Predicting Community Health Outcomes from Healthcare Factory Waste Using Machine Learning

Authors

  • Kushwanth Gondi Software Developer, Computer Science and Technology Company, USA,
  • Jubin Thomas Independent Researcher Media, USA
  • Vamsi Krishna Reddy Bandaru Data Science Advisor, Artificial Intelligence and Machine Learning Company, USA
  • Dedeepya Sai Gondi CTO/Director, Artificial Intelligence and Machine Learning Company, USA
  • Veera Venkata Raghunath Indugu Engineer 1, Data Science and Cloud Technologies Company, USA

Abstract

The waste produced by healthcare factories can have significant adverse effects on the health of surrounding communities. This paper employs machine learning models to predict the health outcomes of communities exposed to factory waste, focusing on respiratory diseases, cancer, and other health conditions. By analyzing environmental data and health records, we identify key pollutants and their impact on public health. The study proposes strategies for mitigating these risks, including improved waste management practices, regulatory measures, and community health monitoring programs.

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Published

2023-07-11

Issue

Vol. 6 No. 1 (2023): JIT 2023

Section

Articles