Abstract: Asthma, a prevalent chronic respiratory condition, poses significant challenges to public health worldwide. Accurate and early prediction of asthma risk can greatly aid healthcare ...
After generative AI -- the type of AI that's now being rapidly adopted -- the next big AI technological leap will be to artificial general intelligence (AGI) and then perhaps to artificial ...
A new machine learning model developed by The George Institute for Global Health can successfully predict heart disease risk in women by analyzing mammograms. The findings were published today in ...
Abstract: Utilizing a novel super vector machine algorithm to forecast rainfall efficiency and comparing the accuracy of the predictions with a logistic regression algorithm. Using machine learning ...
ABSTRACT: This paper aims to investigate the effectiveness of logistic regression and discriminant analysis in predicting diabetes in patients using a diabetes dataset. Additionally, the paper ...
Dirty fuels could be on their way out sooner than we think. As the cost of renewable technologies continues to drop, the United Nations secretary-general believes a society powered by sustainable ...
Dr. James McCaffrey presents a complete end-to-end demonstration of k-nearest neighbors regression using JavaScript. There are many machine learning regression techniques, but k-nearest neighbors is ...
Every once in a while Mike Tannenbaum will throw out something on ESPN that reminds you why he's no longer a GM in the NFL. Today was one of those days. During a segment on "Get Up" this morning, the ...
Abstract and Introduction Prevalence Diagnosing GERD in Asthmatics Management of Reflux-Triggered Asthma References Ravinder P. S. Makkar, MBBS, MD, Medical Advisor, Department of Medical Assistance, ...
Aaron Rodgers finally put pen to paper and agreed to a deal with the Pittsburgh Steelers last week as he looks for one final run to a Super Bowl title before he inevitably calls it quits. The schedule ...
Researchers at the Indiana University School of Medicine have developed a more accurate and cost-effective method to predict asthma diagnoses in children by using readily available electronic health ...
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