Information Extraction Framework for Facilitating the Assessment of the Quality of Radiology Interpretations
Assessing the quality of imaging interpretations requires that the results of radiological interpretations be compared with those of subsequent surgical-pathology results, when available. The manual process is inherently slow, tedious and expensive, and unless systematic errors occur in the interpretations,…
Abnormal liver function and adverse health outcomes in COVID-19: A multicenter, retrospective analysis of 14,872 patients from the Cerner Real-World DataTM de-identified COVID-19 cohort
Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has been associated with liver impairment and abnormalities in liver function tests. However, associations between hepatic impairment and patient health outcomes have not been well-studied in large cohorts. In…
Purdue’s New Plant Sensor Technologies for Improved Phenotyping Quality
Plant phenotyping technologies have been developing rapidly over the last 2 decades. Plant sensors are becoming more precise, faster, easier to use and with lower cost. However, there are still several bottleneck issues in plant sensing, including the changing environmental…
Thyroid Cancer Informatics
Survival prediction is important both to clinicians and patients; ensuring the best course of treatment is selected to manage the thyroid cancer. In 2018, there was an estimated half a million new thyroid cancer diagnoses and 41,071 deaths. Unlike other tumors whose…
A Case-Control based Genomic Analysis of Chronic Obstructive Pulmonary Disease
Chronic Obstructive Pulmonary Disease (COPD) is a respiratory illness that affects millions of people all over the world. It is a major cause of chronic morbidity and mortality and a serious global public health problem. COPD is the fourth leading…
Methods for Measuring Geodiversity in Large Overhead Imagery Datasets
This research introduces some of the first geo-computational methods to address a key gap in the artificial intelligence (AI) and big data literature as it relates to the geosciences and remote sensing: the lack of understanding of the global feature…
Teaching Professor Faculty Positions in Data Science and Analytics
Description: The University of Missouri (MU) Institute for Data Science and Informatics (IDSI) is accepting applications for multiple positions of Teaching Professor (Assistant and Associate levels) of Data Science and Analytics. In today’s information-centric world, data are becoming increasingly important…
The Genescape Allele Catalog Development for Precise Identification of Causative SNPs
Next-generation sequencing (NGS) has become more popular in the modern-day. Large amounts of next-generation resequencing data have been generated and are available online for various organisms including soybeans. However, current genome-wide association study (GWAS) prediction tools simply identify the most…
Building a Population-based Childhood Cancer Data Ecosystem: Challenges and Opportunities for Informatics and Data Science
Childhood cancer is a relatively rare disease diagnosed in over 16,000 U.S. children and adolescents (ages 0 – 19) each year. While 84% of children with cancer survive 5 years or more, cancer remains the second leading cause of death in…