An innovative medical waste management system in a smart city using XAI and vehicle routing optimization [version 2; peer review: 2 approved]
Background The management of medical waste is a complex task that necessitates effective strategies to mitigate health risks, comply with regulations, and minimize environmental impact. In this study, a novel approach based on collaboration and technological advancements is proposed. Methods By util...
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| Format: | Article |
| Language: | English |
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F1000 Research Ltd
2023-11-01
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| Series: | F1000Research |
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| Online Access: | https://f1000research.com/articles/12-1060/v2 |
| _version_ | 1797529425773854720 |
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| author | Zineb Boudanga Siham benhadou Hicham Medromi |
| author_facet | Zineb Boudanga Siham benhadou Hicham Medromi |
| author_sort | Zineb Boudanga |
| collection | DOAJ |
| description | Background The management of medical waste is a complex task that necessitates effective strategies to mitigate health risks, comply with regulations, and minimize environmental impact. In this study, a novel approach based on collaboration and technological advancements is proposed. Methods By utilizing colored bags with identification tags, smart containers with sensors, object recognition sensors, air and soil control sensors, vehicles with Global Positioning System (GPS) and temperature humidity sensors, and outsourced waste treatment, the system optimizes waste sorting, storage, and treatment operations. Additionally, the incorporation of explainable artificial intelligence (XAI) technology, leveraging scikit-learn, xgboost, catboost, lightgbm, and skorch, provides real-time insights and data analytics, facilitating informed decision-making and process optimization. Results The integration of these cutting-edge technologies forms the foundation of an efficient and intelligent medical waste management system. Furthermore, the article highlights the use of genetic algorithms (GA) to solve vehicle routing models, optimizing waste collection routes and minimizing transportation time to treatment centers. Conclusions Overall, the combination of advanced technologies, optimization algorithms, and XAI contributes to improved waste management practices, ultimately benefiting both public health and the environment. |
| first_indexed | 2024-03-10T10:13:41Z |
| format | Article |
| id | doaj.art-669ab387f0df4bf985fcb59c3461de63 |
| institution | Directory Open Access Journal |
| issn | 2046-1402 |
| language | English |
| last_indexed | 2024-03-10T10:13:41Z |
| publishDate | 2023-11-01 |
| publisher | F1000 Research Ltd |
| record_format | Article |
| series | F1000Research |
| spelling | doaj.art-669ab387f0df4bf985fcb59c3461de632023-11-22T01:00:01ZengF1000 Research LtdF1000Research2046-14022023-11-0112158875An innovative medical waste management system in a smart city using XAI and vehicle routing optimization [version 2; peer review: 2 approved]Zineb Boudanga0Siham benhadou1Hicham Medromi2Engineering research laboratory (LRI), System Architecture Team (EAS), National and high school of electricity and mechanic (ENSEM), University Hassan II Casablanca, Casablanca, Grand Casablanca, MoroccoEngineering research laboratory (LRI), System Architecture Team (EAS), National and high school of electricity and mechanic (ENSEM), University Hassan II Casablanca, Casablanca, Grand Casablanca, MoroccoFondation de Recherche de Developpement et d'Innovation en Sciences et Ingenierie, Casablanca, Grand Casablanca, MoroccoBackground The management of medical waste is a complex task that necessitates effective strategies to mitigate health risks, comply with regulations, and minimize environmental impact. In this study, a novel approach based on collaboration and technological advancements is proposed. Methods By utilizing colored bags with identification tags, smart containers with sensors, object recognition sensors, air and soil control sensors, vehicles with Global Positioning System (GPS) and temperature humidity sensors, and outsourced waste treatment, the system optimizes waste sorting, storage, and treatment operations. Additionally, the incorporation of explainable artificial intelligence (XAI) technology, leveraging scikit-learn, xgboost, catboost, lightgbm, and skorch, provides real-time insights and data analytics, facilitating informed decision-making and process optimization. Results The integration of these cutting-edge technologies forms the foundation of an efficient and intelligent medical waste management system. Furthermore, the article highlights the use of genetic algorithms (GA) to solve vehicle routing models, optimizing waste collection routes and minimizing transportation time to treatment centers. Conclusions Overall, the combination of advanced technologies, optimization algorithms, and XAI contributes to improved waste management practices, ultimately benefiting both public health and the environment.https://f1000research.com/articles/12-1060/v2Medical waste management Smart city IoT Explainable AI (XAI) GA TDVRPTW eng |
| spellingShingle | Zineb Boudanga Siham benhadou Hicham Medromi An innovative medical waste management system in a smart city using XAI and vehicle routing optimization [version 2; peer review: 2 approved] F1000Research Medical waste management Smart city IoT Explainable AI (XAI) GA TDVRPTW eng |
| title | An innovative medical waste management system in a smart city using XAI and vehicle routing optimization [version 2; peer review: 2 approved] |
| title_full | An innovative medical waste management system in a smart city using XAI and vehicle routing optimization [version 2; peer review: 2 approved] |
| title_fullStr | An innovative medical waste management system in a smart city using XAI and vehicle routing optimization [version 2; peer review: 2 approved] |
| title_full_unstemmed | An innovative medical waste management system in a smart city using XAI and vehicle routing optimization [version 2; peer review: 2 approved] |
| title_short | An innovative medical waste management system in a smart city using XAI and vehicle routing optimization [version 2; peer review: 2 approved] |
| title_sort | innovative medical waste management system in a smart city using xai and vehicle routing optimization version 2 peer review 2 approved |
| topic | Medical waste management Smart city IoT Explainable AI (XAI) GA TDVRPTW eng |
| url | https://f1000research.com/articles/12-1060/v2 |
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