Biomedical and health informatics
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Designing and Evaluating a Patient-Driven Application for Patients with Primary Brain Tumors
From the time of diagnosis through treatment and follow-up, patients with primary brain tumors and their caregivers face a multitude of challenges and uncertainties. Many of these challenges and uncertainties have been ... -
A Knowledge-based System for Intelligent Support in Pharmacogenomics Evidence Assessment: Ontology-driven Evidence Representation, Retrieval, Classification and Interpretation
Pharmacogenomics is the study of how genetic variants affect a person’s response to a drug. With great advances to date, pharmacogenomics holds promise as one of the approaches to precision medicine. Yet, the use of ... -
Approaches and Strategy for Cancer Research and Surveillance Data: Integration, Information Pipeline, Data Models, and Informatics Opportunities
The advancement of cancer research, patient care and public health currently rely on acquisition of data from a variety of sources, information-processing activities, and timely access to data that is of acceptable quality ... -
Open-Source Computerized Patient-Reported Outcomes: Case Studies Illustrating Fifteen Years of Evolution
Over a fifteen year period, Patient Reported Outcomes ("PRO") applications to support over forty clinical and research projects have driven the evolution of an open-source computerized PRO system ("cPRO", http://cprohealth.org). ... -
Clinical Phenotyping in the Prediction of Pediatric Acute Kidney Injury
Predicting pediatric acute kidney injury is a difficult but important task. Accurate prediction would allow preventative measures to be taken before kidney injury occurs, decreasing the morbidity and mortality associated ... -
Information extraction from clinical and radiology notes for liver cancer staging
Medical practice involves an astonishing amount of variation across individual clinicians, departments, and institutions. Adding to this condition, with the exponential pace of new discoveries in biomedical research, ... -
Reconfiguring the Everyday: Understanding, Designing, and Supporting Chronic Illness Management
From taking medications at the right time to emotionally dealing with their symptoms, patients who have a chronic illness must manage many facets of their illness. Today, patients often utilize different types of general-purpose ... -
Enhancing Health Information-Gathering Experiences in Online Health Communities
Online health communities can offer a range of diverse personal health expertise and experiences, yet gathering relevant health information is a significant challenge for members and researchers as each party faces different ... -
NGSdb: A NGS Data Management and Analysis Platform for Comparative Genomics
As researchers continue to expand the volume of Next Generation Sequencing data, the ability to store and query the data becomes increasingly important. The current approach of using spreadsheets has become too complex and ... -
Design recommendations for Pharmacogenomics Clinical Decision Support Systems
The use of pharmacogenomics (PGx)in clinical practice is still facing several challenges in reaching full adoption. PGx is an emerging field that aims to deploy genetic information to target drug therapy. To incorporate ... -
Bayesian networks from ontological formalisms in radiation oncology
Bayesian networks (BNs) are compact, powerful representations of probabilistic knowledge well suited to applications of reasoning under uncertainty in medical domains. Traditional development of BN topology requires that ... -
Designing Wellness Tools for and with Older Adults
Over the past few decades, the use of new technologies such as computing and internet technology, has expanded rapidly. The emergence of these new technologies has created opportunities for health related uses. With the ... -
Patient-Centered Development and Evaluation of a Mobile Wound Tracking Tool
Surgical site infections (SSI) are a common, costly and serious problem following surgery, affecting at least 500,000 people annually. Most infections now occur after hospital discharge, placing the burden of recognizing ... -
Using Technology to Engage People with Dementia in Recreational Activities
Dementia is estimated to currently affect almost 15% of US adults over the age of 70. As the population ages, the prevalence of dementia will increase proportionally. The increase in the number of people with dementia will ... -
Examining the Feasibility and Acceptability of a Fall Detection Device
Falls are an incredibly complex problem in people over the age of 65 with a third of older adults falling at least once each year. This problem is ever increasing as the population of older adults continues to grow rapidly. ... -
Visual Analytics Methods for Analyzing Molecular Dynamics Simulations of Mutant Proteins
The structural dynamics of proteins are integral to protein function; if these structural dynamics are altered by mutation, the function of the protein can be altered as well, potentially resulting in disease. Experimental ... -
Reproducibility in human cognitive neuroimaging: a community-driven data sharing framework for provenance information integration and interoperability
Access to primary data and the provenance of derived data are increasingly recognized as an essential aspect of reproducibility in biomedical research. While productive data sharing has become the norm in some biomedical ... -
Understanding and communicating spatially-oriented ontologies
Ontologies have become increasingly important for both representation of biomedical knowledge and for using that knowledge to facilitate data integration. However, ontologies are generally not presented in ways that are ... -
Design and Evaluation of Health Visualizations for Older Adults
Older adults, those 60 years and above, represent the quickest growing demographic group in the United States. Additionally, health related changes associated with aging make this population one of the primary consumers ... -
Feature Engineering for 3D Medical Image Applications
Feature engineering, including input representation, feature design, evaluation, and optimization, is essential to success in machine learning. For unstructured data like images and texts, feature engineering can often ...
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