Background: Today, IoT-based systems are widely used in various applications. Intellectual
analysis of the data collected by IoT devices is an important task for the efficient and …

This article considers the current problem of investigation mobile application and
development of mobile system for medical recommendations. The article develops a method …

The study was conducted by applying machine learning and data mining methods to
treatment personalization. This allows individual patient characteristics to be investigated …

The analysis of personal patient information is one of critical factors for well-been paradigm.
The collection and processing system of the medical data based on cloud computing, IoT in …

The application of machine learning technology and Big data to solve the problem of
personalized approach in the tasks of making medical decisions and predicting states will …

The study was conducted on the applying of machine learning methods to search for key
clusters, which made it possible to investigate individual patient characteristics, and to …

The paper is devoted to solving the actual problem of processing short datasets. The authors
developed a new numerical data augmentation procedure that is based on the usage of …

It has been established that one of the reasons for the complication of the decision-making
process is the deterioration of the quality of the input information obtained on the basis of …

This bibliographic study explores semantic search within the context of modern libraries to
identify existing research gaps and outline potential directions for future investigation. A …

The idea of Learning Health Systems is the acquisition of energy as an increasing number of
digital healthcare statistics will become an increasing number of available data. The core …