160 related articles for article (PubMed ID: 30854500)
1. Development of a Fully Cross-Validated Bayesian Network Approach for Local Control Prediction in Lung Cancer.
Luo Y; McShan D; Ray D; Matuszak M; Jolly S; Lawrence T; Ming Kong F; Ten Haken R; El Naqa I
IEEE Trans Radiat Plasma Med Sci; 2019 Mar; 3(2):232-241. PubMed ID: 30854500
[TBL] [Abstract][Full Text] [Related]
2. A multiobjective Bayesian networks approach for joint prediction of tumor local control and radiation pneumonitis in nonsmall-cell lung cancer (NSCLC) for response-adapted radiotherapy.
Luo Y; McShan DL; Matuszak MM; Ray D; Lawrence TS; Jolly S; Kong FM; Ten Haken RK; El Naqa I
Med Phys; 2018 Jun; ():. PubMed ID: 29862533
[TBL] [Abstract][Full Text] [Related]
3. Unraveling biophysical interactions of radiation pneumonitis in non-small-cell lung cancer via Bayesian network analysis.
Luo Y; El Naqa I; McShan DL; Ray D; Lohse I; Matuszak MM; Owen D; Jolly S; Lawrence TS; Kong FS; Ten Haken RK
Radiother Oncol; 2017 Apr; 123(1):85-92. PubMed ID: 28237401
[TBL] [Abstract][Full Text] [Related]
4. A human-in-the-loop based Bayesian network approach to improve imbalanced radiation outcomes prediction for hepatocellular cancer patients with stereotactic body radiotherapy.
Luo Y; Cuneo KC; Lawrence TS; Matuszak MM; Dawson LA; Niraula D; Ten Haken RK; El Naqa I
Front Oncol; 2022; 12():1061024. PubMed ID: 36568208
[TBL] [Abstract][Full Text] [Related]
5. Bayesian network ensemble as a multivariate strategy to predict radiation pneumonitis risk.
Lee S; Ybarra N; Jeyaseelan K; Faria S; Kopek N; Brisebois P; Bradley JD; Robinson C; Seuntjens J; El Naqa I
Med Phys; 2015 May; 42(5):2421-30. PubMed ID: 25979036
[TBL] [Abstract][Full Text] [Related]
6. A situational awareness Bayesian network approach for accurate and credible personalized adaptive radiotherapy outcomes prediction in lung cancer patients.
Luo Y; Jolly S; Palma D; Lawrence TS; Tseng HH; Valdes G; McShan D; Ten Haken RK; Ei Naqa I
Phys Med; 2021 Jul; 87():11-23. PubMed ID: 34091197
[TBL] [Abstract][Full Text] [Related]
7. Comparison of Bayesian network and support vector machine models for two-year survival prediction in lung cancer patients treated with radiotherapy.
Jayasurya K; Fung G; Yu S; Dehing-Oberije C; De Ruysscher D; Hope A; De Neve W; Lievens Y; Lambin P; Dekker AL
Med Phys; 2010 Apr; 37(4):1401-7. PubMed ID: 20443461
[TBL] [Abstract][Full Text] [Related]
8. Developing Bayesian networks from a dependency-layered ontology: A proof-of-concept in radiation oncology.
Kalet AM; Doctor JN; Gennari JH; Phillips MH
Med Phys; 2017 Aug; 44(8):4350-4359. PubMed ID: 28500765
[TBL] [Abstract][Full Text] [Related]
9. PEnBayes: A Multi-Layered Ensemble Approach for Learning Bayesian Network Structure from Big Data.
Tang Y; Wang J; Nguyen M; Altintas I
Sensors (Basel); 2019 Oct; 19(20):. PubMed ID: 31614544
[TBL] [Abstract][Full Text] [Related]
10. An image-guided radiotherapy decision support framework incorporating a Bayesian network and visualization tool.
Hargrave C; Deegan T; Bednarz T; Poulsen M; Harden F; Mengersen K
Med Phys; 2018 Jul; 45(7):2884-2897. PubMed ID: 29772061
[TBL] [Abstract][Full Text] [Related]
11. Robust Stabilizing Control of Perturbed Biological Networks via Coordinate Transformation and Algebraic Analysis.
Yang JM; Lee CK; Cho KH
IEEE Trans Neural Netw Learn Syst; 2024 Mar; 35(3):3450-3463. PubMed ID: 35900995
[TBL] [Abstract][Full Text] [Related]
12. Comparison of Logistic Regression and Bayesian Networks for Risk Prediction of Breast Cancer Recurrence.
Witteveen A; Nane GF; Vliegen IMH; Siesling S; IJzerman MJ
Med Decis Making; 2018 Oct; 38(7):822-833. PubMed ID: 30132386
[TBL] [Abstract][Full Text] [Related]
13. Assessment of Breast Cancer Risk in an Iranian Female Population Using Bayesian Networks with Varying Node Number.
Rezaianzadeh A; Sepandi M; Rahimikazerooni S
Asian Pac J Cancer Prev; 2016 Nov; 17(11):4913-4916. PubMed ID: 28032495
[TBL] [Abstract][Full Text] [Related]
14. Using bayesian networks to model hierarchical relationships in epidemiological studies.
Nguefack-Tsague G
Epidemiol Health; 2011; 33():e2011006. PubMed ID: 21779534
[TBL] [Abstract][Full Text] [Related]
15. Practical application of a Bayesian network approach to poultry epigenetics and stress.
Videla Rodriguez EA; Pértille F; Guerrero-Bosagna C; Mitchell JBO; Jensen P; Smith VA
BMC Bioinformatics; 2022 Jul; 23(1):261. PubMed ID: 35778683
[TBL] [Abstract][Full Text] [Related]
16. Bayesian network-based missing mechanism identification (BN-MMI) method in medical research.
Yue T; Zhang T
BMC Med Inform Decis Mak; 2021 Nov; 21(1):316. PubMed ID: 34772422
[TBL] [Abstract][Full Text] [Related]
17. Mining data from milk infrared spectroscopy to improve feed intake predictions in lactating dairy cows.
Dórea JRR; Rosa GJM; Weld KA; Armentano LE
J Dairy Sci; 2018 Jul; 101(7):5878-5889. PubMed ID: 29680644
[TBL] [Abstract][Full Text] [Related]
18. An approach for knowledge acquisition from a survey data by conducting Bayesian network modeling, adopting the robust coplot method.
Ersel D; Atılgan YK
J Appl Stat; 2022; 49(16):4069-4096. PubMed ID: 36353299
[TBL] [Abstract][Full Text] [Related]
19. Estimating survival benefit of adjuvant therapy based on a Bayesian network prediction model in curatively resected advanced gallbladder adenocarcinoma.
Geng ZM; Cai ZQ; Zhang Z; Tang ZH; Xue F; Chen C; Zhang D; Li Q; Zhang R; Li WZ; Wang L; Si SB
World J Gastroenterol; 2019 Oct; 25(37):5655-5666. PubMed ID: 31602165
[TBL] [Abstract][Full Text] [Related]
20. Modeling and predicting the occurrence of brain metastasis from lung cancer by Bayesian network: a case study of Taiwan.
Wang KJ; Makond B; Wang KM
Comput Biol Med; 2014 Apr; 47():147-60. PubMed ID: 24607682
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
