A novel CERNNE approach for predicting Parkinson’s Disease-associated genes and brain regions based on multimodal imaging genetics data

Data augmentation of wearable sensor data for parkinson's disease monitoring using convolutional neural networks

Terry Taewoong Um · mediaTUM (Technical University of Munich) · 635 citations · Full text

Computing, Biomedical Engineering, Computer Science +14

Data augmentation of wearable sensor data for parkinson’s disease monitoring using convolutional neural networks

2017 · 605 citations · Full text

Computing, Biomedical Engineering, Computer Science +14

Predicting miRNA–disease association based on inductive matrix completion

Xing Chen, Lei Wang, Jia Qu et al. · Bioinformatics · 2018 · 477 citations · Full text

Life Sciences, Bioinformatics, Biomedical Informatics +12

Evaluation of handwriting kinematics and pressure for differential diagnosis of Parkinson's disease

Peter Drotár, Jiří Mekyska, Irena Rektorová et al. · Artificial Intelligence in Medicine · 2016 · 345 citations · Full text

Life Sciences, Neurology, Neuroscience +12

Training feedforward neural networks using multi-verse optimizer for binary classification problems

Hossam Faris, Ibrahim Aljarah, Seyedali Mirjalili · Applied Intelligence · 2016 · 214 citations

Computing, Computer Science, Mathematics +12