Machine learning-based text mining for cutaneous myiasis and potential value of an accidental maggot therapy for complicated skin and soft tissue infection with sepsis.

Journal: Frontiers in cellular and infection microbiology
Published Date: May 6, 2025

Abstract

BACKGROUND: Cutaneous myiasis, one of the most frequently diagnosed myiasis types, is defined as skin or soft tissue on a living host infested by dipterous larvae (maggots). However, bibliometric analysis of this disease remains sparse. Machine learning techniques and updated publications provide an opportunity for such an investigation.

Authors

  • Zhiyuan Zhou
    School of Biological Sciences, Nanyang Technological University, 637551, Singapore.
  • Chaoran Yu
    Department of General Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, 200240 Shanghai, China.
  • Danhua Yao
    Department of General Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Zhen Wang
    Department of Otolaryngology, Longgang Otolaryngology hospital & Shenzhen Key Laboratory of Otolaryngology, Shenzhen Institute of Otolaryngology, Shenzhen, Guangdong, China.
  • Yuhua Huang
    Department of Pathology, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in Southern China; Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, China.
  • Pengfei Wang
    Department of Anesthesiology, The Second Xiangya Hospital, Central South University, Changsha, China.
  • Weimin Wang
    Institute of Health Management, Chinese People's Liberation Army (PLA) General Hospital, Beijing, China.
  • Yousheng Li
    Department of General Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, 200240 Shanghai, China.

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