LEVERAGING CLOUD TECHNOLOGY FOR PERSONALIZED MULTIPLE SCLEROSIS CARE: A COMPREHENSIVE DATA MANAGEMENT AND VISUALIZATION APPROACH

Leveraging Cloud Technology for Personalized Multiple Sclerosis Care: A Comprehensive Data Management and Visualization Approach

This project develops a cloud-based usc gamecocks online solution for securely managing clinical data and patient-reported outcomes (PROMs) for multiple sclerosis (MS) patients.Utilizing REDCap for data collection, we incorporated clinical outcomes and PROMs from 300 MS patients over 18 months, supporting a machine learning (ML) based clinical deci

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Study on autonomous braking control system based on motion prediction considering overtaking motion of cyclists

This paper presents motion prediction model of cyclist based on potential field for a hazard-anticipatory collision avoidance braking system to enhance the collision avoidance performance and secure the smoothness of driving.The target situation is chosen as the scene that a cyclist overtakes a pedestrian or another slowcyclist based on the traffic

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