International Conference on Healthcare Data and Analytics (ICHDA - 27)

This track explores the integration of alternative health practices with conventional medicine. It aims to highlight empirical studies and data-driven insights that validate the efficacy of alternative therapies.

This session focuses on the latest methodologies and technologies in healthcare data analytics. Participants will discuss how these advancements can improve patient outcomes and operational efficiency.

This track addresses the potential of big data to transform healthcare delivery while also examining the challenges it presents. Discussions will include data privacy, security, and ethical considerations.

This session highlights the application of machine learning techniques in analyzing health data. Researchers will present case studies that demonstrate the effectiveness of these methods in predictive analytics.

This track delves into the use of predictive and prescriptive analytics to enhance clinical decision-making. Presentations will focus on algorithm development and real-world applications in healthcare settings.

This session examines the role of data warehousing and data lakes in managing healthcare data. Participants will explore best practices for data integration and accessibility to support analytics initiatives.