Biomedical and health informatics
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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 ... -
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 ... -
Creating a Smartphone Application for Image-Assisted Dietary Assessment among Older Adults with Type 2 Diabetes
In the United States, the population of those aged 65 or over numbered 44.7 million in 2013 and is anticipated to reach approximately 74 million people by 2030. More than one in four people in the United States aged 65 ... -
User-Centered Design of a Collaborative Genetic Variant Interpretation Tool
Precision genomic medicine relies upon accurate variant knowledge. However, laboratories continue to arrive at discordant interpretations for the same genomic test. Gaps, inconsistencies, and siloing of variant knowledge ... -
RNA-seq generates new insights into Leishmania differentiation
Leishmania donovani, an intracellular parasitic trypanosomatid, causes kala-azar, a fatal form of visceral leishmaniasis in humans. Infection occurs through a cycle whereby parasites (promastigote stage) living in the ... -
A Systems Biology Approach to Characterizing Gene Fusion Pathways in Cancer
Gene fusions have long been known to drive cancer. Initial discovery of gene fusions was opportunistic, and functional assessment was done individually and experimentally. There is no comprehensive systems biology approach ... -
Qualitative Assessment of Hot Debriefs for Code Teams at Seattle Children’s Hospital
Seattle Children’s Hospital recently implemented ‘hot debriefs’ for code teams that respond to cardiac or respiratory resuscitation code events. Hot debriefs are meetings immediately after the code event where the code ... -
A Bayesian Network Model of Head and Neck Squamous Cell Carcinoma Incorporating Gene Expression Profiles
Radiation therapy is a treatment for metastatic Head and Neck Squamous Cell Carcinoma, which allows precision targeting of certain groups of lymph nodes. A Bayesian network predictive model was developed aiming to help ... -
Leaf2Tableau: from Clinical Data to Clinical Knowledge Discovery
Leaf2Tableau, a self-service and real-time clinical data visualization pipeline, is designed and developed to handle data visualization requests for queries developed in Leaf, a clinical data explorer developed by University ... -
Predicting Cancer Outcome with Multispectral Tumor Tissue Images
Tumor tissue slides have been used by clinicians to assess cancer patient’s condition and indicate prognosis. Several recent studies have suggested that distribution of important immunological biomarkers on tumor tissue ...
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