Stacey Newman

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Congestive Heart Failure (CHF) is a serious chronic condition often leading to 50% mortality within 5 years. Improper treatment and post-discharge care of CHF patients leads to repeat frequent hospitalizations (i.e., readmissions). Accurately predicting patient's risk-of-readmission enables care-providers to plan resources, perform factor analysis, and(More)
Many data-driven personalized services require that private data of users is scored against a trained machine learning model. In this paper we propose a novel protocol for privacypreserving classification of decision trees, a popular machine learning model in these scenarios. Our solutions are composed out of building blocks, namely a secure comparison(More)
STUDY OBJECTIVE The national standard for door-to-balloon time is 90 minutes, as recommended by the American Heart Association/American College of Cardiology guidelines for ST-elevation myocardial infarction (STEMI). Percutaneous coronary intervention for STEMI was initiated at our institution in June 2004. Review of our door-to-balloon times revealed that(More)
STUDY OBJECTIVES To describe preoperative and postoperative sleep disruption and its relationship to postoperative delirium. DESIGN Prospective cohort study with 6 time points (3 nights pre-hospitalization and 3 nights post-surgery). SETTING University medical center. PATIENTS The sample consisted of 50 English-speaking patients ≥ 40 years of age(More)
The increasing availability of digital health records should ideally improve accountability in healthcare. In this context, the study of predictive modeling of healthcare costs forms a foundation for accountable care, at both population and individual patient-level care. In this research we use machine learning algorithms for accurate predictions of(More)
This work proposes a protocol for performing linear regression over a dataset that is distributed over multiple parties. The parties will jointly compute a linear regression model without actually sharing their own private datasets. We provide security definitions, a protocol, and security proofs. Our solution is information-theoretically secure and is(More)
In this demonstration proposal we describe Health-SCOPE (Healthcare Scalable COst Prediction Engine), a frame-work for exploring historical and present day healthcare costs as well as for predicting future costs. Health SCOPE can be used by individuals to estimate their healthcare costs in the coming year. In addition, Health SCOPE supports a population(More)
BACKGROUND Postoperative pain and opioid use are associated with postoperative delirium. We designed a single-center, randomized, placebo-controlled, parallel-arm, double-blinded trial to determine whether perioperative administration of gabapentin reduced postoperative delirium after noncardiac surgery. METHODS Patients were randomly assigned to receive(More)
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