Use of Autopsy to Determine Live or Stillbirth: New Approaches in Decision‐support Systems

Fetal deaths are important cases for forensic medicine, as well as for criminal and civil law. From a legal perspective, the determination of whether a deceased infant was stillborn is a difficult process. Such a determination is generally made during autopsy; however, no standardized procedures for...

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Bibliographic Details
Published in:Journal of forensic sciences 2017-03, Vol.62 (2), p.468-472
Main Authors: Yilmaz, Riza, Erkaymaz, Okan, Kara, Erdogan, Ergen, Kivanc
Format: Article
Language:English
Subjects:
Amniotic Fluid
artificial neural networks
Autopsies
Autopsy
Decision support systems
Decision Support Techniques
Female
Forensic pathology
forensic science
Humans
infant
Infant, Newborn
Live Birth
Logistic Models
logistic regression
Neural networks
Neural Networks (Computer)
Pregnancy
Pulmonary Alveoli - pathology
radial basis function network
Respiratory Aspiration - pathology
Sensitivity and Specificity
Stillbirth
support system
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Summary:Fetal deaths are important cases for forensic medicine, as well as for criminal and civil law. From a legal perspective, the determination of whether a deceased infant was stillborn is a difficult process. Such a determination is generally made during autopsy; however, no standardized procedures for this determination exist. Therefore, new facilitative approaches are needed. In this study, three new support systems based on 10 autopsy parameters were tested for their ability to correctly determine whether deceased infants were alive or stillborn. Performances were analyzed and compared with one another. The artificial neural networks and radial basis function network models had 90% accuracy (the highest among the models tested), 100% sensitivity, and 83.3% specificity. Thus, the models presented here provide additional insights for future studies concerning infant autopsies.
ISSN:0022-1198
1556-4029
DOI:10.1111/1556-4029.13277