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| dc.contributor.author | Walter, Martin | |
| dc.date.accessioned | 2022-08-30T07:57:02Z | |
| dc.date.available | 2022-08-30T07:57:02Z | |
| dc.date.issued | 2021 | |
| dc.identifier.issn | 2045-2322 | |
| dc.identifier.uri | http://hdl.handle.net/10900/131261 | |
| dc.language.iso | en | de_DE |
| dc.publisher | Nature Research | de_DE |
| dc.relation.uri | http://dx.doi.org/10.1038/s41598-021-86368-y | de_DE |
| dc.subject.ddc | 500 | de_DE |
| dc.title | Predicting women with depressive symptoms postpartum with machine learning methods | de_DE |
| dc.type | Article | de_DE |
| utue.quellen.id | 20210824232002_01562 | |
| utue.personen.roh | Andersson, Sam | |
| utue.personen.roh | Bathula, Deepti R. | |
| utue.personen.roh | Iliadis, Stavros I. | |
| utue.personen.roh | Walter, Martin | |
| utue.personen.roh | Skalkidou, Alkistis | |
| dcterms.isPartOf.ZSTitelID | Scientific Reports | de_DE |
| dcterms.isPartOf.ZS-Issue | Article 7877 | de_DE |
| dcterms.isPartOf.ZS-Volume | 11 | de_DE |
| utue.fakultaet | 07 Mathematisch-Naturwissenschaftliche Fakultät | de_DE |
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