Comments on Predicting medical waste generation and associated factors using machine learning in the Kingdom of Bahrain

被引：0
|
作者：
Yavuz, Cavit Işık [1 ]
Sarı, Özge Yavuz [1 ]
机构：
[1] Department of Public Health, Hacettepe University Medicine Faculty, Sıhhiye, Ankara,06230, Turkey
来源：
Environmental Science and Pollution Research | 2024年 / 31卷 / 50期
关键词：
D O I：
10.1007/s11356-024-35149-x
中图分类号：
学科分类号：
摘要：
4
引用
收藏
页码：60702 / 60703
页数：1
相关论文
共 50 条
  • [1] Predicting medical waste generation and associated factors using machine learning in the Kingdom of Bahrain
    Al-Omran K.
    Khan E.
    Environmental Science and Pollution Research, 2024, 31 (26) : 38343 - 38357
  • [2] Factors associated with medical waste under pandemic situation: a case study of the Kingdom of Bahrain
    Khadija Al-Omran
    Ezzat Khan
    Simone Perna
    Nisar Ali
    Journal of Material Cycles and Waste Management, 2023, 25 : 2951 - 2963
  • [3] Factors associated with medical waste under pandemic situation: a case study of the Kingdom of Bahrain
    Al-Omran, Khadija
    Khan, Ezzat
    Perna, Simone
    Ali, Nisar
    JOURNAL OF MATERIAL CYCLES AND WASTE MANAGEMENT, 2023, 25 (05) : 2951 - 2963
  • [4] Integrated Environmental Assessment of Medical Waste Management in the Kingdom of Bahrain
    Al-Omran, Khadija
    Abahussain, Asma
    Khan, Ezzat
    SUSTAINABILITY, 2023, 15 (03)
  • [5] Estimation of COVID-19 generated medical waste in the Kingdom of Bahrain
    Al-Omran, Khadija
    Khan, Ezzat
    Ali, Nisar
    Bilal, Muhammad
    SCIENCE OF THE TOTAL ENVIRONMENT, 2021, 801
  • [6] Predicting risk factors associated with preterm delivery using a machine learning model
    Kavitha, S. N.
    Asha, V.
    MULTIMEDIA TOOLS AND APPLICATIONS, 2024, 83 (30) : 74255 - 74280
  • [7] Estimation of construction waste generation using machine learning
    Nagalli, Andre
    PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-WASTE AND RESOURCE MANAGEMENT, 2021, 174 (01) : 22 - 31
  • [8] Predicting maturity and identifying key factors in organic waste composting using machine learning models
    Wang, Ning
    Yang, Wanli
    Wang, Bingshu
    Bai, Xinyue
    Wang, Xinwei
    Xu, Qiyong
    BIORESOURCE TECHNOLOGY, 2024, 400
  • [9] Predicting Fundraising Performance in Medical Crowdfunding Campaigns Using Machine Learning
    Peng, Nianjiao
    Zhou, Xinlei
    Niu, Ben
    Feng, Yuanyue
    ELECTRONICS, 2021, 10 (02) : 1 - 16
  • [10] Predicting QoE Factors with Machine Learning
    Vasilev, Vladislav
    Leguay, Jeremie
    Paris, Stefano
    Maggi, Lorenzo
    Debbah, Merouane
    2018 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2018,
12345