Browsing Biomedical and health informatics by Title
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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 ... -
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 ... -
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 ... -
A New Perspective on Minimally Invasive Procedures: Exploring the Utility of a Novel Virtual Reality Endovascular Navigation System
Digital information is playing a larger role in the treatment of disease. Invasive procedures, such as open-heart surgery, have evolved into minimally invasive procedures that benefit from reduced trauma, scarring and ... -
A novel translational bioinformatics pipeline to improve precision medicine research
Diverse Mouse models can serve as precursors to precision medicine in clinical practice (Li & Auwerx, 2020) but requires the integration, analysis, and cross-species interpretation across multi-omics data sets. We present ... -
A Pilot Study to Understand Preferences for the Design of Social Media Dashboards Among Students in Health-Related Disciplines
Interactive data dashboards are effective tools that help researchers perform data analysis and identify patterns in large amounts of health-related social media data sets. However, people interested in using dashboards ... -
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 ... -
A Wireframe Representation of a Prototype Clinical Decision Support Tool For the Management of Cardiometabolic Disorder and Diabetes Type 2
This research developed a wireframe representation of a prototype Clinical Decision Support Tool that enables the comprehensive, efficient and efficacious management of patients with Cardiometabolic Disorder and Diabetes ... -
Acute Care Sepsis Prediction: Analyzing the Influence of Social and Behavioral Determinants
Within the hospital setting, sepsis is a leading cause of mortality, affecting more than 1.7 million adults annually. It is also present in about 30 to 50 percent of hospitalizations that end with death. Despite the high ... -
An Evaluation of the Insidious Consequences of Clinical Computing Infrastructure Failures at a Large Academic Medical Center
Electronic Health Records (EHRs) are intended to make healthcare delivery safer, more effective and accountable. They are complex socio-technical systems that are dependent on the proper functioning of many individual ... -
Applying Machine Learning and Application Development to Lower Back Pain and Genetic Medicine
Improvement of the healthcare system is a focal point for academic leaders. In recent years, precision medicine initiatives have gained traction as a solution to improve care by leveraging healthcare analytics and informatic ... -
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 ... -
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 ... -
Assessing the fitness for use of real-world electronic health records and log data with and without the application of privacy preserving technologies
Over the past decade, electronic health record (EHR) adoption has led to an explosion in the volume of electronic health record and log data, then efforts to effectively harness the potential of these data for knowledge ... -
Assessing the utility of digital health technology to improve our capacity to assess and intervene in depression
When it comes to mental health, no country is considered developed. In the last decade, the burden of mental health disorders (MHD) has risen in all countries due to disparities in timely diagnosis and access to evidence-based ... -
Automated Assessment of Social Cognition in People with a Schizophrenia Spectrum Disorder
Social cognitive deficits are core features of schizophrenia spectrum disorders (SSD) or schizophrenia, amongst other conditions. These deficits limit overall functioning, arguably the most important outcome when treating ... -
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 ... -
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. ... -
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 ... -
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 ...