Journal
Scientific and Technical Journal of Information Technologies, Mechanics and Optics
UDK004.5
Issue:2 (148)
Analysis and control of user engagement in personalized mobile assisting software for chronic disease patients
Annotation
Existing solutions for patients support in mobile apps do not allow customization of the user interface to the needs of a particular user. It reduces the involvement of patients in the process of using the system. The lack of information leads to a decrease in the quality of treatment and the emergence of potential complications. The paper proposes a variant of a new interactive mobile patient support system. This technology allows patients to enter data about their health into a mobile application and track the dynamics in time, and doctors can monitor the course of treatment remotely. Models for tracking user engagement, such as the Cox proportional hazards model and the random effects model, are considered and demonstrated. The use of A/B testing to improve user experience is analyzed. The architecture of the mobile application, web application, and their interaction was developed and implemented. Risk assessment models for patients with chronic diseases have been built. The work of interactive user support technology within a single interactive system is shown. The developed approaches can be used to build a wide range of telemedicine solutions that support interaction with both medical specialists and patients within the framework of the 4P approach in medicine.
Keywords
Постоянный URL
Articles in current issue
- Polymer composition with phenanthrenequinone for recording relief holographic gratings
- Modern approaches to the application of mathematical modeling methods in biomedical research
- Analysis of the phase images obtained during the collection of a holographic registration system based on the geometric phase effect and a polarization camera
- Color triangle color separation system for colorimetric research in microscopy
- The concept of aerial photography using a two-element active optoelectronic complex
- Variational problem of adaptive optimal control. Theoretical and applied computer analysis
- Brief review of the development of theories of robustness, roughness and bifurcations of dynamic systems
- Multiple context-free path querying by matrix multiplication
- Predicting the results of the 16-factor R. Cattell test based on the analysis of text posts of social network users
- Methodology for the control of electric power distribution system components to ensure the quality of consumed electricity
- Voice based answer evaluation system for physically disabled students using natural language processing and machine learning
- Natural language based malicious domain detection using machine learning and deep learning
- Hybrid JAYA algorithm for workflow scheduling in cloud
- Information model of the essential goods purchase duration
- Role discovery in node-attributed public transportation networks: the model description
- A survey of network intrusion detection systems based deep learning approaches
- Monitoring the health status of the population by age groups
- An intelligent shell game optimization based energy consumption analytics model for smart metering data
- Active voltage damping method with negative DC link current feedback in electric and hybrid electric transmissions
- Comparative analysis of switched reluctance motor control algorithms
- Gas dynamics of stationary supersonic gas jets with inert particles exhausting into a medium with low pressure
- Mixed forms of free oscillations of a rectangular CFCF-plate
- Modeling of heat-hydrodynamic processes in evaporators of low-temperature systems with intrachannel boiling of refrigerants
- High performance modeling of the stress-strain state of thin-walled shell structures with the use of deep learning
- Validation of state machine specifications