We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Artificial Neural Networks in Forensic Medicine (review).
- Authors
Kotsyubynska, Yu. Z.; Kozan, N. M.; Zelenchuk, G. M.; Voloshinovich, V. M.; Kotsyubynsky, A. O.
- Abstract
The article deals with the possibilities and limitations of the use of artificial neural networks in forensic medical practice. It is known that in the work of forensic medicine experts have to process and evaluate a large amount of information, which may belong to different types of data - the site inspection protocols, photographic materials, macroscopic data obtained during the autopsy of the corpse, the results of laboratory tests, medical records etc. All the received data should be studied, categorized and evaluated according to international standards. Modern computer technologies of artificial intelligence (artificial neural networks) can help in the handling of forensic medicine data, which, in turn, will reduce to a minimum the probability of mistakes in preparation of expert conclusions. The algorithms used in artificial neural networks, as a result of processing different types of input data, can direct them to the resulting categorized outputs and structure them.
- Subjects
INFORMATION resources management; ARTIFICIAL intelligence; ARTIFICIAL neural networks; FORENSIC medicine; DATA analytics; DATA analysis; INFORMATION technology; ALGORITHMS
- Publication
Medico-Legal Update, 2021, Vol 21, Issue 3, p346
- ISSN
0971-720X
- Publication type
Article
- DOI
10.37506/mlu.v21i3.3012