Simulations and Machine Learning via Big Data for Prediction, Detection, Treatment or Rehabilitation in the Healthcare Process

Dear Colleagues,

Prediction, detection, treatment, and rehabilitation are of great importance in any healthcare process. The complexity of healthcare brings with it the need to perform simulations and/or apply machine learning algorithms for prediction, detection, treatment or rehabilitation. With the rise in big data, these data can also be used to enhance the current systems of modeling or predictive analysis. Therefore, it is in the interest, as part of enhancing modern healthcare, to tap into big data using viable simulations and machine learning techniques to enhance the state of our current healthcare services.

This Special Issue offers an opportunity for novel interdisciplinary research and reviews that report on the extensive range of simulation or machine learning techniques applied to public healthcare using big data. We welcome manuscripts focusing on, but not restricted to, medical technologies, clinical practice, complexity study, simulations and validation through data fitting, machine learning, and novel methods of collecting data in healthcare. The study should cover aspects of detection, treatment or rehabilitation.

Dr. Kang Hao Cheong
Guest Editors

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