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 …

Data clustering: application and trends

GJ Oyewole, GA Thopil - Artificial Intelligence Review, 2023 - Springer
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 …

Quantum computing for healthcare: A review

R Ur Rasool, HF Ahmad, W Rafique, A Qayyum… - Future Internet, 2023 - mdpi.com
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 …

Leveraging 6G, extended reality, and IoT big data analytics for healthcare: A review

HF Ahmad, W Rafique, RU Rasool, A Alhumam… - Computer Science …, 2023 - Elsevier
In recent years, the healthcare industry has faced new challenges around staffing, human
interaction, and the adoption of telehealth. Technological innovations can improve …

Power analysis in health policy and systems research: a guide to research conceptualisation

SM Topp, M Schaaf, V Sriram, K Scott, SL Dalglish… - BMJ Global …, 2021 - gh.bmj.com
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 …

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 …

A comprehensive analysis of healthcare big data management, analytics and scientific programming

S Nazir, S Khan, HU Khan, S Ali… - IEEE …, 2020 - ieeexplore.ieee.org
Healthcare systems are transformed digitally with the help of medical technology,
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 …

Clouds proportionate medical data stream analytics for internet of things-based healthcare systems

PM Kumar, CS Hong, F Afghah… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) assisted healthcare systems are designed for providing ubiquitous
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

P Bhardwaj, G Bhandari, Y Kumar, S Gupta - Archives of Computational …, 2022 - Springer
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 …