A novel deep neural network approach to detect and monitor cocaine drug abuse.

Journal: Computers in biology and medicine
Published Date:

Abstract

PURPOSE: Cocaine is one of the most commonly used drugs that may lead to physical and mental health problems. It is necessary to identify individuals having cocaine use disorder as early as possible to monitor them properly. The objective of this work is to predict the time of cocaine use in scenarios where clinical testing is not possible. The time of cocaine use is defined as how many days before the individual has used cocaine.

Authors

  • Aleena Swetapadma
    Department of Electrical Engineering, National Institute of Technology, Raipur 492010, India.
  • Divya Kumari
    Information Science Engineering, New Horizon College of Engineering, Bengaluru, Karnatka, India. Electronic address: divya.nov30@gmail.com.