Global Trends in Medical Waste Management and Predictive Modeling of Water Quality Contamination: A Hybrid Approach Using Scimat and Neural Networks in Orange

Elviza Qurrata Ayuni ; Afriyanto Afriyanto ; Nopia Wati ; Hasan Husin ; Thidarat Somdee ; Jamiko Yusuf Subanah
International Journal of Medicine and Health 📅 2024 Vol 3, No 2 🔗 DOI: 10.55606/ijmh.v3i2.6094
Abstract
The rapid growth of healthcare services has significantly increased the generation of medical waste, posing serious risks to environmental and public health, particularly through water quality contamination. This study examines global trends in medical waste management and proposes a hybrid analytical framework combining bibliometric analysis using SCIMAT and predictive modeling based on artificial neural networks implemented in Orange. Bibliometric mapping was employed to identify dominant research themes, temporal evolution, and knowledge gaps in medical waste and water contamination studies from 2000 to 2023. Subsequently, a neural network model was developed to predict potential water quality deterioration associated with mismanaged medical waste, using simulated environmental indicators. The results reveal a strong research focus on incineration, infection control, and hazardous waste, while predictive modeling of water contamination remains underexplored. The proposed hybrid approach demonstrates high predictive accuracy and offers a robust decision-support tool for environmental health policy. This study contributes methodologically and substantively to sustainable medical waste management and water resource protection.
Keywords
Bibliometric Analysis; Environmental Health; Medical Waste Management; Neural Network Modeling; SCIMAT
How to Cite

Elviza Qurrata Ayuni, et al. (2024). Global Trends in Medical Waste Management and Predictive Modeling of Water Quality Contamination: A Hybrid Approach Using Scimat and Neural Networks in Orange . International Journal of Medicine and Health, 3(2). https://doi.org/10.55606/ijmh.v3i2.6094

Elviza Qurrata Ayuni; Afriyanto Afriyanto; Nopia Wati; Hasan Husin; Thidarat Somdee; Jamiko Yusuf Subanah, "Global Trends in Medical Waste Management and Predictive Modeling of Water Quality Contamination: A Hybrid Approach Using Scimat and Neural Networks in Orange ," International Journal of Medicine and Health, vol. 3, no. 2, 2024.

Elviza Qurrata Ayuni; Afriyanto Afriyanto; Nopia Wati; Hasan Husin; Thidarat Somdee; Jamiko Yusuf Subanah. "Global Trends in Medical Waste Management and Predictive Modeling of Water Quality Contamination: A Hybrid Approach Using Scimat and Neural Networks in Orange ." International Journal of Medicine and Health, vol. 3, no. 2, 2024.

Elviza Qurrata Ayuni; Afriyanto Afriyanto; Nopia Wati; Hasan Husin; Thidarat Somdee; Jamiko Yusuf Subanah. "Global Trends in Medical Waste Management and Predictive Modeling of Water Quality Contamination: A Hybrid Approach Using Scimat and Neural Networks in Orange ." International Journal of Medicine and Health 3, no. 2 (2024).

Elviza Qurrata Ayuni, et al. (2024) 'Global Trends in Medical Waste Management and Predictive Modeling of Water Quality Contamination: A Hybrid Approach Using Scimat and Neural Networks in Orange ', International Journal of Medicine and Health, 3(2). doi: 10.55606/ijmh.v3i2.6094.

Elviza Qurrata Ayuni; Afriyanto Afriyanto; Nopia Wati; Hasan Husin; Thidarat Somdee; Jamiko Yusuf Subanah. Global Trends in Medical Waste Management and Predictive Modeling of Water Quality Contamination: A Hybrid Approach Using Scimat and Neural Networks in Orange . International Journal of Medicine and Health. 2024;3(2).

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