A computational approach to estimate postmortem interval using postmortem computed tomography of multiple tissues based on animal experiments

Meurs J, Krap T, Duijst W (2019) Evaluation of postmortem biochemical markers: completeness of data and assessment of implication in the field. Sci Justice 59:177–180. https://doi.org/10.1016/j.scijus.2018.09.002

Article  PubMed  Google Scholar 

Cantürk İ, Karabiber F, Çelik S et al (2016) An experimental evaluation of electrical skin conductivity changes in postmortem interval and its assessment for time of death estimation. Comput Biol Med 69:92–96. https://doi.org/10.1016/j.compbiomed.2015.12.010

Article  CAS  PubMed  Google Scholar 

Wang Y, Wang Y, Wang M et al (2021) Forensic entomology in China and its challenges. Insects 12:230. https://doi.org/10.3390/insects12030230

Article  PubMed  PubMed Central  Google Scholar 

Rognum TO, Holmen S, Musse MA et al (2016) Estimation of time since death by vitreous humor hypoxanthine, potassium, and ambient temperature. Forensic Sci Int 262:160–165. https://doi.org/10.1016/j.forsciint.2016.03.001

Article  CAS  PubMed  Google Scholar 

Parmar AK, Menon SK (2015) Estimation of postmortem interval through albumin in CSF by simple dye binding method. Sci Justice 55:388–393. https://doi.org/10.1016/j.scijus.2015.07.005

Article  PubMed  Google Scholar 

Pesko BK, Weidt S, McLaughlin M et al (2020) Postmortomics the potential of untargeted metabolomics to highlight markers for time since death. OMICS: J Integr Biol 24:649–659. https://doi.org/10.1089/omi.2020.0084

Article  CAS  Google Scholar 

Locci E, Stocchero M, Gottardo R et al (2020) Comparative use of aqueous humour 1H NMR metabolomics and potassium concentration for PMI estimation in an animal model. Int J Legal Med 135:845–852. https://doi.org/10.1007/s00414-020-02468-w

Article  PubMed  PubMed Central  Google Scholar 

Mansour H, Krebs O, Pinnschmidt HO et al (2019) Factors affecting dental DNA in various real post-mortem conditions. Int J Legal Med 133:1751–1759. https://doi.org/10.1007/s00414-019-02151-9

Article  PubMed  Google Scholar 

Scrivano S, Sanavio M, Tozzo P et al (2019) Analysis of RNA in the estimation of post-mortem interval: a review of current evidence. Int J Legal Med. https://doi.org/10.1007/s00414-019-02125-x

Article  PubMed  Google Scholar 

Chandy PE, Murray N, Khasanova E et al (2020) Postmortem CT in trauma: an overview. Can Assoc Radiol J 71:403–414. https://doi.org/10.1177/0846537120909503

Article  PubMed  Google Scholar 

Grabherr S, Heinemann A, Vogel H et al (2018) Postmortem CT angiography compared with autopsy: a forensic multicenter study. Radiology 288:270–276. https://doi.org/10.1148/radiol.2018170559

Article  PubMed  Google Scholar 

Egger C, Vaucher P, Doenz F, Palmiere C, Mangin P, Grabherr S (2012) Development and validation of a postmortem radiological alteration index: the RA-Index. Int J Legal Med 126:559–566. https://doi.org/10.1007/s00414-012-0686-6

Article  CAS  PubMed  Google Scholar 

Okumura M, Usumoto Y, Tsuji A et al (2017) Analysis of postmortem changes in internal organs and gases using computed tomography data. Legal Med 25:11–15. https://doi.org/10.1016/j.legalmed.2016.12.011

Article  CAS  PubMed  Google Scholar 

De-Giorgio F, Ciasca G, Fecondo G et al (2021) Estimation of the time of death by measuring the variation of lateral cerebral ventricle volume and cerebrospinal fluid radiodensity using postmortem computed tomography. Int J Legal Med 135:2615–2623. https://doi.org/10.1007/s00414-021-02698-6

Article  PubMed  PubMed Central  Google Scholar 

Koopmanschap DHJLM, Bayat AR, Kubat B et al (2016) The radiodensity of cerebrospinal fluid and vitreous humor as indicator of the time since death. Forensic Sci Med Pathol 12:248–256. https://doi.org/10.1007/s12024-016-9778-9

Article  PubMed  PubMed Central  Google Scholar 

Michiue T, Ishikawa T, Nishiguchi T et al (2010) Significance of postmortem computed tomography in forensic autopsy and its possible issues. Nihon hoigaku zasshi = Japan J Legal Med 64:121–127

Google Scholar 

Liu R, Gu Y, Shen M et al (2020) Predicting postmortem interval based on microbial community sequences and machine learning algorithms. Environ Microbiol 22:2273–2291. https://doi.org/10.1111/1462-2920.15000

