Graph-based clinical diagnosis and prediction using multi-modal neuroimaging data
The proposed research develops new computational tools to identify, diagnose, and predict treatment outcome for different mental illnesses. The research will be applied first to major depressive disorder, which affects millions of Americans, but is intended to be applied to any mental illness, such...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Pensoft Publishers
2016-04-01
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| Series: | Research Ideas and Outcomes |
| Subjects: | |
| Online Access: | https://riojournal.com/article/8835/ |
| _version_ | 1819087820621348864 |
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| author | Arno Klein Satrajit Ghosh |
| author_facet | Arno Klein Satrajit Ghosh |
| author_sort | Arno Klein |
| collection | DOAJ |
| description | The proposed research develops new computational tools to identify, diagnose, and predict treatment outcome for different mental illnesses. The research will be applied first to major depressive disorder, which affects millions of Americans, but is intended to be applied to any mental illness, such as Alzheimer’s disease, bipolar disorder, schizophrenia – indeed to analyze differences in brain structure, activity, or connectivity between any two populations. |
| first_indexed | 2024-12-21T21:42:13Z |
| format | Article |
| id | doaj.art-d401acc0dc2145fba4cd9cabf5fa2e9e |
| institution | Directory Open Access Journal |
| issn | 2367-7163 |
| language | English |
| last_indexed | 2024-12-21T21:42:13Z |
| publishDate | 2016-04-01 |
| publisher | Pensoft Publishers |
| record_format | Article |
| series | Research Ideas and Outcomes |
| spelling | doaj.art-d401acc0dc2145fba4cd9cabf5fa2e9e2022-12-21T18:49:20ZengPensoft PublishersResearch Ideas and Outcomes2367-71632016-04-01211510.3897/rio.2.e88358835Graph-based clinical diagnosis and prediction using multi-modal neuroimaging dataArno Klein0Satrajit Ghosh1Columbia UniversityMITThe proposed research develops new computational tools to identify, diagnose, and predict treatment outcome for different mental illnesses. The research will be applied first to major depressive disorder, which affects millions of Americans, but is intended to be applied to any mental illness, such as Alzheimer’s disease, bipolar disorder, schizophrenia – indeed to analyze differences in brain structure, activity, or connectivity between any two populations.https://riojournal.com/article/8835/graphsbrain imagingmultimodal data |
| spellingShingle | Arno Klein Satrajit Ghosh Graph-based clinical diagnosis and prediction using multi-modal neuroimaging data Research Ideas and Outcomes graphs brain imaging multimodal data |
| title | Graph-based clinical diagnosis and prediction using multi-modal neuroimaging data |
| title_full | Graph-based clinical diagnosis and prediction using multi-modal neuroimaging data |
| title_fullStr | Graph-based clinical diagnosis and prediction using multi-modal neuroimaging data |
| title_full_unstemmed | Graph-based clinical diagnosis and prediction using multi-modal neuroimaging data |
| title_short | Graph-based clinical diagnosis and prediction using multi-modal neuroimaging data |
| title_sort | graph based clinical diagnosis and prediction using multi modal neuroimaging data |
| topic | graphs brain imaging multimodal data |
| url | https://riojournal.com/article/8835/ |
| work_keys_str_mv | AT arnoklein graphbasedclinicaldiagnosisandpredictionusingmultimodalneuroimagingdata AT satrajitghosh graphbasedclinicaldiagnosisandpredictionusingmultimodalneuroimagingdata |