Call for chapters on Tracking and Preventing Diseases with AI

Hi again, I am happy to announce that I am also co-editing an upcoming book about “Tracking and Preventing Diseases with Artificial Intelligence“, to be published by Springer in 2021.

This book is open to a wide varieties of topics related to health and artificial intelligence, including:

  • Artificial intelligence in health informatics
  • AI for predicting diseases
  • Predicting disease progression using biomarkers
  • Disease prevention using AI
  • Data mining approaches for medical pathway analysis
  • Big data analytics for predicting diseases
  • Artificial intelligence for medical resource management
  • Biomedical image analysis
  • AI for infectious disease tracking
  • Computer-aided automated diagnosis using AI
  • Devices, systems and innovative technologies for disease tracking
  • Wearable technology for disease tracking
  • IoT for disease tracking
  • AI for personal health management
  • AI-based systems for training health professionals
  • Software and public datasets for health informatics
  • Issues, challenges and future prospects in health informatics
  • Case studies related to incurable diseases, neurogenerative diseases, etc.

The deadline are as follows:

  • Chapter Submission Deadline: 15th October 2020
  • Acceptance Notification: 15th December 2020
  • Camera Ready Submission: 31st December 2020

The chapters must be formatted using the Springer format for contributed books, and have a maximum of 30 pages in Word or Latex. Accepted chapters are published free of charge.

For more details, please refer to the call-for-chapters!

Hope to see your chapter submissions soon!


Philippe Fournier-Viger is a computer science professor and founder of the SPMF open-source data mining library, which offers more than 170 algorithms for analyzing data, implemented in Java.

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