Article  CAS  PubMed  Google Scholar 

Zhang Y, Pechal JL, Schmidt CJ et al (2019) Machine learning performance in a microbial molecular autopsy context: a cross-sectional postmortem human population study. PLOS ONE 14:e0213829. https://doi.org/10.1371/journal.pone.0213829

Article  CAS  PubMed  PubMed Central  Google Scholar 

Ghannam RB, Techtmann SM (2021) Machine learning applications in microbial ecology, human microbiome studies, and environmental monitoring. Compu Struct Biotechnol J 19:1092–1107. https://doi.org/10.1016/j.csbj.2021.01.028

Article  CAS  Google Scholar 

Porto LF, Lima LNC, Franco A et al (2020) Estimating sex and age from a face: a forensic approach using machine learning based on photo-anthropometric indexes of the Brazilian population. Int J Legal Med 134:2239–2259. https://doi.org/10.1007/s00414-020-02346-5

Article  PubMed  Google Scholar 

Chaves D, Fidalgo E, Alegre E et al (2020) Assessment and estimation of face detection performance based on deep learning for forensic applications. Sensors 20(16):4491. https://doi.org/10.3390/s20164491

Khanagar SB, Vishwanathaiah S, Naik S et al (2021) Application and performance of artificial intelligence technology in forensic odontology – a systematic review. Legal Med 48:101826. https://doi.org/10.1016/j.legalmed.2020.101826

Article  PubMed  Google Scholar 

Cantürk İ, Özyılmaz L (2018) A computational approach to estimate postmortem interval using opacity development of eye for human subjects. Comput Biol Med 98:93–99. https://doi.org/10.1016/j.compbiomed.2018.04.023

Article  PubMed  Google Scholar 

Zhang F-Y, Wang L-L, Dong W-W et al (2022) A preliminary study on early postmortem submersion interval (PMSI) estimation and cause-of-death discrimination based on nontargeted metabolomics and machine learning algorithms. Int J Legal Med 136:941–954. https://doi.org/10.1007/s00414-022-02783-4

Article  PubMed  Google Scholar 

Lu X, Li J, Wei X et al (2022) A novel method for determining postmortem interval based on the metabolomics of multiple organs combined with ensemble learning techniques. Int J Legal Med 137:237–249. https://doi.org/10.1007/s00414-022-02844-8

Article  PubMed  Google Scholar 

Burget R, Karasek J, Smékal Z et al (2010) Rapidminer image processing extension: a platform for collaborative research. In: Proceedings of the 33rd International Conference on Telecommunication and Signal Processing. pp 114–118. https://www.webofscience.com/wos/woscc/full-record/WOS:000290635200026

Hu L, Xing Y, Jiang P, Gan L, Zhao F, Peng W, Li W, Tong Y, Deng S (2021) Predicting the postmortem interval using human intestinal microbiome data and random forest algorithm. Sci Justice 61:516–527. https://doi.org/10.1016/j.scijus.2021.06.006

Article  PubMed  Google Scholar 

Wolpert DH (1992) Stacked generalization. Neural Netw 5:241–259. https://doi.org/10.1016/s0893-6080(05)80023-1

Article  Google Scholar 

Yang L, Shami A (2020) On hyperparameter optimization of machine learning algorithms: theory and practice. Neurocomputing 415:295–316. https://doi.org/10.1016/j.neucom.2020.07.061

Article  Google Scholar 

Brooks JW (2016) Postmortem changes in animal carcasses and estimation of the postmortem interval. Vet Pathol 53:929–940. https://doi.org/10.1177/0300985816629720

Article  CAS  PubMed  Google Scholar 

Madea B, Rödig A (2006) Time of death dependent criteria in vitreous humor—accuracy of estimating the time since death. Forensic Sci Int 164:87–92. https://doi.org/10.1016/j.forsciint.2005.12.002

Article  CAS  PubMed  Google Scholar 

Ferreira PG, Muñoz-Aguirre M, Reverter F, Sammeth M et al (2018) The effects of death and post-mortem cold ischemia on human tissue transcriptomes. Nat Commun 9:490. https://doi.org/10.1038/s41467-017-02772-x

Article  CAS  PubMed  PubMed Central  Google Scholar 

Sharma R, Diksha Bhute AR et al (2022) Application of artificial intelligence and machine learning technology for the prediction of postmortem interval: a systematic review of preclinical and clinical studies. Forensic Sci Int 340:111473. https://doi.org/10.1016/j.forsciint.2022.111473

Article  PubMed  Google Scholar 

Džeroski S, Ženko B (2004) Is combining classifiers with stacking better than selecting the best one? Mach Learn 54:255–273. https://doi.org/10.1023/b:mach.0000015881.36452.6e

Article  Google Scholar 

Douglas WR (1972) Of pigs and men and research. Space Life Sci 3:226–234. https://doi.org/10.1007/bf00928167

Article  CAS  PubMed  Google Scholar 

留言 (0)

沒有登入
gif