136 related articles for article (PubMed ID: 31491359)
1. 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]
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. 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]
4. 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]
5. 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]
6. The Cost-Effectiveness of Dual Mobility Implants for Primary Total Hip Arthroplasty: A Computer-Based Cost-Utility Model.
Barlow BT; McLawhorn AS; Westrich GH
J Bone Joint Surg Am; 2017 May; 99(9):768-777. PubMed ID: 28463921
[TBL] [Abstract][Full Text] [Related]
7. Comparisons of prediction models of quality of life after laparoscopic cholecystectomy: a longitudinal prospective study.
Shi HY; Lee HH; Tsai JT; Ho WH; Chen CF; Lee KT; Chiu CC
PLoS One; 2012; 7(12):e51285. PubMed ID: 23284677
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. 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]
11. Chaotic genetic algorithm and Adaboost ensemble metamodeling approach for optimum resource planning in emergency departments.
Yousefi M; Yousefi M; Ferreira RPM; Kim JH; Fogliatto FS
Artif Intell Med; 2018 Jan; 84():23-33. PubMed ID: 29054572
[TBL] [Abstract][Full Text] [Related]
12. Application of artificial neural network and multiple linear regression in modeling nutrient recovery in vermicompost under different conditions.
Hosseinzadeh A; Baziar M; Alidadi H; Zhou JL; Altaee A; Najafpoor AA; Jafarpour S
Bioresour Technol; 2020 May; 303():122926. PubMed ID: 32035386
[TBL] [Abstract][Full Text] [Related]
13. A comparison of neural network models, fuzzy logic, and multiple linear regression for prediction of hatchability.
Mehri M
Poult Sci; 2013 Apr; 92(4):1138-42. PubMed ID: 23472039
[TBL] [Abstract][Full Text] [Related]
14. Comparison of artificial neural network and multiple linear regression in the optimization of formulation parameters of leuprolide acetate loaded liposomes.
Arulsudar N; Subramanian N; Muthy RS
J Pharm Pharm Sci; 2005 Aug; 8(2):243-58. PubMed ID: 16124936
[TBL] [Abstract][Full Text] [Related]
15. Comparative study of artificial neural network (ANN), adaptive neuro-fuzzy inference system (ANFIS) and multiple linear regression (MLR) for modeling of Cu (II) adsorption from aqueous solution using biochar derived from rambutan (Nephelium lappaceum) peel.
Wong YJ; Arumugasamy SK; Chung CH; Selvarajoo A; Sethu V
Environ Monit Assess; 2020 Jun; 192(7):439. PubMed ID: 32556670
[TBL] [Abstract][Full Text] [Related]
16. Cost-Effectiveness of Total Hip Arthroplasty Versus Nonoperative Management in Normal, Overweight, Obese, Severely Obese, Morbidly Obese, and Super Obese Patients: A Markov Model.
Ponnusamy KE; Vasarhelyi EM; McCalden RW; Somerville LE; Marsh JD
J Arthroplasty; 2018 Dec; 33(12):3629-3636. PubMed ID: 30266324
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Application of KNN and ANN Metamodeling for RTM Filling Process Prediction.
Chai BX; Eisenbart B; Nikzad M; Fox B; Blythe A; Bwar KH; Wang J; Du Y; Shevtsov S
Materials (Basel); 2023 Sep; 16(18):. PubMed ID: 37763393
[TBL] [Abstract][Full Text] [Related]
19. An emergency department simulation and a neural network metamodel.
Kilmer RA; Smith AE; Shuman LJ
J Soc Health Syst; 1997; 5(3):63-79. PubMed ID: 9035024
[TBL] [Abstract][Full Text] [Related]
20. A comparison of artificial neural networks with other statistical approaches for the prediction of true metabolizable energy of meat and bone meal.
Perai AH; Nassiri Moghaddam H; Asadpour S; Bahrampour J; Mansoori G
Poult Sci; 2010 Jul; 89(7):1562-8. PubMed ID: 20548088
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]