A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This evolution unites physical and cyber domains, improves situational awareness, and ...
We’ve got something a little different in store for you today. Joining me on this week’s episode brought to you by SurePoint Ag, is our very own Technology Editor Noah Newman who is our editorial lead ...
Fraud and money laundering continue to impose significant burdens on financial institutions, with indirect costs often far surpassing direct monetary losses. In North America alone, every dollar lost ...
In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.
Internal iliac and obturator lymph nodes are common sites of metastasis in rectal cancer. This study developed a machine learning (ML) model using clinical data to predict lymph node metastasis and ...
Introduction: Stroke remains one of the leading causes of global mortality and long-term disability, driving the urgent need for accurate and early risk prediction tools. Traditional models such as ...
ABSTRACT: Accurately predicting individual responses to antidepressant treatment is a critical step toward achieving personalized psychiatry and minimizing the ...
Abstract: Stroke prediction is an essential challenge in health-care, where the timely identification of at-risk individuals can considerably improve patient outcomes and reduce long-term disabilities ...
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