Interpretable machine learning models for predicting incestuous relationships from short tandem repeat profiles in sexual assault-related pregnancies for forensic intelligence.
Saved in:
| Title: | Interpretable machine learning models for predicting incestuous relationships from short tandem repeat profiles in sexual assault-related pregnancies for forensic intelligence. |
|---|---|
| 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 |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42320436 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Interpretable machine learning models for predicting incestuous relationships from short tandem repeat profiles in sexual assault-related pregnancies for forensic intelligence. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Inokuchi+S%22">Inokuchi S</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Satoh+T%22">Satoh T</searchLink>; Forensic Science Laboratory, Kumamoto Prefectural Police Headquarters, 6-18-1 Suizenji, Chuo-ku, Kumamoto, Japan.<br /><searchLink fieldCode="AU" term="%22Nakanishi+H%22">Nakanishi H</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Takada+A%22">Takada A</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Saito+K%22">Saito K</searchLink>; 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. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22100889186%22">Legal medicine (Tokyo, Japan)</searchLink> [Leg Med (Tokyo)] 2026 Jul; Vol. 84, pp. 102889. <i>Date of Electronic Publication: </i>2026 Jun 09. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+Science+Ireland+Ltd%22">Elsevier Science Ireland Ltd </searchLink><i>Country of Publication: </i>Ireland <i>NLM ID: </i>100889186 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1873-4162 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2213446223%22">13446223 </searchLink><i>NLM ISO Abbreviation: </i>Leg Med (Tokyo) <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42320436 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.legalmed.2026.102889 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 102889 Titles: – TitleFull: Interpretable machine learning models for predicting incestuous relationships from short tandem repeat profiles in sexual assault-related pregnancies for forensic intelligence. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Inokuchi S – PersonEntity: Name: NameFull: Satoh T – PersonEntity: Name: NameFull: Nakanishi H – PersonEntity: Name: NameFull: Takada A – PersonEntity: Name: NameFull: Saito K IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: 2026 Jul Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1873-4162 Numbering: – Type: volume Value: 84 Titles: – TitleFull: Legal medicine (Tokyo, Japan) Type: main |
| ResultId | 1 |
