Search Results - "Negoescu, Diana M."
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Proactive Vs Reactive Therapeutic Drug Monitoring of Infliximab in Crohn’s Disease: A Cost-Effectiveness Analysis in a Simulated Cohort
Published in Inflammatory bowel diseases (01-01-2020)“…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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Does mothers' and caregivers' access to information on their child's vaccination card impact the timing of their child's measles vaccination in Uganda?
Published in BMC public health (26-04-2022)“…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
Published in PLoS medicine (01-11-2012)“…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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Dynamic Learning of Patient Response Types: An Application to Treating Chronic Diseases
Published in Management science (01-08-2018)“…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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Differentiated Human Immunodeficiency Virus RNA Monitoring in Resource-Limited Settings: An Economic Analysis
Published in Clinical infectious diseases (15-06-2017)“…Background. Viral load (VL) monitoring for patients receiving antiretroviral therapy (ART) is recommended worldwide. However, the costs of frequent monitoring…”
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Balancing Immunological Benefits and Cardiovascular Risks of Antiretroviral Therapy: When Is Immediate Treatment Optimal?
Published in Clinical infectious diseases (15-11-2012)“…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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Sales Channel Optimization via Simulations Based on Observational Data with Delayed Rewards: A Case Study at LinkedIn
Published 16-09-2022“…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
Published 20-07-2023“…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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