Browsing Biomedical and health informatics by Title
Now showing items 20-39 of 76
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Design, Development, and Evaluation of a Patient-Centered Health Dialog System to Support Inguinal Hernia Surgery Patient Information-Seeking
Surgery patients engage in health information-seeking activities to better understand their health conditions. An example of this activity is patients collecting data outside of the hospital to track their surgery recovery. ... -
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 ... -
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 ... -
Developing and Evaluating a Prototype Communicable Disease Web-based Clinical Reporting Tool
Reporting reportable diseases within a timeframe is considered a cornerstone of any public health surveillance system. The purpose of surveillance is to empower decision makers to act by providing timely and accurate data. ... -
Development and Evaluation of a Web-based Electronic Medical Record System Without Borders
(2013-04-17)Despite implementation of electronic medical record (EMR) systems in the United States and other countries, EMRs often lack global access, standardization, an efficient interface, and effective knowledge-based tools at the ... -
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 ... -
Enhancing Secondary-use of Electronic Health Records for Geospatial-temporal Population Health Research
For almost three decades, the United States Department of Human and Health Services, Center for Disease Control, and the World Health Organization have recognized the role of social and environmental determinants of health ... -
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 ... -
Evaluation of a Computer-Based System using Cell Phones for HIV positive people in Peru
(2012-09-13)HIV is one of the biggest infectious killers worldwide. To prevent disease progression and avoid development of resistant strains to HIV, people living with HIV must adhere to complicated antiretroviral therapy (ART). Yet, ... -
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. ... -
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 ... -
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 ... -
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 ... -
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’ ... -
A Graph-Theoretic Approach to Model Genomic Data and Identify Biological Modules Asscociated with Cancer Outcomes
(2013-07-25)Studies of the genetic basis of complex disease present statistical and methodological challenges in the discovery of reliable and high-confidence genes that reveal biological phenomena underlying the etiology of disease ... -
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 ... -
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 ... -
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, ... -
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 ... -
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 ...