Paper Details

Paper Title

Predicting Parkinson's Disease and Its Pathology via Simple Clinical Variables.

Paper Journal Title

J Parkinsons Dis

Paper Citation Count

Paper Publication Year

2022

Bio Mention

Lewy pathology, PD, Parkinson's Disease, Parkinson's disease, Participants, disabling, neurodegenerative disorder, nigral neuron, persons, predictors

Mesh Descriptor

Humans, Machine Learning, Parkinson Disease, Prodromal Symptoms, Prospective Studies, Risk Factors

Author Name	Affiliation
Ibrahim Karabayir	Loyola University Chicago
Ibrahim Karabayir	Kirklareli University
Liam Butler	Loyola University Chicago
Samuel M Goldman	University of California San Francisco
Samuel M Goldman
Rishikesan Kamaleswaran	Emory University
Rishikesan Kamaleswaran	Georgia Institute of Technology
Fatma Gunturkun	University of Tennessee Health Sciences Center
Robert L Davis	University of Tennessee Health Sciences Center
George Webster Ross
George Webster Ross	University of Hawaii
Helen Petrovitch
Helen Petrovitch	University of Hawaii
Kamal Masaki	University of Hawaii
Kamal Masaki	Kuakini Medical Center
Caroline M Tanner	University of California San Francisco
Caroline M Tanner
Georgios Tsivgoulis	University of Tennessee Health Sciences Center
Andrei V Alexandrov	University of Tennessee Health Sciences Center
Lokesh K Chinthala	University of Tennessee Health Sciences Center
Oguz Akbilgic	Wake Forest School of Medicine

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