Predicting patients with Parkinson's disease using Machine Learning and ensemble voting technique

S Saleh, B Cherradi, O El Gannour, S Hamida… - Multimedia Tools and …, 2024 - Springer
Parkinson's disease is the second most common neurological disorder that causes
significant physical disabilities, decreases the quality of life, and does not have a cure …

[HTML][HTML] TasLA: An innovative Tasmanian and Lichtenberg optimized attention deep convolution based data fusion model for IoMT smart healthcare

AO Khadidos, AO Khadidos, S Selvarajan… - Alexandria Engineering …, 2023 - Elsevier
Abstract The Internet of Medical Things (IoMT) bolstered the smart health care industry in
present times by enabling quicker patient monitoring and disease diagnosis. However, there …

Automated Arrhythmia Classification Using Farmland Fertility Algorithm with Hybrid Deep Learning Model on Internet of Things Environment

AS Almasoud, HA Mengash, MM Eltahir, NS Almalki… - Sensors, 2023 - mdpi.com
In recent years, the rapid progress of Internet of Things (IoT) solutions has offered an
immense opportunity for the collection and dissemination of health records in a central data …

Advancements in Tumor Detection and Classification

M Puri, A Garg, L Rani - Bio‐Inspired Optimization for Medical …, 2024 - Wiley Online Library
In the discipline of oncology, tumor identification and classification are crucial because early
and precise tumor diagnosis can considerably increase the likelihood of effective therapy …

Prediction of stroke patients' bedroom-stay duration: machine-learning approach using wearable sensor data

T Ogasawara, M Mukaino, K Matsunaga… - … in Bioengineering and …, 2024 - frontiersin.org
Background: The importance of being physically active and avoiding staying in bed has
been recognized in stroke rehabilitation. However, studies have pointed out that stroke …

Empowering Healthcare with AI: Addressing Challenges and Envisioning the Future

RT Mylavarapu, A Pokhriyal… - … on Electronics and …, 2023 - ieeexplore.ieee.org
The healthcare industry faces immense pressure due to increasing acute diseases,
emergencies, and rising healthcare costs. Developing an intelligent healthcare system can …

Diagnosis of Neurological Disease Using Bioinspired Algorithms

I Ul Haq - Bio‐Inspired Optimization for Medical Data Mining, 2024 - Wiley Online Library
Neurological diseases have a significant impact on individuals, families, and society.
Accurate and timely diagnosis is crucial for effective treatment and management. However …

Enhanced ECG Signal features transformation to RGB matrix imaging for advanced deep learning classification of myocardial infarction and cardiac arrhythmia

Z Khatar, D Bentaleb - Multimedia Tools and Applications, 2024 - Springer
Identifying and accurately classifying cardiac abnormalities, including myocardial infarction
(MI) and cardiac arrhythmia (CA), remains a significant challenge in the field of cardiology …

Optimizing Artificial Neural‐Network Using Genetic Algorithm

B Pratap, S Bansal - Bio‐Inspired Optimization for Medical …, 2024 - Wiley Online Library
Artificial neural networks (ANNs) is a processing system which is adaptive and nonlinear in
nature. One has to select the suitable number of neurons to perform ANN as insufficient …

A Simulation‐Based Study of a Digital Twin Model of the Air Purifier System in Chandigarh Using LabVIEW

J Verma, M Sethi, V Baggan, M Snehi… - … Techniques of Digital …, 2024 - Wiley Online Library
Digital Twin's popularity is growing in the past few years due to its great potential in
manufacturing, healthcare, and other electronic infrastructures. A digital twin presents a …