Healthcare systems are being developed with the passage of time and have been digitally transmuted by technological advancements in medical information systems, electronic medical records, wearable and smart devices, and handheld devices. The growth in medical big data, alongside the development of computational approaches in the area of healthcare, has empowered researchers and practitioners to extract and visualize medical big data in a new spectrum.

Scientific programming is considered to be a key tool and plays an important role in providing solutions to existing and future issues involved in the managing of large scale data in healthcare, such as by supporting in the processing of huge data volumes, complex system modelling, and sourcing derivations from healthcare data and simulations. Programming tools, including Apache Hadoop, Informatica PowerCenter, and Tableau, analyze data extremely efficiently and enable the visualization of meaningful insights extracted from big data. Visualization will be a key tool in creating images, diagrams, or animations by which to communicate healthcare messages and enhance understanding.

This Special Issue invites original research articles and review articles that address the incorporation of big data and healthcare based on scientific programming and its applications. Research that considers technological and computational barriers to big data management is particularly welcome.

Potential topics include but are not limited to the following:

• Scientific programming tools and their applications in healthcare big data
• Scientific programming for medical big data visualization and representation
• Machine and/or deep learning algorithms and applications in big data analytics for healthcare
• Accurate decision support systems for big data in healthcare
• Data mining in IoT and healthcare systems
• Data warehouse and knowledge representation in healthcare technologies
• Overview of the tools for healthcare data
• Massive information in healthcare
• Probabilistic computing approaches to the management of big data in healthcare
• Decision support systems for healthcare big data and massive information