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1.1.1 Scope and Motivation

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Exploring different classification and integration algorithms to perceive teams in an exceedingly real-world health record data stored electronically having high dimension capacity and find algorithms that detect clusters within reasonable computation time and ability to scale with increasing data size/features while giving the highest possible accuracy. Diagnosis is a challenging process that, as of today, involves many human-to-human interactions. A machine would increase the speed of giving a diagnosis and lead to a more rapid treatment decision and would be able to detect rare events easier than humans.

Bioinformatics and Medical Applications

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