predictive analytics Archives
Metabolic signatures of Type 2 diabetes risk
Oct. 24, 2022—Vanderbilt epidemiologists found 32 blood metabolites associated with obesity and showed that adding these to traditional disease prediction models improves accuracy of determining Type 2 diabetes risk.
Rheumatoid arthritis and heart disease: a common path
Aug. 25, 2022—An increase in certain antibodies in patients with rheumatoid arthritis can serve as a predictive biomarker for cardiovascular disease, Vanderbilt researchers have discovered.
AI predicts 24-hour hospital discharge
Nov. 16, 2021—Vanderbilt researchers used a machine learning algorithm and data from more than 26,000 hospital stays to predict who would and would not be discharged over the next 24 hours.
Artificial intelligence predicts opioid overdose in Tennessee
Oct. 19, 2021—Researchers at Vanderbilt and the Tennessee Department of Health have developed 30-day predictive models for fatal and non-fatal opioid-related overdose among patients receiving opioid prescriptions in the state.
For more precise drug treatments, ‘squeeze’ the genome: study finds
Jul. 22, 2021—Large-scale studies will be required to identify the complexity of genetic variations that affect how patients respond to a given drug and whether they will have side effects, according to researchers at Vanderbilt University Medical Center.
Vanderbilt team develops COVID-19 predictive model for Tennessee
Apr. 6, 2020—A team including health economists, epidemiologists and a biostatistician at Vanderbilt University Medical Center and Vanderbilt University are amassing and processing data to develop a complex predictive model of the spread of COVID-19 within Tennessee, with region-specific projections, as well as a model of projected resource use during response to the pandemic.
Predictive analytics help manage OR case volume
May. 2, 2019—To accommodate weekday and seasonal variations in case volume, continual adjustment of operating room resources is imperative. Unlike other health systems, at Vanderbilt Health the OR planning process taps into predictive analytics running automatically on the back of the OR scheduling system.