A Comprehensive review on AI-enabled models for Parkinson's disease diagnosis
Parkinson's disease (PD) is a devastating neurological disease that cannot be identified with
traditional plasma experiments, necessitating the development of a faster, less expensive …
traditional plasma experiments, necessitating the development of a faster, less expensive …
Machine learning applied to diagnosis of human diseases: A systematic review
N Caballé-Cervigón, JL Castillo-Sequera… - Applied Sciences, 2020 - mdpi.com
Human healthcare is one of the most important topics for society. It tries to find the correct
effective and robust disease detection as soon as possible to patients receipt the …
effective and robust disease detection as soon as possible to patients receipt the …
[HTML][HTML] Subtyping of Parkinson's disease-where are we up to?
E Qian, Y Huang - Aging and disease, 2019 - ncbi.nlm.nih.gov
Heterogenous clinical presentations of Parkinson's disease have aroused several attempts
in its subtyping for the purpose of strategic implementation of treatment in order to maximise …
in its subtyping for the purpose of strategic implementation of treatment in order to maximise …
A review of machine learning and deep learning algorithms for Parkinson's disease detection using handwriting and voice datasets
Parkinson's Disease (PD) is a prevalent neurodegenerative disorder with sig-nificant clinical
implications. Early and accurate diagnosis of PD is crucial for timely intervention and …
implications. Early and accurate diagnosis of PD is crucial for timely intervention and …
Heterogeneous digital biomarker integration out-performs patient self-reports in predicting Parkinson's disease
Parkinson's disease (PD) is one of the first diseases where digital biomarkers demonstrated
excellent performance in differentiating disease from healthy individuals. However, no study …
excellent performance in differentiating disease from healthy individuals. However, no study …
Optimization‐Based Ensemble Feature Selection Algorithm and Deep Learning Classifier for Parkinson's Disease
B Sabeena, S Sivakumari… - Journal of Healthcare …, 2022 - Wiley Online Library
PD (Parkinson's Disease) is a severe malady that is painful and incurable, affecting older
human beings. Identifying PD early in a precise manner is critical for the lengthened survival …
human beings. Identifying PD early in a precise manner is critical for the lengthened survival …
Using machine learning to diagnose Parkinson's disease from voice recordings
Parkinson's Disease (PD) is a debilitating neurodegenerative disease which cannot be
diagnosed through standardized blood tests, so a faster, cheaper diagnostic tool is …
diagnosed through standardized blood tests, so a faster, cheaper diagnostic tool is …
[HTML][HTML] A systematic review on data mining application in Parkinson's disease
Data mining techniques have taken a significant role in the diagnosis and prognosis of many
health diseases. Still, very little work has been initialized in neurological medical informatics …
health diseases. Still, very little work has been initialized in neurological medical informatics …
A study on the essential and Parkinson's arm tremor classification
V Skaramagkas, G Andrikopoulos, Z Kefalopoulou… - Signals, 2021 - mdpi.com
In this article, the challenge of discriminating between essential and Parkinson's tremor is
addressed. Although a variety of methods have been proposed for diagnosing the severity of …
addressed. Although a variety of methods have been proposed for diagnosing the severity of …
A Comparative Study of Early Detection of Parkinson's Disease using Machine Learning Techniques
Parkinson's Disease (PD) is considered a malison for mankind for several decades. Its
detection with the help of an automated system is a subject undergoing intense study. This …
detection with the help of an automated system is a subject undergoing intense study. This …