Predicting patients with Parkinson's disease using Machine Learning and ensemble voting technique
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 …
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
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 …
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
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 …
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 …
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 …
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 …
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 …
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 …
(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 …
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
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 …
manufacturing, healthcare, and other electronic infrastructures. A digital twin presents a …