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Publication search results
found 421 matches
- 2021
- Sanaa Moussa Salman:
Memory and media coverage effect on an HIV/AIDS epidemic model with treatment. J. Comput. Appl. Math. 385: 113203 (2021) - 2020
- Bevan I. Smith
, Charles Chimedza
, Jacoba H. Bührmann:
Global and Individual Treatment Effects Using Machine Learning Methods. Int. J. Artif. Intell. Educ. 30(3): 431-458 (2020) - Tobias Schoch
, André Müller:
Treatment of sample under-representation and skewed heavy-tailed distributions in survey-based microsimulation: An analysis of redistribution effects in compulsory health care insurance in Switzerland. AStA Wirtschafts und Sozialstatistisches Arch. 14(3): 267-304 (2020) - Hongcheng Yao, Qian Liang, Xinyi Qian, Junwen Wang
, Pak Chung Sham, Mulin Jun Li:
Methods and resources to access mutation-dependent effects on cancer drug treatment. Briefings Bioinform. 21(6): 1886-1903 (2020) - Sami Tabib, Denis Larocque
:
Non-parametric individual treatment effect estimation for survival data with random forests. Bioinform. 36(2): 629-636 (2020) - Yashar Sarbaz
, Hakimeh Pourakbari:
Exploring the nature of Parkinsonian rest tremor and the effects of common treatments on it: Stochastic process or chaotic behavior? Biomed. Signal Process. Control. 61: 102040 (2020) - Fareeha Anwar, Uzma Saleem, Bashir Ahmad, Muhammad Ashraf, Atta Ur Rehman, Matheus Froeyen, Lee Yean Kee, Iskandar Abdullah, Muhammad Usman Mirza, Sarfraz Ahmad:
New naphthalene derivative for cost-effective AChE inhibitors for Alzheimer's treatment: In silico identification, in vitro and in vivo validation. Comput. Biol. Chem. 89: 107378 (2020) - Maria Iachina, Peter Morling:
A simulation-based comparison of two methods for determining the treatment effect in children diagnosed with hyperkinetic disorder. Commun. Stat. Simul. Comput. 49(6): 1385-1396 (2020) - Sonali Parbhoo
, Mario Wieser
, Aleksander Wieczorek
, Volker Roth:
Information Bottleneck for Estimating Treatment Effects with Systematically Missing Covariates. Entropy 22(4): 389 (2020) - Retraction notice to "AOFAS scores for curative effect analysis on arthroscopic treatment of subtalar ankle instability with osteochondral injury syndrome" [Future Gener. Comput. Syst. 91 (2019) 506-510]. Future Gener. Comput. Syst. 107: 1144 (2020)
- Lev V. Utkin
, Mikhail V. Kots, Viacheslav S. Chukanov, Andrei V. Konstantinov, Anna A. Meldo:
Estimation of Personalized Heterogeneous Treatment Effects Using Concatenation and Augmentation of Feature Vectors. Int. J. Artif. Intell. Tools 29(5): 2050005:1-2050005:23 (2020) - Stephen Edward, Eunice W. Mureithi, Nyimvua Shaban
:
Shigellosis Dynamics: Modelling the Effects of Treatment, Sanitation, and Education in the Presence of Carriers. Int. J. Math. Math. Sci. 2020: 3476458:1-3476458:19 (2020) - Jie Zhu
, Blanca Gallego:
Targeted estimation of heterogeneous treatment effect in observational survival analysis. J. Biomed. Informatics 107: 103474 (2020) - Andrea Rotnitzky, Ezequiel Smucler:
Efficient Adjustment Sets for Population Average Causal Treatment Effect Estimation in Graphical Models. J. Mach. Learn. Res. 21: 188:1-188:86 (2020) - Timóteo Matthies Rico
, Karina dos Santos Machado, Vanessa Pellegrini Fernandes, Samanta Winck Madruga, Mateus Madail Santin, Cristiane Rios Petrarca, Samuel Carvalho Dumith:
