eCaregiving 2.0: Feasibility, Data Quality and Cost of Collecting Continuous Self-reported and Passive Data Using a Personal Health Management System

This project aims to demonstrate if self-reported and passive data can be continuously collected from a cohort of 55 study participants using Personal Health Management Information System (PHMS).  We estimated measures of data quality, feasibility and cost of data collection…

Immunogenomic Pathway and Survival Analysis in Colorectal Cancer Patients Based on Tumor Location and Microsatellite Status

Despite the advancement of available therapies (surgery, chemotherapy and immunotherapy, etc.), colorectal cancer (CRC) as the third most common cancer still remains the second leading cause of cancer-related death worldwide. Typically, CRC patients could be categorized into microsatellite stable (MSS,…

Income Inequality and Health: Expanding our Understanding of State Level Effects by using a Geospatial Big Data Approach

The income inequality hypothesis proposes that ecological income inequality is harmful for population health but findings from extant work are inconsistent across health outcomes and levels of geography. We contribute to this debate by applying a big data geospatial approach…

Using Deep learning method (CNN) for prediction of ubiquitination protein

Ubiquitination, as a post-translational modification, is a crucial biological process presented in cell signaling, death and localization. Identification of ubiquitination protein is of fundamental importance for understanding molecular mechanisms in biological systems and diseases. Although high-throughput experimental studies using mass…

Automation of Volumetric Analysis of Adiposity in Canines

Roughly 30-40% of all dogs and cats that are seen by a veterinarian can be classified as obese. Despite this, veterinary practices still utilize a 5 point or 9 point subjective classification system when classifying patients as obese, which can…

Effects of Pain Management Clinical Decision Support in an Inpatient Setting for Patients Experiencing Abdominal Pain

Disorganization of pain-management-related information in an EMR may limit clinicians’ ability to consider clinical factors comprehensively. A clinical decision support (CDS) system for pain management was developed and deployed at University of Missouri Healthcare.  CDS effects were examined for inpatients with diagnoses…

Using Social Network Analysis and Natural Language Processing to Describe Communication Practices of Interdisciplinary Teams in Primary Care

The Electronic Medical Record (EMR) serves different purposes including documentation of care and billing. One part of the EMR at the University of Missouri Hospital and Clinics is the Message Center. Many people, including healthcare providers, nurses, social workers, therapists,…

Seasonal Influenza Vaccine: Not easy shot to get

During the past nearly 50 years, antigenic variants of subtype H3N2 influenza A viruses have frequently emerged, causing significant public health challenges. The manner in which these variants emerge and their patterns of spread are not well understood. We identified…

REDESIGN: RDF-based Differential Signaling Framework for Precision Medicine Analytics

Pathway-based analysis holds promise to be instrumental in precision and personalized medicine analytics. However, the majority of pathway-based analysis methods utilize “fixed” or “rigid” data sets that limit their ability to account for complex biological inter-dependencies. Here, we present REDESIGN:…