Browsing Biomedical and health informatics by Title
Now showing items 81-100 of 100
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Temporal Data Mining in Electronic Medical Records from Patients with Acute Coronary Syndrome
(2014-02-24)Every 25 seconds someone in the US has a cardiac event and one person per minute will die from it. ST-elevated myocardial infarction (STEMI), non ST-elevated myocardial infarction and unstable angina are caused by ischemia ... -
Text Mining with Deep Learning for Secondary Use In Radiology
For more than a decade, electronic health records (EHR) have been used extensively in biomedical research. However, structured data, such as diagnoses and procedural codes do not necessarily capture the most precise medical ... -
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 ... -
The Untold Story of Predicting Readmissions for Heart Failure Patients
The availability and accessibility of Electronic Health Record (EHR) data create an opportunity for researchers to revolutionize healthcare. The recognition of the importance of secondary use of EHR data has led to the ... -
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 ... -
The Use of Natural Language Processing and Machine Learning for Early Diagnosis of Lung and Ovarian Cancer
Cancer is a serious diagnosis and diagnostic delay is correlated with reductions in survivalrates following treatment. For many cancers, providers can only rely on symptoms and signs to diagnose patients. These details ... -
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 ... -
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 ... -
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 ... -
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 ... -
Understanding the differences in cognitively defined subgroups in Alzheimer's disease: A data science approach
My work connects two types of data in Alzheimer’s Disease (AD): structural MRI data from Alzheimer’s Disease Neuroimaging Initiative (ADNI) and cognition data in the form of AD subgroups. The subgroups (AD-Executive, ... -
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 ... -
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 ... -
Using Network-based Modeling to Implement Strategies for Reducing HIV Drug Resistance
Mathematical models have evolved to capture epidemiological and infectious disease data and complex relationships between the disease, host, and environment. Infectious disease and epidemic models serve as ethical approaches ... -
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 ... -
Using Smart Watches to Facilitate High Quality Cardiopulmonary Resuscitation for Patients with Cardiac Arrest
Survival rates for victims of cardiac arrest remain poor worldwide despite medical advancement and technology development. Chest compression quality has been considered the key for patient survival during cardiopulmonary ... -
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 ... -
Using user-centered design to unburden genetic analyses for novice genomic researchers
Increasingly larger genomic databases have allowed for more robust genetic analyses,leading to advances in bioinformatics, translational medicine, and, ultimately, improving patient care. However, the current landscape ... -
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 ... -
What Difference Does a Form Make: Redesign and Evaluation of a Form for Documenting In-Hospital Cardiac Arrest
(2013-07-23)The real-time documentation of medications and procedures is an essential part of managing patient care during in-hospital "code blue" cardiac arrest emergencies. Care providers have voiced dissatisfaction with the existing ...