150 related articles for article (PubMed ID: 34098793)
1. 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]
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. 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]
4. 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]
5. A Metamodeling Approach for Instant Severity Assessment and Uncertainty Quantification of Iliac Artery Stenoses.
Heinen SGH; Gashi K; van den Heuvel DAF; de Vries JPPM; van de Vosse FN; Delhaas T; Huberts W
J Biomech Eng; 2020 Jan; 142(1):. PubMed ID: 31513713
[TBL] [Abstract][Full Text] [Related]
6. Predicting hourly air pollutant levels using artificial neural networks coupled with uncertainty analysis by Monte Carlo simulations.
Arhami M; Kamali N; Rajabi MM
Environ Sci Pollut Res Int; 2013 Jul; 20(7):4777-89. PubMed ID: 23292230
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Computational Intelligence and Wavelet Transform Based Metamodel for Efficient Generation of Not-Yet Simulated Waveforms.
Oltean G; Ivanciu LN
PLoS One; 2016; 11(1):e0146602. PubMed ID: 26745370
[TBL] [Abstract][Full Text] [Related]
9. Shall we always use hydraulic models? A graph neural network metamodel for water system calibration and uncertainty assessment.
Zanfei A; Menapace A; Brentan BM; Sitzenfrei R; Herrera M
Water Res; 2023 Aug; 242():120264. PubMed ID: 37393807
[TBL] [Abstract][Full Text] [Related]
10. Evaluating Parameter Uncertainty in a Simulation Model of Cancer Using Emulators.
de Carvalho TM; Heijnsdijk EAM; Coffeng L; de Koning HJ
Med Decis Making; 2019 May; 39(4):405-413. PubMed ID: 31179833
[No Abstract] [Full Text] [Related]
11. 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]
12. Emulator-Based Bayesian Calibration of the CISNET Colorectal Cancer Models.
Pineda-Antunez C; Seguin C; van Duuren LA; Knudsen AB; Davidi B; Nascimento de Lima P; Rutter C; Kuntz KM; Lansdorp-Vogelaar I; Collier N; Ozik J; Alarid-Escudero F
Med Decis Making; 2024 Jun; ():272989X241255618. PubMed ID: 38858832
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. 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]
15. Methods for expected value of information analysis in complex health economic models: developments on the health economics of interferon-beta and glatiramer acetate for multiple sclerosis.
Tappenden P; Chilcott JB; Eggington S; Oakley J; McCabe C
Health Technol Assess; 2004 Jun; 8(27):iii, 1-78. PubMed ID: 15215017
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Enabling forward uncertainty quantification and sensitivity analysis in cardiac electrophysiology by reduced order modeling and machine learning.
Pagani S; Manzoni A
Int J Numer Method Biomed Eng; 2021 Jun; 37(6):e3450. PubMed ID: 33599106
[TBL] [Abstract][Full Text] [Related]
18. Efficient Bayesian automatic calibration of a functional-structural wheat model using an adaptive design and a metamodelling approach.
Blanc E; Enjalbert J; Flutre T; Barbillon P
J Exp Bot; 2023 Nov; 74(21):6722-6734. PubMed ID: 37632355
[TBL] [Abstract][Full Text] [Related]
19. Using Metamodeling to Identify the Optimal Strategy for Colorectal Cancer Screening.
Koffijberg H; Degeling K; IJzerman MJ; Coupé VMH; Greuter MJE
Value Health; 2021 Feb; 24(2):206-215. PubMed ID: 33518027
[TBL] [Abstract][Full Text] [Related]
20. Robust artificial neural network for reliability and sensitivity analyses of complex non-linear systems.
Oparaji U; Sheu RJ; Bankhead M; Austin J; Patelli E
Neural Netw; 2017 Dec; 96():80-90. PubMed ID: 28987979
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
