Neera Bhansali

TL;DR: A comparative analysis of various nature inspired algorithms to select optimal features/variables required for aiding in the classification of affected patients from the rest shows Binary Bat Algorithm outperformed traditional techniques like Particle Swarm Optimization (PSO), Genetic Algorithm and Modified Cuckoo Search Algorithm with a competitive recognition rate on the dataset of selected features.

TL;DR: Researcher compliance has significantly improved as evidenced by medical device researchers having the lowest rate of the most significant noncompliance, compared to rates of biologic or pharmaceutical researchers.

TL;DR: In the last decade, the number of violations observed under the Bioresearch Monitoring program has decreased; however, significant improvements can still be made regarding adherence to study procedures, the consenting of human research subjects, and creation of adequate and accurate study documentation.

TL;DR: The focus is on operational aspects of HIE to improve the process of sharing electronic health-related information among various organizations and strategy development, project management, architecture and infrastructure management.

TL;DR: In this chapter, authors have proposed an automated classification system based on Artificial Neural Network using Feed Forward Back-propagation Algorithm for Parkinson’s disease diagnosis by analyzing gait of a person.