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Modern medicine and healthcare are highly dependent on engineering, employing instrumentation and computer systems to aid investigation, diagnosis, treatment and patient management. The significant developments in the field of computational intelligence, combined with the emergence of high-performance computing is impacting society in many ways, and the health sector is no exception. The interface of high-performance computing, computational intelligence and medical science, has seen the emergence of intelligent medical systems. These systems can provide a deeper insight into many healthcare and medical problems. They can also aid in controlling, analyzing and the management of medical applications and can provide significant improvement in the quality of life and efficacy of clinical treatment. However, the successful application of high-performance computing in medicine requires in-depth knowledge and understanding of medical systems.
Automatic detection of hypertension by flexible analytic wavelet transform using electrocardiogram signals
Computational intelligence in surface electromyogram signal classification
Analysis of IoT interventions to solve voice pathologies challenges
Deep learning for cuffless blood pressure monitoring
Reliability of machine learning methods for diagnosis and prognosis during the COVID-19 pandemic: a comprehensive critical review
Forecasting confirmed cases of Corona patients in India using regression and Gaussian analysis
A model for advanced patient feedback procedures in diagnostics
Soft computing techniques for efficient processing of large medical data
A comparison of Parkinson's disease prediction using ensemble data mining techniques with features selection methods
A comparative analysis of image enhancement techniques for detection of microcalcification in screening mammogram
Computational intelligence for eye disease detection
Recent trends in medical image segmentation with special focus on brain tumours and retinal images
Analysis of AI based PID controller for health care system