[HTML][HTML] The effectiveness of self-management mobile phone and tablet apps in long-term condition management: a systematic review
L Whitehead, P Seaton - Journal of medical Internet research, 2016 - jmir.org
Background Long-term conditions and their concomitant management place considerable
pressure on patients, communities, and health care systems worldwide. International clinical …
pressure on patients, communities, and health care systems worldwide. International clinical …
Role and challenges of unstructured big data in healthcare
Unprecedented growth in the volume of unstructured healthcare data has immense potential
in valuable insight extraction, improved healthcare services, quality patient care, and secure …
in valuable insight extraction, improved healthcare services, quality patient care, and secure …
[HTML][HTML] IoTFLiP: IoT-based flipped learning platform for medical education
Abstract Case-Based Learning (CBL) has become an effective pedagogy for student-
centered learning in medical education, which is founded on persistent patient cases …
centered learning in medical education, which is founded on persistent patient cases …
Multimodal hybrid reasoning methodology for personalized wellbeing services
A wellness system provides wellbeing recommendations to support experts in promoting a
healthier lifestyle and inducing individuals to adopt healthy habits. Adopting physical activity …
healthier lifestyle and inducing individuals to adopt healthy habits. Adopting physical activity …
[HTML][HTML] Activity theory as a theoretical framework for health self-quantification: a systematic review of empirical studies
M Almalki, K Gray, F Martin-Sanchez - Journal of medical Internet research, 2016 - jmir.org
Background Self-quantification (SQ) is a way of working in which, by using tracking tools,
people aim to collect, manage, and reflect on personal health data to gain a better …
people aim to collect, manage, and reflect on personal health data to gain a better …
A data-driven knowledge acquisition system: An end-to-end knowledge engineering process for generating production rules
Data-driven knowledge acquisition is one of the key research fields in data mining. Dealing
with large amounts of data has received a lot of attention in the field recently, and a number …
with large amounts of data has received a lot of attention in the field recently, and a number …
Context awareness in recognition of affective states: A systematic map** of the literature
SO Dorneles, R Francisco, DNF Barbosa… - … Journal of Human …, 2023 - Taylor & Francis
Studies indicate the growth and relevance of systems that can recognize affective states in
the most different areas. A tendency to more natural environments could be noticed that …
the most different areas. A tendency to more natural environments could be noticed that …
MDurance: A novel mobile health system to support trunk endurance assessment
O Banos, JA Moral-Munoz, I Diaz-Reyes… - Sensors, 2015 - mdpi.com
Low back pain is the most prevalent musculoskeletal condition. This disorder constitutes one
of the most common causes of disability worldwide, and as a result, it has a severe …
of the most common causes of disability worldwide, and as a result, it has a severe …
Are you talking to me?–calling laypersons in the sphere of data economy ecosystems
S Knaapi-Junnila, MM Rantanen… - Information Technology & …, 2022 - emerald.com
Purpose Data economy is pervasively present in our everyday lives. Still, ordinary
laypersons' chances to genuine communication with other stakeholders are scarce. This …
laypersons' chances to genuine communication with other stakeholders are scarce. This …
Knowledge‐based reasoning and recommendation framework for intelligent decision making
A physical activity recommendation system promotes active lifestyles for users. Real‐world
reasoning and recommendation systems face the issues of data and knowledge integration …
reasoning and recommendation systems face the issues of data and knowledge integration …