A systematic review for enabling of develop a blockchain technology in healthcare application: taxonomy, substantially analysis, motivations, challenges …
Blockchain in healthcare applications requires robust security and privacy mechanism for
high-level authentication, interoperability and medical records sharing to comply with the …
high-level authentication, interoperability and medical records sharing to comply with the …
Smart home-based IoT for real-time and secure remote health monitoring of triage and priority system using body sensors: Multi-driven systematic review
Abstract The Internet of Things (IoT) has been identified in various applications across
different domains, such as in the healthcare sector. IoT has also been recognised for its …
different domains, such as in the healthcare sector. IoT has also been recognised for its …
A deep learning model (ALNet) for the diagnosis of acute leukaemia lineage using peripheral blood cell images
L Boldú, A Merino, A Acevedo, A Molina… - Computer Methods and …, 2021 - Elsevier
Background and objectives Morphological differentiation among blasts circulating in blood
in acute leukaemia is challenging. Artificial intelligence decision support systems hold …
in acute leukaemia is challenging. Artificial intelligence decision support systems hold …
Electronic medical record systems: Decision support examination framework for individual, security and privacy concerns using multi-perspective analysis
Electronic medical record (EMR) is currently a popular topic in e-health. EMR includes the
health-related information of patients and forms the main factor of e-health applications …
health-related information of patients and forms the main factor of e-health applications …
Real-time remote-health monitoring systems: a review on patients prioritisation for multiple-chronic diseases, taxonomy analysis, concerns and solution procedure
Remotely monitoring a patient's condition is a serious issue and must be addressed.
Remote health monitoring systems (RHMS) in telemedicine refers to resources, strategies …
Remote health monitoring systems (RHMS) in telemedicine refers to resources, strategies …
Real-time remote health-monitoring Systems in a Medical Centre: A review of the provision of healthcare services-based body sensor information, open challenges …
Promoting patient care is a priority for all healthcare providers with the overall purpose of
realising a high degree of patient satisfaction. A medical centre server is a remote computer …
realising a high degree of patient satisfaction. A medical centre server is a remote computer …
Machine learning in haematological malignancies
Machine learning is a branch of computer science and statistics that generates predictive or
descriptive models by learning from training data rather than by being rigidly programmed. It …
descriptive models by learning from training data rather than by being rigidly programmed. It …
Systematic review of an automated multiclass detection and classification system for acute Leukaemia in terms of evaluation and benchmarking, open challenges …
This study aims to systematically review prior research on the evaluation and benchmarking
of automated acute leukaemia classification tasks. The review depends on three reliable …
of automated acute leukaemia classification tasks. The review depends on three reliable …
Machine learning applications in the diagnosis of leukemia: Current trends and future directions
Abstract Machine learning (ML) offers opportunities to advance pathological diagnosis,
especially with increasing trends in digitalizing microscopic images. Diagnosing leukemia is …
especially with increasing trends in digitalizing microscopic images. Diagnosing leukemia is …
Automated detection of acute lymphoblastic leukemia from microscopic images based on human visual perception
A Bodzas, P Kodytek, J Zidek - Frontiers in Bioengineering and …, 2020 - frontiersin.org
Microscopic image analysis plays a significant role in initial leukemia screening and its
efficient diagnostics. Since the present conventional methodologies partly rely on manual …
efficient diagnostics. Since the present conventional methodologies partly rely on manual …