Computerized analysis of speech and voice for Parkinson's disease: A systematic review
Background and objective Speech impairment is an early symptom of Parkinson's disease
(PD). This study has summarized the literature related to speech and voice in detecting PD …
(PD). This study has summarized the literature related to speech and voice in detecting PD …
A systematic review of artificial intelligence (AI) based approaches for the diagnosis of Parkinson's disease
Parkinson's disease (PD) is a neurodegenerative disorder that primarily affects the elderly
for over 55 years. PD can be characterised by patients exhibiting various non-motor and …
for over 55 years. PD can be characterised by patients exhibiting various non-motor and …
Efficient intrusion detection system in the cloud using fusion feature selection approaches and an ensemble classifier
The application of cloud computing has increased tremendously in both public and private
organizations. However, attacks on cloud computing pose a serious threat to confidentiality …
organizations. However, attacks on cloud computing pose a serious threat to confidentiality …
Image-based Parkinson disease detection using deep transfer learning and optimization algorithm
S Agrawal, SP Sahu - International Journal of Information Technology, 2024 - Springer
Parkinson's disease (PD) is typically a neurodegenerative disorder that slowly affects the
brain, causes muscle stiffness, limb tremor and impaired balance that tends to get worsen …
brain, causes muscle stiffness, limb tremor and impaired balance that tends to get worsen …
Review of the algorithms used in exhaled breath analysis for the detection of diabetes
A Paleczek, A Rydosz - Journal of breath research, 2022 - iopscience.iop.org
Currently, intensive work is underway on the development of truly noninvasive medical
diagnostic systems, including respiratory analysers based on the detection of biomarkers of …
diagnostic systems, including respiratory analysers based on the detection of biomarkers of …
Research on diabetes prediction method based on machine learning
J Xue, F Min, F Ma - Journal of Physics: Conference Series, 2020 - iopscience.iop.org
Diabetes mellitus (DM) is a metabolic disease characterized by high blood sugar. The main
clinical types are type 1 diabetes and type 2 diabetes. Now, the proportion of young people …
clinical types are type 1 diabetes and type 2 diabetes. Now, the proportion of young people …
A hybrid feature selection approach for parkinson's detection based on mutual information gain and recursive feature elimination
Parkinson's disease, which affects the neurological system of patients, is the second most
common neurodegenerative ailment after Alzheimer's disease. Parkinson's disease is most …
common neurodegenerative ailment after Alzheimer's disease. Parkinson's disease is most …
A machine learning method with hybrid feature selection for improved credit card fraud detection
With the rapid developments in electronic commerce and digital payment technologies,
credit card transactions have increased significantly. Machine learning (ML) has been vital …
credit card transactions have increased significantly. Machine learning (ML) has been vital …
An IoT based predictive modeling for Glaucoma detection in optical coherence tomography images using hybrid genetic algorithm
The primary cause of irreversible blindness due to glaucoma is a silent, progressive disease
with no noticeable symptoms. This eye disease gradually and rapidly damages the optic …
with no noticeable symptoms. This eye disease gradually and rapidly damages the optic …
A genetic algorithm-based ensemble learning framework for drug combination prediction
L Wu, X Ye, Y Zhang, J Gao, Z Lin, B Sui… - Journal of Chemical …, 2023 - ACS Publications
Combination therapy is a promising clinical treatment strategy for cancer and other complex
diseases. Multiple drugs can target multiple proteins and pathways, greatly improving the …
diseases. Multiple drugs can target multiple proteins and pathways, greatly improving the …