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Signal Transduction and Targeted Therapy|January 18, 2019
Predicting responses to platin chemotherapy agents with biochemically-inspired machine learningEliseos J Mucaki, Jonathan Z L Zhao, Daniel J Lizotte, et al.Journal of the Royal Statistical Society. Series C, Applied Statistics|January 22, 2019
Optimal treatment allocations in space and time for on-line control of an emerging infectious diseaseEric B Laber, Nick J Meyer, Brian J Reich, et al.Journal of Medical Internet Research|May 17, 2023
Factors Influencing Admission Decisions in Skilled Nursing Facilities: Retrospective Quantitative StudyCaroline Strickland, Nancy Chi, Laura Ditz, et al.Journal of the American Statistical Association|September 21, 2020
Estimating Dynamic Treatment Regimes in Mobile Health Using V-learningDaniel J Luckett, Eric B Laber, Anna R Kahkoska, et al.Breast Cancer Research and Treatment|July 8, 2018
CYP2D6 genotype and endoxifen plasma concentration do not predict hot flash severity during tamoxifen therapyLaura E Jansen, Wendy A Teft, Rhiannon V Rose, et al.Machine Learning|July 30, 2011
Informing sequential clinical decision-making through reinforcement learning: an empirical studySusan M Shortreed, Eric Laber, Daniel J Lizotte, et al.Sensors (Basel, Switzerland)|May 11, 2024
DRL-GAN: A Hybrid Approach for Binary and Multiclass Network Intrusion DetectionCaroline Strickland, Muhammad Zakar, Chandrika Saha, et al.Journal of Evidence-Based Medicine|January 18, 2020
Estimating patient-reported outcomes for glaucoma management: A cross-sectional studyLavanya Uruthiramoorthy, Cindy M L Hutnik, Kathy N Speechley, et al.The Journal of Nutritional Biochemistry|March 31, 2021
The interplay between diet, gut microbes, and host epigenetics in health and diseaseTori Shock, Luis Badang, Bradley Ferguson, et al.International Journal of Population Data Science|May 6, 2022
Quantifying depression-related language on social media during the COVID-19 pandemicBrent D Davis, Dawn Estes McKnight, Daniela Teodorescu, et al.Pageof 10