首页|Research from School of Computer Science and Engineering Provide New Insights in to Machine Learning (Statistical Insights Into Machine Learning-Based Box Models for Pregnancy Care and Maternal Mortality Reduction: A Literature Survey)
Research from School of Computer Science and Engineering Provide New Insights in to Machine Learning (Statistical Insights Into Machine Learning-Based Box Models for Pregnancy Care and Maternal Mortality Reduction: A Literature Survey)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news reporting out of Tamil Nadu, India, by NewsRx editors, research stated, “Maternal mortality is a major public health co ncern worldwide.” The news journalists obtained a quote from the research from School of Computer Science and Engineering: “It is the number of preventable deaths that occur each year due to pregnancy and childbirth. The research investigates how machine lea rning may be used to minimize maternal mortality. Historical data on maternal he alth is used to develop predictive models, early detection systems, and resource allocation techniques. Machine learning helps to identify risk factors, monitor vital signs, and improve access to care. This allows for targeted interventions and better healthcare delivery. The challenges of data accessibility and model interpretation are addressed, highlighting the ethical and equitable application s of machine learning in maternal healthcare.”
School of Computer Science and Engineeri ngTamil NaduIndiaAsiaCyborgsEmerging TechnologiesMachine LearningR isk and Prevention
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