Age Classification in Forensic Medicine Using Machine Learning Techniques.

Abstract

Authors

• G V Zolotenkova
  Professor, Department of Forensic Medicine, First Moscow State Medical University (Sechenov University), 8/2 Malaya Trubetskaya St., Moscow, 119991, Russia; Researcher, Center for Information Technologies in Engineering of the Russian Academy of Sciences, 7а Marshala Biryuzova St., Moscow Region, Odintsovo, 143003, Russia.
• A I Rogachev
  PhD Student, Big Data and Information Retrieval School, Faculty of Computer Science; HSE University, 11 Pokrovsky Boulevard, Moscow, 109028, Russia; Researcher, Center for Information Technologies in Engineering of the Russian Academy of Sciences, 7а Marshala Biryuzova St., Moscow Region, Odintsovo, 143003, Russia.
• Y I Pigolkin
  Professor, Corresponding Member of the Russian Academy of Sciences, Head of the Department of Forensic Medicine, First Moscow State Medical University (Sechenov University), 8/2 Malaya Trubetskaya St., Moscow, 119991, Russia; Researcher, Center for Information Technologies in Engineering of the Russian Academy of Sciences, 7а Marshala Biryuzova St., Moscow Region, Odintsovo, 143003, Russia.
• I S Edelev
  Assistant, Department of Forensic Medicine; Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Square, Nizhny Novgorod, 603005, Russia.
• V N Borshchevskaya
  Assistant, Department of Forensic Medicine; Stavropol State Medical University, 310 Mira St., Stavropol, 355017, Russia.
• R Cameriere
  Professor, AgEstimation Project, Institute of Legal Medicine, University of Macerata, Macerata, 62100, Italy.

Keywords

External Resources