A team from UVA Health has developed a predictive analytics tool that can determine COVID-19 patients’ risk of experiencing an adverse event over the next 12 hours.
The tool, called CoMET, uses...
Throughout the COVID-19 pandemic, predictive analytics have helped healthcare organizations plan for surges in patients, allocate necessary resources, and anticipate which populations would be at...
Artificial intelligence can analyze pre-operative MRI scans to predict patient outcomes following prostate cancer surgery, a study published in EBioMedicine.
A critical factor in managing prostate...
A new early warning system can fill in gaps in infectious disease surveillance and forecast the spread of influenza using predictive analytics, according to a study published in Nature...
Data from sites like Facebook and Twitter can reveal a lot about someone’s behavioral health. Past studies have shown that social media activity can predict a person’s demographic...
Using predictive analytics, researchers were able to accurately identify COVID-19 patients at risk of quickly deteriorating up to 24 hours in advance, a study published in British Journal of...
Using genetic data from diverse populations could help researchers develop better risk prediction scores for inflammatory bowel diseases, such as Crohn’s disease and ulcerative colitis, according...
The end of 2020 marks the conclusion of one of the most formidable years the healthcare industry has seen in recent memory.
The COVID-19 pandemic brought new challenges with it, while also shining a...
As colleges begin to develop strategies to control COVID-19 cases during the spring semester, researchers are leveraging data analytics models to determine which methods will be most...
In the US, the dawn of winter has meant a surge of COVID-19 infections. Daily rates of new infections have jumped significantly since March, and the country recently surpassed 17 million confirmed...
Researchers at The Ohio State University Wexner Medical Center are creating a precision medicine method to determine patients’ genetic risk of developing glaucoma, with the goal of reducing...
A deep learning algorithm accurately identified allergic reactions in hospital patient safety reports, which could help providers avoid medical errors and improve event surveillance, according to a...
Researchers from UCLA Fielding School of Public Health have identified high-risk population groups in California during the COVID-19 pandemic using demographic data analytics.
For more coronavirus...
A predictive analytics platform was able to accurately determine the probability of death or need for critical care within seven days for emergency department patients with COVID-19 symptoms, according...
Predictive analytics could help providers determine a hospitalized patient’s overnight stability, allowing patients to rest and recover faster, according to a study published in Nature Partner...
A machine learning algorithm accurately determined how well skin cancer patients would respond to tumor-suppressing drugs in four out of five cases, according to research conducted by a team from NYU...
Predictive analytics tools could help providers identify infants at risk of developing neonatal abstinence syndrome (NAS) after being exposed to opioids during pregnancy, potentially reducing hospital...
Using a predictive analytics tool, researchers from the University of California, Irvine (UCI) were able to discover previously undetected genes that drive cancer progression, according to a study...
A real-time clinical decision support system issues alerts to specially trained nurses when patients are at risk of deteriorating, potentially leading to lower mortality rates, according to a study...
A predictive analytics model examined human mobility patterns in major cities across the US and revealed that non-residential locations – such as restaurants, gyms, and cafes – account for...
