippmann RP; Shahian DM
Ann Thorac Surg; 1997 Jun; 63(6):1635-43. PubMed ID: 9205161
[TBL] [Abstract][Full Text] [Related]
5. Machine learning for improved pathological staging of prostate cancer: a performance comparison on a range of classifiers.
Regnier-Coudert O; McCall J; Lothian R; Lam T; McClinton S; N'dow J
Artif Intell Med; 2012 May; 55(1):25-35. PubMed ID: 22206941
[TBL] [Abstract][Full Text] [Related]
6. Predicting the Survival of Gastric Cancer Patients Using Artificial and Bayesian Neural Networks.
Korhani Kangi A; Bahrampour A
Asian Pac J Cancer Prev; 2018 Feb; 19(2):487-490. PubMed ID: 29480983
[TBL] [Abstract][Full Text] [Related]
7. Development of a Bayesian Belief Network Model for personalized prognostic risk assessment in colon carcinomatosis.
Stojadinovic A; Nissan A; Eberhardt J; Chua TC; Pelz JO; Esquivel J
Am Surg; 2011 Feb; 77(2):221-30. PubMed ID: 21337884
[TBL] [Abstract][Full Text] [Related]
8. Survivability prediction of colon cancer patients using neural networks.
Al-Bahrani R; Agrawal A; Choudhary A
Health Informatics J; 2019 Sep; 25(3):878-891. PubMed ID: 28927314
[TBL] [Abstract][Full Text] [Related]
9. Application of multivariate probabilistic (Bayesian) networks to substance use disorder risk stratification and cost estimation.
Weinstein L; Radano TA; Jack T; Kalina P; Eberhardt JS
Perspect Health Inf Manag; 2009 Sep; 6(Fall):1b. PubMed ID: 20169014
[TBL] [Abstract][Full Text] [Related]
10. Assessing a Bayesian risk prediction model in a high-risk breast cancer population.
Chun J; Schnabel F; Ogunyemi O
AMIA Annu Symp Proc; 2007 Oct; ():913. PubMed ID: 18694013
[TBL] [Abstract][Full Text] [Related]
11. Bayesian parametric models for survival prediction in medical applications.
Paolucci I; Lin YM; Albuquerque Marques Silva J; Brock KK; Odisio BC
BMC Med Res Methodol; 2023 Oct; 23(1):250. PubMed ID: 37884857
[TBL] [Abstract][Full Text] [Related]
12. Assessing the utility of deep neural networks in predicting postoperative surgical complications: a retrospective study.
Bonde A; Varadarajan KM; Bonde N; Troelsen A; Muratoglu OK; Malchau H; Yang AD; Alam H; Sillesen M
Lancet Digit Health; 2021 Aug; 3(8):e471-e485. PubMed ID: 34215564
[TBL] [Abstract][Full Text] [Related]
13. Completing sparse and disconnected protein-protein network by deep learning.
Huang L; Liao L; Wu CH
BMC Bioinformatics; 2018 Mar; 19(1):103. PubMed ID: 29566671
[TBL] [Abstract][Full Text] [Related]
14. Treating metastatic disease: Which survival model is best suited for the clinic?
Forsberg JA; Sjoberg D; Chen QR; Vickers A; Healey JH
Clin Orthop Relat Res; 2013 Mar; 471(3):843-50. PubMed ID: 22983682
[TBL] [Abstract][Full Text] [Related]
15. Can a Bayesian Belief Network Be Used to Estimate 1-year Survival in Patients With Bone Sarcomas?
Nandra R; Parry M; Forsberg J; Grimer R
Clin Orthop Relat Res; 2017 Jun; 475(6):1681-1689. PubMed ID: 28397168
[TBL] [Abstract][Full Text] [Related]
16. Application of Artificial Intelligence for Preoperative Diagnostic and Prognostic Prediction in Epithelial Ovarian Cancer Based on Blood Biomarkers.
Kawakami E; Tabata J; Yanaihara N; Ishikawa T; Koseki K; Iida Y; Saito M; Komazaki H; Shapiro JS; Goto C; Akiyama Y; Saito R; Saito M; Takano H; Yamada K; Okamoto A
Clin Cancer Res; 2019 May; 25(10):3006-3015. PubMed ID: 30979733
[TBL] [Abstract][Full Text] [Related]
17. A novel non-negative Bayesian stacking modeling method for Cancer survival prediction using high-dimensional omics data.
Shen J; Wang S; Sun H; Huang J; Bai L; Wang X; Dong Y; Tang Z
BMC Med Res Methodol; 2024 May; 24(1):105. PubMed ID: 38702624
[TBL] [Abstract][Full Text] [Related]
18. A combined ultrasonic B-mode and color Doppler system for the classification of breast masses using neural network.
Qian X; Zhang B; Liu S; Wang Y; Chen X; Liu J; Yang Y; Chen X; Wei Y; Xiao Q; Ma J; Shung KK; Zhou Q; Liu L; Chen Z
Eur Radiol; 2020 May; 30(5):3023-3033. PubMed ID: 32006174
[TBL] [Abstract][Full Text] [Related]
19. A deep learning-based cancer survival time classifier for small datasets.
Shakir H; Aijaz B; Khan TMR; Hussain M
Comput Biol Med; 2023 Jun; 160():106896. PubMed ID: 37150085
[TBL] [Abstract][Full Text] [Related]
20. Cancer survival prognosis with Deep Bayesian Perturbation Cox Network.
Zhang Z; Chai H; Wang Y; Pan Z; Yang Y
Comput Biol Med; 2022 Feb; 141():105012. PubMed ID: 34785075
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]