The recent progress and applications of digital technologies in healthcare: a review
M Senbekov, T Saliev, Z Bukeyeva… - … of telemedicine and …, 2020 - Wiley Online Library
Background. The implementation of medical digital technologies can provide better
accessibility and flexibility of healthcare for the public. It encompasses the availability of …
accessibility and flexibility of healthcare for the public. It encompasses the availability of …
Data clustering: application and trends
Clustering has primarily been used as an analytical technique to group unlabeled data for
extracting meaningful information. The fact that no clustering algorithm can solve all …
extracting meaningful information. The fact that no clustering algorithm can solve all …
Quantum computing for healthcare: A review
In recent years, the interdisciplinary field of quantum computing has rapidly developed and
garnered substantial interest from both academia and industry due to its ability to process …
garnered substantial interest from both academia and industry due to its ability to process …
Leveraging 6G, extended reality, and IoT big data analytics for healthcare: A review
In recent years, the healthcare industry has faced new challenges around staffing, human
interaction, and the adoption of telehealth. Technological innovations can improve …
interaction, and the adoption of telehealth. Technological innovations can improve …
Power analysis in health policy and systems research: a guide to research conceptualisation
Power is a growing area of study for researchers and practitioners working in the field of
health policy and systems research (HPSR). Theoretical development and empirical …
health policy and systems research (HPSR). Theoretical development and empirical …
Healthcare big data processing mechanisms: The role of cloud computing
L Rajabion, AA Shaltooki, M Taghikhah… - International Journal of …, 2019 - Elsevier
Recently, patient safety and healthcare have gained high attention in professional and
health policy-makers. This rapid growth causes generating a high amount of data, which is …
health policy-makers. This rapid growth causes generating a high amount of data, which is …
A comprehensive analysis of healthcare big data management, analytics and scientific programming
Healthcare systems are transformed digitally with the help of medical technology,
information systems, electronic medical records, wearable and smart devices, and handheld …
information systems, electronic medical records, wearable and smart devices, and handheld …
A cluster-based stratified hybrid decision support model under uncertainty: sustainable healthcare landfill location selection
EB Tirkolaee, AE Torkayesh - Applied Intelligence, 2022 - Springer
Nowadays, healthcare waste management has become one of the significant
environmental, health, and social problems. Due to population and urbanization growth and …
environmental, health, and social problems. Due to population and urbanization growth and …
Clouds proportionate medical data stream analytics for internet of things-based healthcare systems
Internet of Things (IoT) assisted healthcare systems are designed for providing ubiquitous
access and recommendations for personal and distributed electronic health services. The …
access and recommendations for personal and distributed electronic health services. The …
An investigational approach for the prediction of gastric cancer using artificial intelligence techniques: a systematic review
Gastric cancer is characterized by the growth of cancerous cells within the lining of the
stomach. Traditionally, this condition has been challenging to diagnose. However, today …
stomach. Traditionally, this condition has been challenging to diagnose. However, today …