Interpretable machine learning models for predicting incestuous relationships from short tandem repeat profiles in sexual assault-related pregnancies for forensic intelligence.
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| Title: | Interpretable machine learning models for predicting incestuous relationships from short tandem repeat profiles in sexual assault-related pregnancies for forensic intelligence. |
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| Authors: | Inokuchi S; Department of Forensic Medicine, Graduate School of Medicine, Juntendo University, 2-1-1 Hongo, Bunkyo-ku, Tokyo, Japan; Forensic Science Laboratory, Tokyo Metropolitan Police Department, 3-35-21 Shakujiidai, Nerima-ku, Tokyo, Japan. Electronic address: s-inoku@juntendo.ac.jp., Satoh T; Forensic Science Laboratory, Kumamoto Prefectural Police Headquarters, 6-18-1 Suizenji, Chuo-ku, Kumamoto, Japan., Nakanishi H; Department of Forensic Medicine, Graduate School of Medicine, Juntendo University, 2-1-1 Hongo, Bunkyo-ku, Tokyo, Japan; Department of Forensic Medicine, Saitama Medical University, 38 Moroyamamachimorohongo, Saitama, Japan., Takada A; Department of Forensic Medicine, Graduate School of Medicine, Juntendo University, 2-1-1 Hongo, Bunkyo-ku, Tokyo, Japan; Department of Forensic Medicine, Saitama Medical University, 38 Moroyamamachimorohongo, Saitama, Japan., Saito K; Department of Forensic Medicine, Graduate School of Medicine, Juntendo University, 2-1-1 Hongo, Bunkyo-ku, Tokyo, Japan; Department of Forensic Medicine, Saitama Medical University, 38 Moroyamamachimorohongo, Saitama, Japan. |
| Source: | Legal medicine (Tokyo, Japan) [Leg Med (Tokyo)] 2026 Jul; Vol. 84, pp. 102889. Date of Electronic Publication: 2026 Jun 09. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Science Ireland Ltd Country of Publication: Ireland NLM ID: 100889186 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-4162 (Electronic) Linking ISSN: 13446223 NLM ISO Abbreviation: Leg Med (Tokyo) Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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