Advanced Artificial Intelligence and Machine Learning in Electronic Healthcare

Submission Deadline: 30 September 2022 (closed)

Guest Editors

Dr. Mohammad Tabrez Quasim, University of Bisha, Saudi Arabia.
Dr. Shadab Alam, Jazan University, KSA.
Dr. Asadullah Shaikh, Najran University, Saudi Arabia.
Prof. Subhendu Kumar Pani, Biju Patnaik University of Technology (BPUT), India.


Artificial intelligence (AI) and related domains like machine learning and deep learning have risen in recent years. Applications of AI-based technologies in healthcare are enormous and ranges from simple data analysis to complex disease prediction and precision medicine development. The digitisation of health records in the form of Electronic Health Records (EHRs) that store the patient records and other details like lab results, medications and other historical data has provided a platform for utilising these details using AI-based techniques for delivering deep insight to patient information and present a detailed analysis and predictive capability. Also, the rise in the Internet of Things (IoT) applications for sensing and monitoring the patients continuously also helped get more details and information in real-time. These applications of IoT is generally referred to as the Internet of Medical Things (IoMT). Several other related technologies like fog computing, edge computing and data analytics, and traditional cloud computing applications are also being used actively for medical and healthcare domains to record the patient details and further process them for diagnosis and provide intelligent healthcare solutions. Security and privacy of records are also a severe concern in situations where personal and critical information are being recorded, and various transactions on these records are taking place. Blockchain is a novel solution for providing secure transactions and assuring private and immutable records. Medical and healthcare have a massive opportunity for blockchain application in each healthcare domain and is being actively used by researchers to propose a different solution. This special issue tries to present the latest trends and applications of digital innovations in the domain of healthcare and provide a futuristic approach for various applications and solutions in the field of digital healthcare.


• Artificial intelligence and machine learning applications for predictive health analysis and other applications
• AI and blockchain assisted medical product and medicine design
• IoMT applications and designs for innovative healthcare Systems
• Machine and deep learning approaches for COVID-19 and other pandemics
• Innovative digital technologies for elderly and disabled homecare
• Natural language processing applications in healthcare
• Data visualisation and machine learning for efficient tracking of pandemic
• IoT and blockchain applications for sustainable healthcare services
• AI and big data analytics applications in the medical domain
• Virtual Reality, Augmented Reality & Extended Reality in Healthcare
• Healthcare Trackers, Wearables, And Sensors
• Predictive healthcare analytics and digital technologies
• Privacy and security issues with patient health records and blockchain technology
• Edge and fog computing applications to support healthcare systems

Published Papers

  • Open Access


    Applying English Idiomatic Expressions to Classify Deep Sentiments in COVID-19 Tweets

    Bashar Tahayna, Ramesh Kumar Ayyasamy
    Computer Systems Science and Engineering, Vol.47, No.1, pp. 37-54, 2023, DOI:10.32604/csse.2023.036648
    (This article belongs to this Special Issue: Advanced Artificial Intelligence and Machine Learning in Electronic Healthcare)
    Abstract Millions of people are connecting and exchanging information on social media platforms, where interpersonal interactions are constantly being shared. However, due to inaccurate or misleading information about the COVID-19 pandemic, social media platforms became the scene of tense debates between believers and doubters. Healthcare professionals and public health agencies also use social media to inform the public about COVID-19 news and updates. However, they occasionally have trouble managing massive pandemic-related rumors and frauds. One reason is that people share and engage, regardless of the information source, by assuming the content is unquestionably true. On Twitter, users use words and phrases… More >

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