Use of AI and ML in health related studies
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Geoinformatics is increasingly integrating Artificial Intelligence (AI) and Machine Learning (ML) to enhance health-related studies by providing spatial insights into disease patterns, healthcare accessibility, and environmental health risks. AI and ML algorithms can process large volumes of geospatial and health data, identifying correlations between environmental factors and disease outbreaks. For instance, predictive models use climatic, demographic, and land-use data to forecast the spread of vector-borne diseases like malaria, dengue, and Zika, allowing timely
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