Blows or Falls? Distinction by Random Forest Classification.
CT scan
blows
blunt force trauma
falls
forensic science
random forests
skeletal fractures
Journal
Biology
ISSN: 2079-7737
Titre abrégé: Biology (Basel)
Pays: Switzerland
ID NLM: 101587988
Informations de publication
Date de publication:
29 Jan 2023
29 Jan 2023
Historique:
received:
12
12
2022
revised:
10
01
2023
accepted:
26
01
2023
entrez:
25
2
2023
pubmed:
26
2
2023
medline:
26
2
2023
Statut:
epublish
Résumé
In this study, we propose a classification method between falls and blows using random forests. In total, 400 anonymized patients presenting with fractures from falls or blows aged between 20 and 49 years old were used. There were 549 types of fractures for 57 bones and 12 anatomical regions observed. We first tested various models according to the sensibility of random forest parameters and their effects on model accuracies. The best model was based on the binary coding of 12 anatomical regions or 28 bones with or without baseline (age and sex). Our method achieved the highest accuracy rate of 83% in the distinction between falls and blows. Our findings pave the way for applications to help forensic experts and archaeologists.
Identifiants
pubmed: 36829485
pii: biology12020206
doi: 10.3390/biology12020206
pmc: PMC9952774
pii:
doi:
Types de publication
Journal Article
Langues
eng
Références
Rev Assoc Med Bras (1992). 2005 Sep-Oct;51(5):290-5
pubmed: 16270148
J Forensic Sci. 2010 Mar 1;55(2):423-7
pubmed: 20141554
Arch Kriminol. 2014 Sep-Oct;234(3-4):73-90
pubmed: 26548023
Spine J. 2013 Nov;13(11):1464-9
pubmed: 23623635
Neurosurg Focus. 2014;37(1):E12
pubmed: 24981900
Pan Afr Med J. 2015 Dec 04;22:338
pubmed: 26977245
Resuscitation. 2013 Mar;84(3):361-4
pubmed: 22819881
Forensic Sci Med Pathol. 2018 Jun;14(2):152-162
pubmed: 29564724
Psychol Bull. 1968 Oct;70(4):213-20
pubmed: 19673146
J Forensic Sci. 2006 Sep;51(5):996-1001
pubmed: 17018075
Clin Orthop Relat Res. 1988 Feb;227:67-81
pubmed: 3338224
Forensic Sci Int. 2014 Nov;244:57-62
pubmed: 25194643
J Forensic Sci. 2008 May;53(3):716-9
pubmed: 18471221
J Trauma. 1986 Dec;26(12):1113-5
pubmed: 3795309
J Forensic Sci. 2015 May;60(3):549-55
pubmed: 25716577
Med Law. 2002;21(4):773-82
pubmed: 15796004
Global Spine J. 2017 Oct;7(7):609-616
pubmed: 28989838
Eur Spine J. 2020 Oct;29(10):2534-2542
pubmed: 31637549
J Orthop Trauma. 2007 Nov-Dec;21(10 Suppl):S1-133
pubmed: 18277234
Injury. 2000 Dec;31(10):773-6
pubmed: 11154746
J Forensic Sci. 2019 Mar;64(2):375-384
pubmed: 30107638
Arch Kriminol. 2000 Mar-Apr;205(3-4):82-91
pubmed: 10829237
Semin Plast Surg. 2017 May;31(2):108-117
pubmed: 28496391
Forensic Sci Int. 2013 Sep 10;231(1-3):399.e1-5
pubmed: 23806345
Emerg Med J. 2003 Sep;20(5):434-7
pubmed: 12954682
Forensic Sci Int. 2013 Mar 10;226(1-3):290-5
pubmed: 23422164
Leg Med (Tokyo). 2009 Apr;11 Suppl 1:S315-7
pubmed: 19282225
J Trauma. 1995 May;38(5):692-6
pubmed: 7760394
Radiographics. 2017 Mar-Apr;37(2):628-651
pubmed: 28186860
Injury. 2003 Jun;34(6):426-33
pubmed: 12767788
Forensic Sci Med Pathol. 2015 Jun;11(2):152-61
pubmed: 25752229
Bone. 1993;14 Suppl 1:S89-97
pubmed: 8110529
BMC Bioinformatics. 2011 Mar 17;12:77
pubmed: 21414208
J Forensic Sci. 2009 Nov;54(6):1211-6
pubmed: 19804520
Injury. 1996 Nov;27(9):655-9
pubmed: 9039364
Medicina (Kaunas). 2014;50(4):249-54
pubmed: 25458963
J Trauma. 1993 Jan;34(1):85-9
pubmed: 8437202
BMJ. 2010 Mar 15;340:c1069
pubmed: 20231246
J Forensic Sci. 2009 Jul;54(4):923-6
pubmed: 19486249
J Trauma. 2007 Nov;63(5):1066-73; discussion 1072-3
pubmed: 17993952
Adv Emerg Nurs J. 2015 Jul-Sep;37(3):157-61
pubmed: 26218482
J Trauma. 1995 Dec;39(6):1110-4
pubmed: 7500403
Biometrics. 1977 Mar;33(1):159-74
pubmed: 843571
J Oral Maxillofac Surg. 2004 Jun;62(6):685-8
pubmed: 15170278
Emerg Radiol. 2009 Jul;16(4):299-301
pubmed: 19132420