Last Posted: Sep 26, 2019
- Feasibility and utility of a clinician dashboard from wearable and mobile application Parkinson’s disease data
JJ Elm et al, NPJ Digital Medicine, September 25, 2019 - Machine-learning identifies Parkinson's disease patients based on resting-state between-network functional connectivity.
Rubbert Christian et al. The British journal of radiology 2019 Sep 92(1101) 20180886 - Using gait analysis' parameters to classify Parkinsonism: A data mining approach.
Ricciardi Carlo et al. Computer methods and programs in biomedicine 2019 Aug 180105033 - Penetrance of Parkinson’s disease in LRRK2 p.G2019S carriers is modified by a polygenic risk score
H Iwaki et al, BioRXIV, August 20, 2019 - The genetics of Parkinson disease.
Deng Hao et al. Ageing research reviews 2018 Mar 4272-85 - Convolutional neural network-based segmentation can help in assessing the substantia nigra in neuromelanin MRI.
Le Berre Alice et al. Neuroradiology 2019 Aug - Towards On-Demand Virtual Physical Therapist: Machine Learning-Based Patient Action Understanding, Assessment and Task Recommendation.
Wei Wenchuan et al. IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society 2019 Aug - Artificial intelligence for assisting diagnostics and assessment of Parkinson's disease-A review.
Belic Minja et al. Clinical neurology and neurosurgery 2019 Jul 184105442 - [ 123 I]Metaiodobenzylguanidine (MIBG) Cardiac Scintigraphy and Automated Classification Techniques in Parkinsonian Disorders.
Nuvoli Susanna et al. Molecular imaging and biology : MIB : the official publication of the Academy of Molecular Imaging 2019 Jul - Harnessing digital technology to predict, diagnose, monitor, and develop treatments for brain disorders.
Stroud Clare et al. NPJ digital medicine 2019 244
.png)
No hay comentarios:
Publicar un comentario