Registration summary
ConferenceICDSHFSS
ModeStandard / Physical
ParticipationListener
Registration fee$155.00
Bank charges (5.8%)$8.99
Total payable$163.99
Includes all bank processing charges — the amount above is exactly what will be charged.
Benefits of Registering as Listener
Access to Conference Sessions
Networking Opportunities
Certificate of Participation
Invitation Letter Support
Conference Kit / Materials
Access to Keynote Sessions
• Conference Session Tracks •
SDG-Aligned Research Themes
ICDSHFSS conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.
01 Innovations in Healthcare Analytics +
This track focuses on the application of data science techniques to improve healthcare outcomes. Topics include predictive modeling, patient data analysis, and the integration of machine learning in clinical settings.
02 Financial Modeling and Risk Analysis +
This session explores advanced statistical methods and data-driven approaches for financial modeling. Participants will discuss risk assessment techniques and the role of big data in enhancing financial decision-making.
03 Statistical Methods in Social Science Research +
This track highlights the application of statistical techniques in social science research. It aims to foster discussions on quantitative methods, data mining, and the interpretation of social data.
04 Machine Learning Applications in Healthcare +
This session examines the role of machine learning algorithms in healthcare analytics. Participants will explore case studies and methodologies that demonstrate the effectiveness of AI in improving patient care.
05 Big Data and Predictive Analytics +
This track delves into the intersection of big data and predictive analytics across various domains. It will cover techniques for data processing, analysis, and the implications of predictive modeling.
06 Statistical Modeling Techniques +
This session focuses on the development and application of statistical models in various fields. Participants will discuss regression analysis, simulation methods, and the challenges of model validation.
07 Applied Statistics in Decision Support Systems +
This track emphasizes the use of applied statistics in enhancing decision support systems. It will explore methodologies that integrate statistical analysis with decision-making processes.
08 Data Mining Techniques and Applications +
This session is dedicated to the exploration of data mining techniques and their applications in diverse fields. Participants will share insights on extracting valuable information from large datasets.
09 Quantitative Methods in Financial Analysis +
This track focuses on quantitative methods utilized in financial analysis and modeling. Participants will discuss statistical techniques that aid in investment decisions and market predictions.
10 Simulation and Modeling in Healthcare +
This session explores the use of simulation techniques in healthcare settings. Participants will discuss the benefits of modeling patient flow, resource allocation, and treatment outcomes.
11 Probability and Risk Management in Data Science +
This track examines the role of probability theory in risk management within data science. It will cover methods for assessing uncertainty and making informed decisions based on statistical evidence.
