Parkinson's Dataset

Abstract

Neurodegenerative disorders, such as Alzheimer’s and Parkinson’s, constitute a major factor in long-term disability and are becoming more and more a serious concern in developed countries. As there are, at present, no effective therapies, early diagnosis along with avoidance of misdiagnosis seem to be critical in ensuring a good quality of life for patients. In this sense, the adoption of computer-aided-diagnosis tools can offer significant assistance to clinicians. In this work, we provide in the first place a comprehensive recording of medical examinations relevant to those disorders. Then, a review is conducted concerning the use of Machine Learning techniques in supporting diagnosis of neurodegenerative diseases, with reference to at times used medical datasets. Special attention has been given to the field of Deep Learning. In addition to that, we communicate the launch of a newly created dataset for Parkinson’s disease, containing paraclinical data (925 Dat Scan images and 41,528 MRI images of 78 subjects in total -55 patients and 23 non-patients-), clinical data and epidemiological and treatment data for Parkinson's Disease prediction.

How to acquire the data

If you want access to the dataset, email me at: d.kollias@qmul.ac.uk from your official academic email (as data cannot be released to personal emails) with subject: Parkinson's dataset request and include your job/title and official academic website in the email body.

Page updated

Google Sites

Report abuse