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الاتحاد
Machine learning assesses asthma risk
A clinical study in the United States has shown that a machine learning-based tool, known as the "Negative Digital Index," helps doctors more accurately assess the risk of children developing chronic asthma. The tool relies on analyzing pre-recorded data in electronic health records, including respiratory symptoms, allergies, and family history, without the need for additional tests. It improved predictive accuracy to 83%, compared to 61% with traditional assessment methods. The tool aims to support clinical decision-making and enhance pediatric care, although the study's results were based on a limited number of cases, indicating that further research is needed to confirm its effectiveness in routine clinical practice.
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