Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/97126
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Health Technology and Informatics | en_US |
| dc.creator | Zhang, X | en_US |
| dc.creator | Wang, F | en_US |
| dc.creator | Zhang, W | en_US |
| dc.date.accessioned | 2023-02-01T03:19:54Z | - |
| dc.date.available | 2023-02-01T03:19:54Z | - |
| dc.identifier.issn | 1359-4184 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10397/97126 | - |
| dc.description | Associated Content | en_US |
| dc.description | Response to: Winter, N.R., Hahn, T. Significance and stability of deep learning-based identification of subtypes within major psychiatric disorders. Mol Psychiatry 27, 1858–1859 (2022). https://doi.org/10.1038/s41380-022-01482-1 | en_US |
| dc.description | Article: Chang, M., Womer, F.Y., Gong, X. et al. Identifying and validating subtypes within major psychiatric disorders based on frontal–posterior functional imbalance via deep learning. Mol Psychiatry 26, 2991–3002 (2021). https://doi.org/10.1038/s41380-020-00892- | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Nature Publishing Group | en_US |
| dc.rights | © The Author(s) 2022 | en_US |
| dc.rights | This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. | en_US |
| dc.rights | The following publication Zhang, X., Wang, F., & Zhang, W. (2022). Response to: Significance and stability of deep learning-based identification of subtypes within major psychiatric disorders. Molecular Psychiatry, 27, 3569–3570 is available at https://doi.org/10.1038/s41380-022-01613-8 | en_US |
| dc.title | Response to : Significance and stability of deep learning-based identification of subtypes within major psychiatric disorders. Molecular Psychiatry (2022) | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.spage | 3569 | en_US |
| dc.identifier.epage | 3570 | en_US |
| dc.identifier.volume | 27 | en_US |
| dc.identifier.doi | 10.1038/s41380-022-01613-8 | en_US |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | Molecular psychiatry, 2022, v. 27, 3569-3570 | en_US |
| dcterms.isPartOf | Molecular psychiatry | en_US |
| dcterms.issued | 2022 | - |
| dc.identifier.isi | WOS:000808406500002 | - |
| dc.identifier.pmid | 35681080 | - |
| dc.identifier.eissn | 1476-5578 | en_US |
| dc.description.validate | 202301 bckw | en_US |
| dc.description.oa | Version of Record | en_US |
| dc.identifier.FolderNumber | OA_Others | - |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | National Natural Science Foundation of China; Natural Science Foundation for Distinguished Young Scholars | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.description.oaCategory | CC | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| s41380-022-01613-8.pdf | 309.12 kB | Adobe PDF | View/Open |
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