Biomedical and health informatics
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Ontology-driven pathway data integration
Biological pathways are useful tools for understanding human physiology and disease pathogenesis. Pathway analysis can be used to detect genes and functions associated with complex disease phenotypes. When performing pathway ... -
Examining the Feasibility of Internet of Things Technologies to Support Aging-in-Place
The older adult population is one of the fastest growing demographic groups in the United States. Older adults face challenges such as chronic health conditions, reduced mobility, and cognitive decline. Technological ... -
Bicluster-Based Identification of Gene Sets Through Multivariate Meta-Analysis (MVMA)
Omics technologies are among the most exciting developments in biology and medicine in recent decades. They offer a whole new way of investigating a sample or a patient by taking comprehensive molecular-level snapshots. ... -
The Problem of Time: Addressing challenges in spatio-temporal data integration
Across scientific disciplines, an ever-growing proportion of data can be effectively described in spatial terms. As researchers have become comfortable with techniques for dealing with spatial data, the next progression ... -
No Wrong Door: Designing Health Information Technology to Support Interprofessional Collaboration Around Child Development Work
Child development refers to children gaining the skills they need to succeed in life, consisting of abilities in overlapping domains such as speech, motor, social, and cognition. Developmental disabilities are chronic ... -
Immunologic Correlates Analysis of RhCMV/SIV Vaccine Efficacy - Applying Machine Learning Techniques to Model Vaccine Elicited T Cell Responses
In the past 30 years, HIV vaccine studies on traditional CD8+ T cell-targeted HIV vaccines were frustrated by the ineffectiveness of mediating immediate vaccinal interception upon infection acquisition prior to the explosive ... -
Secondary Usage of Electronic Health Record Data for Patient-Specific Modeling
Translational research has become an important bridge that moves findings from basic science research to patients' bedside and to the clinical community. Unfortunately, this notion of translational research seems to be ... -
U-Net for Cerebral Cortical MR Image Segmentation
Cerebral cortex segmentation from three-dimensional structural Magnetic Resonance (MR) brain images plays an important role in measuring loss of cortical tissues for disorders such as Alzheimer's disease (AD). U-Net, a ... -
Assessing the Feasibility of Predictive Modeling for HFE- Hereditary Hemochromatosis using Electronic Health Records
Secondary use of electronic health records allows researchers the opportunity to test hypothe ses and gain new insights on complex disease phenotypes. Hereditary hemochromatosis is an inherited autosomal recessive disorder ... -
The Use of Inter-Clinician Variation in Measuring Healthcare Performance
To monitor and improve healthcare in the US, providers are required to report healthcare measures as part of regulatory and compensatory systems. However, there are growing concerns that the collection and reporting of ... -
A Mixed-Methods Approach to Exploring Engagement in MoodTech: An Online CBT Intervention for Older Adults with Depression
In recent years, online cognitive behavioral therapy (CBT) interventions have played an increasing role in treating late-life depression. Previous studies have reported that online CBT interventions can be effective in ... -
Evaluating Different Approaches to Simplifying Data Access for Clinical Users
Researchers have difficulty in accessing health care data for multiple different reasons. Although some technologies, like i2b2, have been developed and evaluated to overcome these difficulties, limitations and challenges ... -
Understanding the practical utility of using the analytic potential of patient data in Identifying High-cost patients
It is widely known that the minority of patients make up the majority of healthcare costs. Research being done aims at identifying these patients through predictive modeling. In the hopes that providing targeted resources ... -
mPower Voice Activity Monitoring and Classification for Parkinson’s Diagnosis
Background: Parkinson’s disease patients’ voice data collected via the mPower application can be classified into three groups: Just after taking medication (at their best condition), Immediately before taking medication ... -
Understanding Context of Use and Perceptions of Usability of Cosegregation Analysis Tool AnalyzeMyVariant
Calculating the genetic risk for a disease with allelic variants of unknown significance can be a complicated task. AnalyzeMyVariant is a tool designed for genetics experts that uses pedigree data from families with genetic ... -
Identification of Physicians and EHR User Types
In recent years, the adoption and meaningful use of Electronic Health Records (EHRs) have undergone several promotions by governmental acts and incentive programs, with the promise of plenty of benefits. One of the most ... -
Understanding Patient and Caregiver Work to Support Health Care System Reliability and Quality
Patients and their families face many challenges navigating and managing their care within hospitals and other healthcare environments. Outside of the stress and anxiety linked to a health crisis, patient and their families ... -
Extraction of Clinical Timeline from Discharge Summaries using Neural Networks
Discharge summaries are a concise representation of the most important bits of information about a patient’s time in the hospital. Converting the free-text into a clinical timeline can facilitate accurate assimilation of ... -
Forecasting Medical Patient Length of Stay at Presentation in an Emergency Department Using Machine Learning
Emergency Department (ED) overcrowding has become common across the globe. Among many proposed measures, ED length of stay (LOS) remains the most commonly reported outcome resulting from overcrowding. Predicting patients’ ... -
Using personal health records to promote patient activation in the homebound older adult population
Patient activation, or an individual’s willingness and ability to take actions to maintain their health and wellness, is a primary component of the patient-centered health system. Activated patients are more likely to ...
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