Search
Now showing items 1-10 of 11
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, ...
Constraint on Rare Protein-Coding Variation: Pathogenicity Prediction and Phenotypic Discovery
(2018-01-22)
Patterns of genetic variation along the human genome provide insight into functional and evolutionary constraints on different loci. Quantifying these patterns of constraint improves our ability to identify functional ...
Genome-wide Enhancer Maps Differ Significantly in their Genomic Distribution, Evolution, and Function
(2018-08-28)
Non-coding gene regulatory enhancers are essential to transcription in mammalian cells. As a result, a large variety of experimental and computational strategies have been developed to identify cis-regulatory enhancer ...
Social Network Analysis of Cancer Provider Collaboration
(2018-10-30)
Early data suggests that cancer providers who are more tightly connected have better clinical outcomes and lower costs. Many current methods to describe and measure provider connectivity are relatively simple, yet not easy ...
A Prediction Model for Disease-Specific 30-Day Readmission Following Hospital Discharge
(2018-03-23)
The Hospital Readmissions Reduction Program (HRRP) permits Centers for Medicare and Medicaid Services (CMS) to reduce reimbursement to hospitals with excess 30-day unplanned readmissions. Diabetes disproportionately impacts ...
Mixed methods approach for understanding clinical workflow
(2018-04-04)
Our research focused on the study of clinical workflow using an iterative mixed-methods approach that integrated data analytics with qualitative observations of people, processes and use of technologies. This methodology ...
Automated Mapping of Laboratory Tests to LOINC Codes using Noisy Labels in a National Electronic Health Record System Database
(2018-07-16)
Standards, such as the Logical Observation Identifiers Names and Codes (LOINC®) are critical for interoperability and integrating data into common data models, but are inconsistently used. Without consistent mapping to ...
Assessing the Patient Experience from Electronic Health Data
(2018-07-27)
For many patients with chronic diseases, navigating the complex medical system to receive care can be a daunting task. Patients often need to see multiple providers and undergo multiple procedures, which can be physically ...
The use of phosphoproteomic data to identify altered kinases and signaling pathways in cancer
(2018-07-26)
Altered kinase signaling is one of the hallmarks of cancer that has previously been studied at the genomic and transcriptomic level. However, phosphoproteomic data are an increasingly popular way to study global cell ...