L2S Talk by Prof Sonali Agarwal (Big Data Analytics Lab, Indian Institute of Information Technology): “Addressing Uncertainties and Challenges in Big Data for Healthcare”
24 September 2024, 14-15 h in PB-H 0103
The talk is part of the ZESS lecture series and hosted by the DFG research unit “Learning to Sense” (L2S).
This session explores strategies to address uncertainties and challenges in healthcare big data, focusing on concept drift, complex event processing (CEP), and multimodal data integration. Concept drift, where data properties change over time, can undermine predictive models; adaptive techniques are discussed to maintain model accuracy. CEP enables real-time analysis of data streams, supporting timely decision-making and improving patient outcomes. Multimodal data integration synthesizes diverse data types into a unified framework, essential for comprehensive patient understanding. Together, these approaches enhance the reliability and effectiveness of big data analytics in healthcare.
Prof Agrawal is presently working as an Associate Professor in the Information Technology Department of the Indian Institute of Information Technology, Allahabad. She received her Ph.D. at IIIT Allahabad and joined as faculty at IIIT Allahabad, where she is teaching since October 2009. Her main research interests are in the areas of Stream Analytics, Big Data, Stream Data Mining, Complex Event Processing System, Support Vector Machines and Software Engineering.
