RSS 1.0Informatics Institute (MU)
Building on a tradition of outstanding informatics education and research at Missouri, the MU Informatics Institute (MUII) is an interdisciplinary research and education program supported by 44 core faculty members from 17 departments and 8 colleges/schools, such as the College of Engineering, School of Medicine, Sinclair School of Nursing, College of Arts and Sciences, College of Agriculture, Food & Natural Resources, School of Health Professionals, and the College of Education.--Website (December 23, 2014)
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A case-control based genomic analysis of Chronic Obstructive Pulmonary Disease
(University of Missouri--Columbia, 2023)Chronic Obstructive Pulmonary Disease is a respiratory illness that affects a large number of people all over the world. It is a major cause of chronic morbidity and mortality and a serious global public health problem. ... -
A study to reduce the number of preventable emergency visits at community level
(University of Missouri--Columbia, 2023)Introduction: Emergency Department overcrowding is a worldwide issue. The impact of increased unnecessary and preventable emergency visits in hospitals leads to reduced quality of care, inability to care for critically ill ... -
Design and implementation of serverless architecture for i2b2 on AWS cloud and Snowflake data warehouse
(University of Missouri--Columbia, 2023)Informatics for Integrating Biology and the Beside (i2b2) is an open-source medical tool for cohort discovery that allows researchers to explore and query clinical data. The i2b2 platform is designed to adopt any patient-centric ... -
Explainable artificial intelligence to stratify pan-cancer patients for immune checkpoint inhibitor decision making
(University of Missouri--Columbia, 2022)[EMBARGOED UNTIL 12/1/2023] Immune checkpoints are a normal part of the immune system. It engages when proteins on the surface of immune cells called T cells recognize and bind to partner proteins on other cells, such as ... -
Accelerating data-driven discover in type 1 diabetes: an informatics-based approach
(University of Missouri--Columbia, 2022)[EMBARGOED UNTIL 12/1/2023] Type 1 diabetes (T1D) is a lifelong chronic disease characterized by the absolute or near-absolute loss of insulin. For affected individuals, management of T1D is an unremitting challenge that ... -
Assessing variance in inpatient hospitalization rates for three major chronic conditions
(University of Missouri--Columbia, 2022)Introduction: A chronic condition is broadly defined as a health condition lasting one or more years that requires relatively consistent medical attention and/or imposes limitations on tasks and activities considered part ... -
Demographic and trend analysis of COVID-19 test results of Boone County, Missouri
(University of Missouri--Columbia, 2022)The COVID-19 pandemic has had a deep influence on American life. However, the burden of the COVID-19 pandemic has not been distributed equally among members of a population based on their demographic features. The purpose ... -
Program evaluation dashboard design and development for Missouri telehealth network show-me echo program
(University of Missouri--Columbia, 2022)Background: The Show-Me ECHO Program is a state funded telehealth project, established in 2014, that connects interdisciplinary teams of experts with rural and isolated primary care providers (PCPs) and other professionals ... -
Identification of trends in racial/ethnic disparities of patients with diabtes mellitus using web-based tableau dashboard- a cross sectional study
(University of Missouri--Columbia, 2021)Many ways of creating data visualizations using the Business Intelligence tools have been implemented and new ways are continuously evolving. In this project, I have used Tableau Public software to analyze the trends of ... -
Comparison of simple moving average and arima timeseries forecasting models on independent historic data and extrapolating echo program attendance
(University of Missouri--Columbia, 2021)Background: The Extension of Community Healthcare Outcome program (ECHO) is an educational and training telemedicine service that provides voluntary case-based learning opportunities for healthcare professionals. Prediction ... -
Evaluation of machine learning algorithms for prediction of 5-year survivability for seven types of cancers
(University of Missouri--Columbia, 2020)A lot of research on prediction of cancer survivability has been done by implementing various machine learning models and it has always been a challenging task. In this project, the main focus is to perform a comprehensive ... -
Use of patient generated health data in ischemic heart disease
(University of Missouri--Columbia, 2019)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI--COLUMBIA AT REQUEST OF AUTHOR.] Health care technologies are constantly being improved to provide the best care for the patients. Health care services around the world is ... -
Comparative machine learning approach for biomarker identification using multiomics data from patients with endometriosis
(University of Missouri--Columbia, 2019)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Endometriosis is a complex and common gynecological disorder yet a poorly understood disease affecting about 176 million women worldwide, and causing ... -
An assessment of medication pattern changes in prescription received by youth offenders in divison of youth services facilities through telepsychiatry
(University of Missouri--Columbia, 2018)The prevalence of mental health disorders is much higher in juvenile justice system than in youth in general population. Two-third of the youths under juvenile justice system suffer from one or more diagnosable mental ... -
Analysis of the information needs of primary care physicians in an electronic health record (EHR)
(University of Missouri--Columbia, 2012)BACKGROUND: With the increase in the adoption of electronic health records (EHR) across the US, clinicians are experiencing information overload. In order to address the problem of information overload, an assessment of ... -
A novel and dynamic prediction engine for practicing precision medicine to prevent chemotherapy-induced nausea and vomiting
(University of Missouri--Columbia, 2015)Cancer remains the second major cause of death in the United States over the last decade. Chemotherapy is a core component of nearly every cancer treatment plan. Chemotherapy-Induced Nausea and Vomiting (CINV) are the two ... -
Measuring the speed and efficacy of clinical decision-making when comparing two different data visualizations for medications
(University of Missouri--Columbia, 2016)Background: The percentage of patients with polypharmacy needs is increasing among a growing patient population. As a result, the amount of time health care professionals require to make clinical decisions based on current ... -
Determining the impact of usability issues of primary care physicians by expertise when using an electronic health record
(University of Missouri--Columbia, 2015)Background: EHRs with poor usability present steep learning curves for new resident physicians, who are already overwhelmed in learning a new specialty. This may lead to error prone use of EHR in medical practice by new ... -
Analyzing high-throughput genomics data for cancer studies
(University of Missouri--Columbia, 2015)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] NGS data output has increased at a rate that outpaces Moore's law, more than doubling each year since it was invented. Studying such high-throughput ... -
Studying macromolecular interactions on the large scale : a bioinformatics approach
(University of Missouri--Columbia, 2014)[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Characterization of macromolecular interactions is not only critical for understanding how macromolecules perform their biological functions, such as ...