Early detection of Parkinson's disease through multimodal features using machine learning approaches

Author(s):  
Gunjan Pahuja ◽  
T.N. Nagabhushan ◽  
Bhanu Prasad ◽  
Ravi Pushkarna
IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 147635-147646 ◽  
Author(s):  
Wu Wang ◽  
Junho Lee ◽  
Fouzi Harrou ◽  
Ying Sun

2018 ◽  
Vol 46 (12) ◽  
pp. 2057-2068 ◽  
Author(s):  
Erika Rovini ◽  
Carlo Maremmani ◽  
Alessandra Moschetti ◽  
Dario Esposito ◽  
Filippo Cavallo

Author(s):  
Zhiwei Zeng ◽  
Hongchao Jiang ◽  
Yanci Zhang ◽  
Zhiqi Shen ◽  
Jun Ji ◽  
...  

Population aging is becoming an increasingly important issue around the world. As people live longer, they also tend to suffer from more challenging medical conditions. Currently, there is a lack of a holistic technology-powered solution for providing quality care at affordable cost to patients suffering from co-morbidity. In this paper, we demonstrate a novel AI-powered solution to provide early detection of the onset of Dementia + Parkinson's disease (DPD) co-morbidity, a condition which severely limits a senior's ability to live actively and independently. We investigate useful in-game behaviour markers which can support machine learning-based predictive analytics on seniors' risk of developing DPD co-morbidity.


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