International Conference on Public Health Analytics with Big Data

ICPHABD

3rd Nov – 4th Nov 2026 Tokyo, Japan

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Registration Summary

Conference ICPHABD

Date 3rd Nov – 4th Nov 2026

Location Tokyo, Japan

Participation Type Listener

Organizer Science Leagues

Registration Mode Standard / Physical

Registration Fee USD 0.00

Bank Convenience Charges (5.8%)i USD 0.00

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Conference Session Tracks

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

01 Innovations in Predictive Analytics for Public Health +

This track focuses on the development and application of predictive analytics techniques in public health. It aims to explore innovative methodologies that enhance forecasting accuracy and decision-making in healthcare.

SDG 3 SDG 4

02 AI-Driven Solutions for Health Informatics +

This session will delve into the integration of artificial intelligence in health informatics systems. Participants will discuss the implications of AI technologies on data management and patient care.

SDG 3 SDG 9

03 Data Integration Strategies in Public Health +

This track addresses the challenges and solutions associated with integrating diverse healthcare data sources. Emphasis will be placed on methodologies that promote interoperability and data sharing.

SDG 9 SDG 10

04 Machine Learning Applications in Epidemiology +

This session explores the role of machine learning in advancing epidemiological research. Attendees will examine case studies that showcase the effectiveness of machine learning models in disease prediction and outbreak management.

SDG 3 SDG 4

05 Data Visualization Techniques for Health Analytics +

This track highlights the importance of data visualization in interpreting complex health data. Participants will share best practices and tools that facilitate effective communication of health analytics findings.

SDG 3 SDG 9

06 Optimizing Health Analytics Systems for Better Outcomes +

This session focuses on strategies for optimizing health analytics systems to improve public health outcomes. Discussions will center on system design, performance metrics, and user engagement.

SDG 3 SDG 11

07 Governance and Ethics in Big Data Health Analytics +

This track examines the ethical considerations and governance frameworks necessary for responsible big data use in healthcare. Participants will discuss policies that ensure data privacy and security while promoting innovation.

SDG 16

08 Intelligent Systems in Public Health Decision-Making +

This session will explore the implementation of intelligent systems in public health decision-making processes. The focus will be on how these systems can enhance efficiency and effectiveness in health interventions.

SDG 3 SDG 9

09 Innovative Strategies for Data-Driven Public Health +

This track encourages discussions on innovative strategies that leverage big data for public health initiatives. Participants will share insights on successful case studies and future directions in data-driven health policies.

SDG 3 SDG 11

10 Epidemiological Modeling with Big Data +

This session focuses on the use of big data in epidemiological modeling to understand disease patterns and trends. Attendees will discuss advanced modeling techniques and their implications for public health planning.

SDG 3 SDG 4

11 Health Data Analytics for Community Health Improvement +

This track addresses the application of health data analytics in improving community health outcomes. Participants will explore collaborative approaches that engage communities in data-driven health initiatives.

SDG 3 SDG 11