A breast cancer detection model using a tuned svm classifier
Breast cancer has become a common disease that affects women all over the world. Early
detection and diagnosis of the breast cancer is crucial for an effective medication and …
detection and diagnosis of the breast cancer is crucial for an effective medication and …
[HTML][HTML] Novel Hybrid Quantum Architecture-Based Lung Cancer Detection Using Chest Radiograph and Computerized Tomography Images
Lung cancer, the second most common type of cancer worldwide, presents significant health
challenges. Detecting this disease early is essential for improving patient outcomes and …
challenges. Detecting this disease early is essential for improving patient outcomes and …
COVID-19 detection from thermal image and tabular medical data utilizing multi-modal machine learning
COVID-19 is a viral infectious disease that has created a global pandemic, resulting in
millions of deaths and disrupting the world order. Different machine learning and deep …
millions of deaths and disrupting the world order. Different machine learning and deep …
3PNMF-MKL: A non-negative matrix factorization-based multiple kernel learning method for multi-modal data integration and its application to gene signature …
In this current era, biomedical big data handling is a challenging task. Interestingly, the
integration of multi-modal data, followed by significant feature mining (gene signature …
integration of multi-modal data, followed by significant feature mining (gene signature …
SMLBT: secure machine learning and blockchain-based telemedicine model for the remote areas of developing countries
A reliable data safety model is currently an urgent demand for the healthcare system across
the world, especially for people dwelling in rural areas, and this domain requires top-notch …
the world, especially for people dwelling in rural areas, and this domain requires top-notch …
Explainable Artificial Intelligence (XAI) on Neurogenerative Diseases
L Gaur, D Gaur - AI and Neuro-Degenerative Diseases: Insights and …, 2024 - Springer
Artificial intelligence (AI) has the potential to revolutionize our understanding, diagnosis, and
treatment of neurodegenerative diseases. Neurodegenerative diseases, such as …
treatment of neurodegenerative diseases. Neurodegenerative diseases, such as …
[HTML][HTML] A Blockchain-Based Framework for COVID-19 Detection Using Stacking Ensemble of Pre-Trained Models
In recent years, COVID-19 has impacted millions of individuals worldwide, resulting in
numerous fatalities across several countries. While RT-PCR technology remains the most …
numerous fatalities across several countries. While RT-PCR technology remains the most …
Amyotrophic Lateral Sclerosis (ALS) Monitoring Using Explainable AI
L Gaur, D Gaur - AI and Neuro-Degenerative Diseases: Insights and …, 2024 - Springer
Abstract Amyotrophic Lateral Sclerosis (ALS), often referred to as Lou Gehrig's disease, is a
rare and debilitating neurodegenerative disorder that affects motor neurons in the brain and …
rare and debilitating neurodegenerative disorder that affects motor neurons in the brain and …
AI Enhancing Digital Communication in Neurodegenerative Disease Treatment
K Thapliyal, M Thapliyal - AI and Neuro-Degenerative Diseases: Insights …, 2024 - Springer
Artificial Intelligence is rapidly transforming the healthcare industry by facilitating healthcare
users with innovative digital products which are data driven, easy to use and accurate …
users with innovative digital products which are data driven, easy to use and accurate …
Ethical Considerations: Case Scenarios
L Gaur, D Gaur - AI and Neuro-Degenerative Diseases: Insights and …, 2024 - Springer
The integration of eXplainable Artificial Intelligence (XAI) in the management of
neurodegenerative diseases presents immense potential for improved patient care and …
neurodegenerative diseases presents immense potential for improved patient care and …