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Data Mining and Knowledge Discovery in Healthcare Analytics

Editorial Board
Lead Guest Editors:
  • Rohit Tanwar ()
  • Kulvinder Singh (Kurukshetra University Kurukshetra)+ BioM.Tech (CSE), Ph.D. 95 Research international Papers
  • SAIKISHOR JANGITI ()+ BioSaikishor Jangiti is an Assistant Professor and pursuing Ph.D. in School of Computing, SASTRA Deemed University, Thanjavur, India. He received his B.Tech. in CS&IT from Jawaharlal Nehru Technological University, Hyderabad in 2005 and M.Tech. in CSE from Sri Venkateswara University, Tirupati in 2007. His research interests include artificial intelligence, greedy algorithms, multi-agent systems, machine learning, and cloud computing.
Aims & Scope
The Modern healthcare industry, generating big-data consists of health records from medical monitoring devices; mobile apps related to health, etc. While the generated data is composed of semi-structured, structured, and unstructured data, knowledge-discovery from this data gives direct interest to the healthcare industry, to extract the value adding information that will help the society in positive impact. With the advancement of data mining and analytics, we are able to generate the models for the understanding the insights of novel diseases. These insights improve the efficiency of the healthcare industry in decision support and total cost reduction of the systems.The special issue aims to encourage the submission of fundamentals, applications, theory and practical implementation on health data. The issue will provide a clear understanding of the data analysis techniques that are currently available to solve the problems of the healthcare industry. The topics include the following:
  • Data Mining Methods for healthcare analysis
  • Medical Analytics for Healthcare Intelligence
  • Medical Expert System
  • Data Mining of Health Data on the Cloud
  • Text Mining and Natural Language Processing in Medical Documents
  • Health Data Collection, Transmission and Storage in IoT
  • Deep Learning Applications in Healthcare
  • Medical and Sensor Data Stream Processing
  • Intelligent Medical Devices and Sensors
  • Data mining for Telemedicine Applications
  • Modelling with Time in Medical Data and Systems
  • Linked Open Data and Recommender Systems on Health Data
  • Privacy-preserving and Secured Data Mining on Health Data
Manuscript submission deadline:
Notification of acceptance:
Submission of final revised paper:
Publication of special issue (tentative):

Pervasive Health and Technology
Submission Closed