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Knowledge-Driven Genome-Wide Analysis of Multigenic Interactions Impacting HDL Cholesterol Level
(2010-12-21)
Growing interest and burgeoning technology for discovering genetic mechanisms that influence disease processes have ushered in a flood of genetic association studies over the last decade, yet little heritability in highly ...
Image-guidance in ophthalmic surgery using optical coherence tomography
(2019-01-21)
Ophthalmic surgery involves manipulation of layered tissue structures on milli- to micrometer scales. Traditional surgical microscopes provide a two-dimensional view of the surgical field with limited depth perception which ...
Development and application of ligand-based computational methods for de-novo drug design and virtual screening
(2016-11-18)
Ligand-based computational drug discovery (LB-CADD) methods have been used widely over the last several decades to aid medicinal chemistry campaigns via virtual high-throughput screening (vHTS) and de-novo molecular design. ...
Random Forest Classification of Acute Coronary Syndrome
(2013-12-16)
Coronary artery disease (CAD) is the leading cause of death worldwide. Acute coronary syndromes (ACS), a subset of CAD, account for 1.4 million hospitalizations $165 billion in costs in the United States alone. A major ...
Models to Predict Survival after Liver Transplantation
(2005-12-16)
In light of the growing scarcity of livers available for transplantation, careful decisions must be made in organ allocation. The current standard of care for transplant decision making is the use of clinical judgment, ...
HybrIDS: Embeddable Hybrid Intrusion Detection System
(2007-12-18)
In order to provide preventative security to a homogeneous device network,
techniques in addition to static encryption must be implemented to assure network
integrity by identifying possible deviant nodes within the ...
Learning Clinical Data Representations for Machine Learning
(2018-11-29)
Implementing machine learning in healthcare has increased in the past years. Representing clinical data is the Crux of machine learning. Learning informative features can improve the trained models’ performance. This ...
Risk Prediction Models and Visualizations for Hepatorenal Syndrome
(2018-11-21)
Cirrhosis, a late stage of chronic liver damage where scarring replaces hepatic tissue, carries significant morbidity and mortality. The prevalence is estimated between 400,000 and 3,000,000 persons in the United States, ...
Data-Driven System for Perioperative Acuity Prediction
(2016-11-21)
The widely used American Society of Anesthesiologist’s’ (ASA) Physical Status classification is subjective and requires time-consuming clinician assessment. Machine learning can be used to develop a system that predicts ...
Developing Computer-generated PubMed Queries for Identifying Drug-Drug Interaction Content in MEDLINE
(2005-12-13)
Unwanted drug-drug interactions endanger millions of patients each year and burden families and the hospital system with escalating costs. Computer-based alerting systems are designed to prevent these interactions, yet the ...