Use of Text Messaging (SMS) for the Management of Side Effects in Cancer Patients Undergoing Chemotherapy Treatment: a Randomized Controlled Trial. J. Medical Syst. 44(11): 193 (2020) - Jiebin Chu, Wei Dong, Jinliang Wang, Kunlun He, Zhengxing Huang
:
Treatment effect prediction with adversarial deep learning using electronic health records. BMC Medical Informatics Decis. Mak. 20-S(4): 139 (2020) - Ruben D. Vromans
, Steffen C. Pauws, Nadine Bol
, Lonneke V. van de Poll-Franse, Emiel J. Krahmer:
Communicating tailored risk information of cancer treatment side effects: Only words or also numbers? BMC Medical Informatics Decis. Mak. 20(1): 277 (2020) - Zhuo Zheng, Saghar Samimi Sedeh:
Effect of hospital architecture, computer games, and nurses' behavior on the effectiveness of the treatment process of adolescent cancer patients. Netw. Model. Anal. Health Informatics Bioinform. 9(1): 31 (2020) - Kun Kuang, Peng Cui, Bo Li, Meng Jiang, Yashen Wang, Fei Wu, Shiqiang Yang:
Treatment Effect Estimation via Differentiated Confounder Balancing and Regression. ACM Trans. Knowl. Discov. Data 14(1): 6:1-6:25 (2020) - Miao Yu, Wenbin Lu, Rui Song:
A New Framework for Online Testing of Heterogeneous Treatment Effect. AAAI 2020: 10310-10317 - Qidong Liu, Feng Tian, Weihua Ji, Qinghua Zheng:
A New Representation Learning Method for Individual Treatment Effect Estimation: Split Covariate Representation Network. ACML 2020: 811-822 - Yushu Wang, Yikun Wang, Yicheng (Frederick) Jiang:
The Effects of Heat Treatment on Fatigue Strength, Tensile Strength and Fatigue Fracture Appearance. AIAM 2020: 344-348 - M. Usaid Awan, Marco Morucci, Vittorio Orlandi, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky:
Almost-Matching-Exactly for Treatment Effect Estimation under Network Interference. AISTATS 2020: 3252-3262 - Yao Zhang, Alexis Bellot, Mihaela van der Schaar:
Learning Overlapping Representations for the Estimation of Individualized Treatment Effects. AISTATS 2020: 1005-1014 - Caroline Dakoure, Hamdi Ben Abdessalem, Marwa Boukadida, Marc Cuesta, Marie-Andrée Bruneau, Sylvie Belleville, Claude Frasson:
Virtual Savannah: An Effective Therapeutic and Relaxing Treatment for People with Subjective Cognitive Decline. BFAL 2020: 107-112 - Jake M. Hofman, Daniel G. Goldstein, Jessica Hullman:
How Visualizing Inferential Uncertainty Can Mislead Readers About Treatment Effects in Scientific Results. CHI 2020: 1-12 - Chirag Nagpal, Dennis Wei, Bhanukiran Vinzamuri, Monica Shekhar, Sara E. Berger, Subhro Das, Kush R. Varshney:
Interpretable subgroup discovery in treatment effect estimation with application to opioid prescribing guidelines. CHIL 2020: 19-29 - Zhixuan Chu, Stephen L. Rathbun, Sheng Li:
Matching in Selective and Balanced Representation Space for Treatment Effects Estimation. CIKM 2020: 205-214 - Sookyo Jeong, Hongseok Namkoong:
Robust causal inference under covariate shift via worst-case subpopulation treatment effects. COLT 2020: 2079-2084 - Gang Li, Huizhi Xie:
Auxiliary Decision-making for Controlled Experiments based on Mid-term Treatment Effect Prediction: Applications in Ant Financial's Offline-payment Business. DATA 2020: 19-30
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