Please use this identifier to cite or link to this item:
https://repository.monashhealth.org/monashhealthjspui/handle/1/48499| Title: | Editorial: Machine Learning in Action: Stroke Diagnosis and Outcome Prediction. | Authors: | Abedi V.;Kawamura Y.;Li J.;Phan T.G.;Zand R. | Monash Health Department(s): | Monash University - School of Clinical Sciences at Monash Health Neurology |
Institution: | (Abedi) Department of Public Health Sciences, College of Medicine, The Pennsylvania State University, Hershey, PA, United States (Kawamura) Department of Medicine, University of Cambridge, Cambridge, United Kingdom (Li) Department of Molecular and Functional Genomics, Weis Center for Research, Geisinger Health System, Danville, PA, United States (Phan) Stroke and Aging Research Group, Clinical Trials, Imaging, and Informatics Division, School of Clinical Sciences at Monash Health, Melbourne, VIC, Australia (Phan) Department of Neurology, Monash Health, Melbourne, VIC, Australia (Zand) Department of Neurology, College of Medicine, The Pennsylvania State University, Hershey, PA, United States |
Issue Date: | 15-Aug-2022 | Copyright year: | 2022 | Publisher: | Frontiers Media S.A. | Place of publication: | Switzerland | Publication information: | Frontiers in Neurology. 13 (no pagination), 2022. Article Number: 984467. Date of Publication: 20 Jul 2022. | Journal: | Frontiers in Neurology | DOI: | http://monash.idm.oclc.org/login?url=https://dx.doi.org/10.3389/fneur.2022.984467 | URI: | https://repository.monashhealth.org/monashhealthjspui/handle/1/48499 | Type: | Editorial | Subjects: | brain hemorrhage cardiometabolic risk cerebrovascular accident computer assisted tomography convolutional neural network coronavirus disease 2019 electronic health record general practitioner health care personnel histopathology hospital discharge hospital readmission medical technology neurology nuclear magnetic resonance imaging recurrent disease smoking thorax radiography |
Type of Clinical Study or Trial: | Opinion, perspective or news |
| Appears in Collections: | Articles |
Show full item record
Items in Monash Health Research Repository are protected by copyright, with all rights reserved, unless otherwise indicated.