Connectome-based machine learning models are vulnerable to subtle data manipulations.
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| Title: | Connectome-based machine learning models are vulnerable to subtle data manipulations. |
|---|---|
| Authors: | Rosenblatt M; Department of Biomedical Engineering, Yale School of Engineering and Applied Science, New Haven, CT 06510, USA., Rodriguez RX; Interdepartmental Neuroscience Program, Yale School of Medicine, New Haven, CT 06510, USA., Westwater ML; Department of Radiology & Biomedical Imaging, Yale School of Medicine, New Haven, CT 06510, USA., Dai W; Department of Biostatistics, Yale School of Public Health, New Haven, CT 06510, USA., Horien C; Interdepartmental Neuroscience Program, Yale School of Medicine, New Haven, CT 06510, USA., Greene AS; Interdepartmental Neuroscience Program, Yale School of Medicine, New Haven, CT 06510, USA., Constable RT; Department of Biomedical Engineering, Yale School of Engineering and Applied Science, New Haven, CT 06510, USA.; Interdepartmental Neuroscience Program, Yale School of Medicine, New Haven, CT 06510, USA.; Department of Radiology & Biomedical Imaging, Yale School of Medicine, New Haven, CT 06510, USA.; Department of Neurosurgery, Yale School of Medicine, New Haven, CT 06510, USA., Noble S; Department of Radiology & Biomedical Imaging, Yale School of Medicine, New Haven, CT 06510, USA., Scheinost D; Department of Biomedical Engineering, Yale School of Engineering and Applied Science, New Haven, CT 06510, USA.; Interdepartmental Neuroscience Program, Yale School of Medicine, New Haven, CT 06510, USA.; Department of Radiology & Biomedical Imaging, Yale School of Medicine, New Haven, CT 06510, USA.; Department of Statistics & Data Science, Yale University, New Haven, CT 06510, USA.; Child Study Center, Yale School of Medicine, New Haven, CT 06510, USA.; Wu Tsai Institute, Yale University, New Haven, CT 06510, USA. |
| Source: | Patterns (New York, N.Y.) [Patterns (N Y)] 2023 May 15; Vol. 4 (7), pp. 100756. Date of Electronic Publication: 2023 May 15 (Print Publication: 2023). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Inc Country of Publication: United States NLM ID: 101767765 Publication Model: eCollection Cited Medium: Internet ISSN: 2666-3899 (Electronic) Linking ISSN: 26663899 NLM ISO Abbreviation: Patterns (N Y) Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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