148 related articles for article (PubMed ID: 35735216)
1. Metamodeling for Policy Simulations with Multivariate Outcomes.
Zhong H; Brandeau ML; Yazdi GE; Wang J; Nolen S; Hagan L; Thompson WW; Assoumou SA; Linas BP; Salomon JA
Med Decis Making; 2022 Oct; 42(7):872-884. PubMed ID: 35735216
[TBL] [Abstract][Full Text] [Related]
2. Cost-Effectiveness and Value-of-Information Analysis Using Machine Learning-Based Metamodeling: A Case of Hepatitis C Treatment.
McCandlish JA; Ayer T; Chhatwal J
Med Decis Making; 2023 Jan; 43(1):68-77. PubMed ID: 36113098
[TBL] [Abstract][Full Text] [Related]
3. Introduction to Metamodeling for Reducing Computational Burden of Advanced Analyses with Health Economic Models: A Structured Overview of Metamodeling Methods in a 6-Step Application Process.
Degeling K; IJzerman MJ; Lavieri MS; Strong M; Koffijberg H
Med Decis Making; 2020 Apr; 40(3):348-363. PubMed ID: 32428428
[TBL] [Abstract][Full Text] [Related]
4. Developing and Validating Metamodels of a Microsimulation Model of Infant HIV Testing and Screening Strategies Used in a Decision Support Tool for Health Policy Makers.
Soeteman DI; Resch SC; Jalal H; Dugdale CM; Penazzato M; Weinstein MC; Phillips A; Hou T; Abrams EJ; Dunning L; Newell ML; Pei PP; Freedberg KA; Walensky RP; Ciaranello AL
MDM Policy Pract; 2020; 5(1):2381468320932894. PubMed ID: 32587893
[No Abstract] [Full Text] [Related]
5. Multiobjective Calibration of Disease Simulation Models Using Gaussian Processes.
Sai A; Vivas-Valencia C; Imperiale TF; Kong N
Med Decis Making; 2019 Jul; 39(5):540-552. PubMed ID: 31375053
[No Abstract] [Full Text] [Related]
6. Machine Learning-Based Boosted Regression Ensemble Combined with Hyperparameter Tuning for Optimal Adaptive Learning.
Isabona J; Imoize AL; Kim Y
Sensors (Basel); 2022 May; 22(10):. PubMed ID: 35632184
[TBL] [Abstract][Full Text] [Related]
7. Choosing a Metamodel of a Simulation Model for Uncertainty Quantification.
de Carvalho TM; van Rosmalen J; Wolff HB; Koffijberg H; Coupé VMH
Med Decis Making; 2022 Jan; 42(1):28-42. PubMed ID: 34098793
[TBL] [Abstract][Full Text] [Related]
8. A scoping review of metamodeling applications and opportunities for advanced health economic analyses.
Degeling K; IJzerman MJ; Koffijberg H
Expert Rev Pharmacoecon Outcomes Res; 2019 Apr; 19(2):181-187. PubMed ID: 30426801
[TBL] [Abstract][Full Text] [Related]
9. Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers.
Deist TM; Dankers FJWM; Valdes G; Wijsman R; Hsu IC; Oberije C; Lustberg T; van Soest J; Hoebers F; Jochems A; El Naqa I; Wee L; Morin O; Raleigh DR; Bots W; Kaanders JH; Belderbos J; Kwint M; Solberg T; Monshouwer R; Bussink J; Dekker A; Lambin P
Med Phys; 2018 Jul; 45(7):3449-3459. PubMed ID: 29763967
[TBL] [Abstract][Full Text] [Related]
10. Artificial neural network metamodel for sensitivity analysis in a total hip replacement health economic model.
Alam MF; Briggs A
Expert Rev Pharmacoecon Outcomes Res; 2020 Dec; 20(6):629-640. PubMed ID: 31491359
[No Abstract] [Full Text] [Related]
11. Prediction of the output factor using machine and deep learning approach in uniform scanning proton therapy.
Grewal HS; Chacko MS; Ahmad S; Jin H
J Appl Clin Med Phys; 2020 Jul; 21(7):128-134. PubMed ID: 32419245
[TBL] [Abstract][Full Text] [Related]
12. Heterogeneous ensemble learning for enhanced crash forecasts - A frequentist and machine learning based stacking framework.
Ahmad N; Wali B; Khattak AJ
J Safety Res; 2023 Feb; 84():418-434. PubMed ID: 36868672
[TBL] [Abstract][Full Text] [Related]
13. Do we need different machine learning algorithms for QSAR modeling? A comprehensive assessment of 16 machine learning algorithms on 14 QSAR data sets.
Wu Z; Zhu M; Kang Y; Leung EL; Lei T; Shen C; Jiang D; Wang Z; Cao D; Hou T
Brief Bioinform; 2021 Jul; 22(4):. PubMed ID: 33313673
[TBL] [Abstract][Full Text] [Related]
14. A Bayesian optimization tunning integrated multi-stacking classifier framework for the prediction of radiodermatitis from 4D-CT of patients underwent breast cancer radiotherapy.
Wu K; Miu X; Wang H; Li X
Front Oncol; 2023; 13():1152020. PubMed ID: 37384290
[TBL] [Abstract][Full Text] [Related]
15. Short-term solar radiation forecasting using machine learning models under different sky conditions: evaluations and comparisons.
Belmahdi B; Bouardi AE
Environ Sci Pollut Res Int; 2024 Jan; 31(1):966-981. PubMed ID: 38030838
[TBL] [Abstract][Full Text] [Related]
16. Impact of multi-output and stacking methods on feed efficiency prediction from genotype using machine learning algorithms.
Mora M; González P; Quevedo JR; Montañés E; Tusell L; Bergsma R; Piles M
J Anim Breed Genet; 2023 Nov; 140(6):638-652. PubMed ID: 37403756
[TBL] [Abstract][Full Text] [Related]
17. Can machine learning predict pharmacotherapy outcomes? An application study in osteoporosis.
Lin YT; Chu CY; Hung KS; Lu CH; Bednarczyk EM; Chen HY
Comput Methods Programs Biomed; 2022 Oct; 225():107028. PubMed ID: 35930862
[TBL] [Abstract][Full Text] [Related]
18. A Multiobjective Evolutionary Nonlinear Ensemble Learning With Evolutionary Feature Selection for Silicon Prediction in Blast Furnace.
Wang X; Hu T; Tang L
IEEE Trans Neural Netw Learn Syst; 2022 May; 33(5):2080-2093. PubMed ID: 33661737
[TBL] [Abstract][Full Text] [Related]
19. BayCANN: Streamlining Bayesian Calibration With Artificial Neural Network Metamodeling.
Jalal H; Trikalinos TA; Alarid-Escudero F
Front Physiol; 2021; 12():662314. PubMed ID: 34113262
[No Abstract] [Full Text] [Related]
20. Calibration and Validation of the Colorectal Cancer and Adenoma Incidence and Mortality (CRC-AIM) Microsimulation Model Using Deep Neural Networks.
Vahdat V; Alagoz O; Chen JV; Saoud L; Borah BJ; Limburg PJ
Med Decis Making; 2023 Aug; 43(6):719-736. PubMed ID: 37434445
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
