Leveraging Data Science in Predicting and Preventing Child Health Issues

Abstract
Data science and analytics are revolutionizing healthcare by providing insights into disease prevention and early intervention. This paper investigates the use of data science in predicting and preventing child health issues, such as respiratory diseases, allergies, and infectious diseases. By analyzing large datasets from healthcare providers and tracking environmental factors, the paper demonstrates how data science can predict health trends, identify risk factors, and inform public health policies for children.
 
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How to Cite

Jack Harrison Scott & Oliver Henry Carter (2023). Leveraging Data Science in Predicting and Preventing Child Health Issues. Proceeding International Conference Of Innovation Science, Technology, Education, Children And Health, 3(1). https://doi.org/10.62951/icistech.v3i1.155

Jack Harrison Scott; Oliver Henry Carter, "Leveraging Data Science in Predicting and Preventing Child Health Issues," Proceeding International Conference Of Innovation Science, Technology, Education, Children And Health, vol. 3, no. 1, 2023.

Jack Harrison Scott; Oliver Henry Carter. "Leveraging Data Science in Predicting and Preventing Child Health Issues." Proceeding International Conference Of Innovation Science, Technology, Education, Children And Health, vol. 3, no. 1, 2023.

Jack Harrison Scott; Oliver Henry Carter. "Leveraging Data Science in Predicting and Preventing Child Health Issues." Proceeding International Conference Of Innovation Science, Technology, Education, Children And Health 3, no. 1 (2023).

Jack Harrison Scott & Oliver Henry Carter (2023) 'Leveraging Data Science in Predicting and Preventing Child Health Issues', Proceeding International Conference Of Innovation Science, Technology, Education, Children And Health, 3(1). doi: 10.62951/icistech.v3i1.155.

Jack Harrison Scott; Oliver Henry Carter. Leveraging Data Science in Predicting and Preventing Child Health Issues. Proceeding International Conference Of Innovation Science, Technology, Education, Children And Health. 2023;3(1).

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