Intelligent Technologies and Parkinson’s Disease: Prediction and Diagnosis serves as a beacon of hope in the quest to revolutionize Parkinson's disease diagnosis and treatment. It unveils the remarkable potential of artificial intelligence (AI) and machine learning (ML) in remodeling the way we approach this debilitating condition. With a comprehensive exploration of AI's capacity to analyze speech patterns, brain imaging data, and gait patterns, this book offers a powerful solution to the challenges of early detection and accurate diagnosis.
Whether you're a seasoned academic scholar or a passionate researcher, this book is your key to unlocking the future of Parkinson's disease management. It not only sheds light on the ethical considerations of using machine learning but also highlights the benefits, challenges, and real-world impact on patient care, diagnostic accuracy, and cost-effectiveness. With a diverse range of recommended topics, from handwriting kinematics to voice recordings and deep learning-CNN applications, this book equips you with the knowledge and tools you need to make a difference in the fight against Parkinson's disease.
Coverage:
The many academic areas covered in this publication include, but are not limited to:
•Accurate Diagnosis
•Biomedical Scholars
•Brain Imaging Data
•Cost-Effectiveness
•Deep Learning-CNN Applications
•Digital Ethics Concerns
•Early Detection of Diseases
•Gait Patterns Analysis
•Intelligent Technologies
•Machine Learning
•Neurodegenerative Disorder
•Parkinson's Disease
•Progressive Symptoms
•Speech Patterns Analysis
Whether you're a seasoned academic scholar or a passionate researcher, this book is your key to unlocking the future of Parkinson's disease management. It not only sheds light on the ethical considerations of using machine learning but also highlights the benefits, challenges, and real-world impact on patient care, diagnostic accuracy, and cost-effectiveness. With a diverse range of recommended topics, from handwriting kinematics to voice recordings and deep learning-CNN applications, this book equips you with the knowledge and tools you need to make a difference in the fight against Parkinson's disease.
Coverage:
The many academic areas covered in this publication include, but are not limited to:
•Accurate Diagnosis
•Biomedical Scholars
•Brain Imaging Data
•Cost-Effectiveness
•Deep Learning-CNN Applications
•Digital Ethics Concerns
•Early Detection of Diseases
•Gait Patterns Analysis
•Intelligent Technologies
•Machine Learning
•Neurodegenerative Disorder
•Parkinson's Disease
•Progressive Symptoms
•Speech Patterns Analysis