Analytics in Action News

Machine Learning Limited When Applied to Clinical Data Registries

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When applied to a clinical data registry, machine learning algorithms showed no significant improvement in predicting adverse outcomes after an acute myocardial infarction (AMI), a study published in...

Machine Learning System Uses Smart Speakers to Monitor Heartbeat

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Using smart speakers and machine learning algorithms, researchers from University of Washington (UW) have developed a way to monitor both regular and irregular heartbeats without physical contact. In...

AI Method Facilitates Collaboration While Protecting Data Privacy

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A new approach could help researchers build high-quality artificial intelligence algorithms while protecting patient data privacy, accelerating model development and innovation, according to a study...

Artificial Intelligence Predicts Atrial Fibrillation, Stroke Risk

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Artificial intelligence can analyze electrical signals from the heart to predict which patients are at high risk of atrial fibrillation (AF) and stroke, according to a study published in...

Machine Learning Reveals Traits of High Mental Health Utilizers

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After applying machine learning to EHR data, researchers found that dropping out of high school, having schizophrenia, or being diagnosed with a co-occurring personality disorder increases the...

Machine Learning Shows Social Media Greatly Affects COVID-19 Beliefs

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Using machine learning, researchers found that people’s biases about COVID-19 and its treatments are exacerbated when they read tweets from other users, a study published in JMIR showed. The...

Data Analytics Model Accurately Determines Impact of Cancer Drugs

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Using a new data analytics approach, researchers could enhance cancer drug response predictions by accounting for overlooked variation across and within cancer types, a study published in PLOS...

Predictive Analytics Tool Forecasts Post-Surgical Complications

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Researchers at Thomas Jefferson University have developed a predictive analytics tool that can forecast the risk of post-surgical complications, helping providers to deliver more proactive, preventive...

Majority of COVID-19 Hospitalizations Due to 4 Chronic Diseases

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Obesity, hypertension, diabetes, and heart failure are the chronic diseases that contribute to a majority of adult COVID-19 hospitalizations across the country, a study published in the Journal of the...

Machine Learning Detects Biomarkers of Autism Spectrum Disorder

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Machine learning tools analyzed hundreds of proteins and identified blood biomarkers that could speed the diagnosis of autism spectrum disorder (ASD), according to a study published in PLOS One. ASD...

Data Analytics Model Gauges False-Negative Rate for COVID-19 Tests

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A data analytics model could help researchers evaluate the false-negative rate of COVID-19 tests by comparing the sensitivity of different viral DNA test kits, according to a study published in...

Deep Learning Can Help Guide Lung Cancer Treatment Decisions

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A deep learning tool was able to accurately predict survival expectancy in patients with lung cancer, potentially leading to more informed care decisions by providers, according to a study published in...

Framework Enables Real-Time Data Analytics During Pandemic

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Scientists at the National Energy Research Scientific Computing Center (NERSC) at Lawrence Berkeley National Laboratory and the Linac Coherent Light Source (LCLS) at SLAC National Accelerator...

Health Providers Partner to Create Big Data Analytics Platform

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Fourteen leading healthcare providers are partnering to form Truveta, a new company that will leverage big data analytics for enhanced care insights. Providers involved in the effort include...

Machine Learning Identifies Existing Drugs to Treat COVID-19

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Machine learning could help detect existing drugs that could help fight COVID-19, particularly in elderly populations, a study published in Nature Communications revealed. One of the many major...

Building a Predictive Analytics Tool to Triage COVID-19 Patients

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Of the many truths brought to light during the pandemic, the importance of providers’ voices is among the most consequential. The experiences and daily operations of frontline healthcare workers...

Machine Learning Tool Predicts Mortality During Transfers of Care

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Researchers at UPMC and the University of Pittsburgh School of Medicine have leveraged machine learning to develop a tool that predicts mortality for patients facing transfer between hospitals in order...

How Data Analytics Can Help Manage Intensive Care Unit Capacity

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Data analytics tools have proven to be valuable assets in several areas of healthcare. From disease detection to workflow optimization, advanced analytics solutions have the potential to increase care...

Machine Learning Model Shows Higher COVID-19 Cases Than Reported

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Since the pandemic began, experts have looked to daily counts of laboratory-confirmed COVID-19 cases and deaths in an effort to contain the virus. Now, a machine learning algorithm has revealed that...

AI, EHR Data Can Help Predict COVID-19 Outcomes, Mortality

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Artificial intelligence could help identify factors in EHR data that are predictive of poor COVID-19 outcomes and mortality, according to a study published in npj Digital Medicine. The vast amount of...