An extensive review on infectious disease diagnosis using machine learning techniques and next generation sequencing: State-of-the-art and perspectives.

Journal: Computers in biology and medicine
PMID:

Abstract

UNLABELLED: Infectious diseases, including tuberculosis (TB), HIV/AIDS, and emerging pathogens like COVID-19 pose severe global health challenges due to their rapid spread and significant morbidity and mortality rates. Next-generation sequencing (NGS) and machine learning (ML) have emerged as transformative technologies for enhancing disease diagnosis and management.

Authors

  • Javed Aalam
    Department of Computer Science, Jamia Millia Islamia, New Delhi, 110025, India. Electronic address: javed2206276@st.jmi.ac.in.
  • Syed Naseer Ahmad Shah
    Department of Computer Science, Jamia Millia Islamia, New Delhi, 110025, India. Electronic address: syeddnaseer@gmail.com.
  • Rafat Parveen
    Department of Computer Science, Jamia Millia Islamia, New Delhi, India.