Search Results - "Negoescu, Diana"

Dynamic Learning of Patient Response Types: An Application to Treating Chronic Diseases by Negoescu, Diana M., Bimpikis, Kostas, Brandeau, Margaret L., Iancu, Dan A.

“…Currently available medication for treating many chronic diseases is often effective only for a subgroup of patients, and biomarkers accurately assessing…”
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Proactive Vs Reactive Therapeutic Drug Monitoring of Infliximab in Crohn’s Disease: A Cost-Effectiveness Analysis in a Simulated Cohort by Negoescu, Diana M, Enns, Eva A, Swanhorst, Brooke, Baumgartner, Bonnie, Campbell, James P, Osterman, Mark T, Papamichael, Konstantinos, Cheifetz, Adam S, Vaughn, Byron P

“…Proactive therapeutic drug monitoring of infliximab is a marginally cost-effective strategy for Crohn’s disease, whereas reactive therapeutic drug monitoring…”
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When and what to test for: A cost-effectiveness analysis of febrile illness test-and-treat strategies in the era of responsible antibiotic use by Zhang, Anthony Zhenhuan, Negoescu, Diana, Munoz-Zanzi, Claudia

“…Febrile illness caused by viral and bacterial diseases (e.g., dengue and leptospirosis) often have similar symptoms and are difficult to differentiate without…”
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Differentiated Human Immunodeficiency Virus RNA Monitoring in Resource-Limited Settings: An Economic Analysis by Negoescu, Diana M., Zhang, Zhenhuan, Bucher, Heiner C., Bendavid, Eran

“…Background. Viral load (VL) monitoring for patients receiving antiretroviral therapy (ART) is recommended worldwide. However, the costs of frequent monitoring…”
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Does mothers' and caregivers' access to information on their child's vaccination card impact the timing of their child's measles vaccination in Uganda? by Griffith, Bridget C, Cusick, Sarah E, Searle, Kelly M, Negoescu, Diana M, Basta, Nicole E, Banura, Cecily

“…On-time measles vaccination is essential for preventing measles infection among children as early in life as possible, especially in areas where measles…”
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Screening and rapid molecular diagnosis of tuberculosis in prisons in Russia and Eastern Europe: a cost-effectiveness analysis by Winetsky, Daniel E, Negoescu, Diana M, DeMarchis, Emilia H, Almukhamedova, Olga, Dooronbekova, Aizhan, Pulatov, Dilshod, Vezhnina, Natalia, Owens, Douglas K, Goldhaber-Fiebert, Jeremy D

“…Prisons of the former Soviet Union (FSU) have high rates of multidrug-resistant tuberculosis (MDR-TB) and are thought to drive general population tuberculosis…”
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Balancing Immunological Benefits and Cardiovascular Risks of Antiretroviral Therapy: When Is Immediate Treatment Optimal? by Negoescu, Diana M., Owens, Douglas K., Brandeau, Margaret L., Bendavid, Eran

“…We developed a mathematical model to identify the timing of antiretroviral therapy (ART) initiation that optimizes patient outcomes as a function of patient…”
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CrystalCandle: A User-Facing Model Explainer for Narrative Explanations by Yang, Jilei, Negoescu, Diana, Ahammad, Parvez

“…Predictive machine learning models often lack interpretability, resulting in low trust from model end users despite having high predictive performance. While…”
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Managing Uncertainty in Sequential Medical Decision Making by Negoescu, Diana Maria

“…Many models currently used to design and analyze health policies ignore uncertainty in patient outcomes, assume homogeneous patient response to interventions,…”
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Sales Channel Optimization via Simulations Based on Observational Data with Delayed Rewards: A Case Study at LinkedIn by Negoescu, Diana M, Khosravi, Pasha, Zhao, Shadow, Chen, Nanyu, Ahammad, Parvez, Gonzalez, Humberto

“…Training models on data obtained from randomized experiments is ideal for making good decisions. However, randomized experiments are often time-consuming,…”
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Epsilon: Privacy Metric for Machine Learning Models by Negoescu, Diana M, Gonzalez, Humberto, Orjany, Saad Eddin Al, Yang, Jilei, Lut, Yuliia, Tandra, Rahul, Zhang, Xiaowen, Zheng, Xinyi, Douglas, Zach, Nolkha, Vidita, Ahammad, Parvez, Samorodnitsky, Gennady

“…We introduce Epsilon*, a new privacy metric for measuring the privacy risk of a single model instance prior to, during, or after deployment of privacy…”
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