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All Journal Proceeding International Conference Of Innovation Science, Technology, Education, Children And Health Proceeding International Conference Of Innovation Science, Technology, Education, Children And Health
Oliver Henry Carter
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Computer Science & IT Education Engineering Public Health Social Sciences Other

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Leveraging Data Science in Predicting and Preventing Child Health Issues Jack Harrison Scott; Oliver Henry Carter
Proceeding International Conference Of Innovation Science, Technology, Education, Children And Health Vol. 3 No. 1 (2023): Proceeding of The International Conference of Inovation, Science, Technology, E
Publisher : Program Studi DIII Rekam Medis dan Informasi Kesehatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/icistech.v3i1.155

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.
Leveraging Data Science in Predicting and Preventing Child Health Issues Jack Harrison Scott; Oliver Henry Carter
Proceeding International Conference Of Innovation Science, Technology, Education, Children And Health Vol. 3 No. 1 (2023): Proceeding of The International Conference of Inovation, Science, Technology, E
Publisher : Program Studi DIII Rekam Medis dan Informasi Kesehatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/icistech.v3i1.155

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.
Co-Authors Jack Harrison Scott