Model-based adaptive user interface based on context and user experience evaluation
Personalized services have greater impact on user experience to effect the level of user
satisfaction. Many approaches provide personalized services in the form of an adaptive user …
satisfaction. Many approaches provide personalized services in the form of an adaptive user …
AnoFed: Adaptive anomaly detection for digital health using transformer-based federated learning and support vector data description
In digital healthcare applications, anomaly detection is an important task to be taken into
account. For instance, in ECG (Electrocardiogram) analysis, the aim is often to detect …
account. For instance, in ECG (Electrocardiogram) analysis, the aim is often to detect …
Healthcare and anomaly detection: using machine learning to predict anomalies in heart rate data
E Šabić, D Keeley, B Henderson, S Nannemann - Ai & Society, 2021 - Springer
The application of machine learning algorithms to healthcare data can enhance patient care
while also reducing healthcare worker cognitive load. These algorithms can be used to …
while also reducing healthcare worker cognitive load. These algorithms can be used to …
A multimodal deep log-based user experience (UX) platform for UX evaluation
The user experience (UX) is an emerging field in user research and design, and the
development of UX evaluation methods presents a challenge for both researchers and …
development of UX evaluation methods presents a challenge for both researchers and …
Assessing factors critical to smart technology applications to mobile health care− the fgm-fahp approach
T Chen - Health policy and technology, 2020 - Elsevier
Smart technologies present numerous opportunities for enhancing mobile health care.
However, some concerns regarding the viability of smart technology applications must be …
However, some concerns regarding the viability of smart technology applications must be …
Evaluating the sustainability of a smart technology application to mobile health care: the FGM–ACO–FWA approach
TCT Chen - Complex & Intelligent Systems, 2020 - Springer
Smart technologies present numerous opportunities for enhancing mobile health care.
However, existing applications of smart technologies to mobile health care face several …
However, existing applications of smart technologies to mobile health care face several …
IoT in combating COVID-19 pandemics: lessons for develo** countries
Abstract Ever since coronavirus (COVID-19) came to limelight, there seem to be an
exponential spread to all the continents on earth. The world is slowly recovering and still …
exponential spread to all the continents on earth. The world is slowly recovering and still …
[ΒΙΒΛΙΟ][B] Lifelogging for organizational stress measurement: Theory and Applications
In today's society, stress is one of the most prevalent phenomena affecting people both in
private life and working environments. Despite the fact that academic research has revealed …
private life and working environments. Despite the fact that academic research has revealed …
Secure and privacy-preserving federated learning with explainable artificial intelligence for smart healthcare system
A Raza - 2023 - theses.hal.science
The growing population around the globe has a significant impact on various sectors
including the labor force, healthcare, and the global economy. The healthcare sector is …
including the labor force, healthcare, and the global economy. The healthcare sector is …
Personalization of wellness recommendations using contextual interpretation
A huge array of personalized healthcare and wellness systems are introduced into the
portfolio of digital health and quantified-self movement in recent years. These systems share …
portfolio of digital health and quantified-self movement in recent years. These systems share …