A survey on COVID-19 impact in the healthcare domain: worldwide market implementation, applications, security and privacy issues, challenges and future prospects
Extensive research has been conducted on healthcare technology and service
advancements during the last decade. The Internet of Medical Things (IoMT) has …
advancements during the last decade. The Internet of Medical Things (IoMT) has …
A review on electronic health record text-mining for biomedical name entity recognition in healthcare domain
Biomedical-named entity recognition (bNER) is critical in biomedical informatics. It identifies
biomedical entities with special meanings, such as people, places, and organizations, as …
biomedical entities with special meanings, such as people, places, and organizations, as …
Skin-Net: a novel deep residual network for skin lesions classification using multilevel feature extraction and cross-channel correlation with detection of outlier
Human Skin cancer is commonly detected visually through clinical screening followed by a
dermoscopic examination. However, automated skin lesion classification remains …
dermoscopic examination. However, automated skin lesion classification remains …
An automated conversation system using natural language processing (nlp) chatbot in python
The purpose of this project is to build a ChatBot that utilises NLP (Natural Language
Processing) and assists customers. A ChatBot is an automated conversation system that …
Processing) and assists customers. A ChatBot is an automated conversation system that …
A sequential machine learning-cum-attention mechanism for effective segmentation of brain tumor
Magnetic resonance imaging is the most generally utilized imaging methodology that
permits radiologists to look inside the cerebrum using radio waves and magnets for tumor …
permits radiologists to look inside the cerebrum using radio waves and magnets for tumor …
DeepMist: Toward deep learning assisted mist computing framework for managing healthcare big data
S Bebortta, SS Tripathy, S Basheer… - IEEE Access, 2023 - ieeexplore.ieee.org
The prevalence of heart disease has remained a major cause of mortalities across the world
and has been challenging for healthcare providers to detect early symptoms of cardiac …
and has been challenging for healthcare providers to detect early symptoms of cardiac …
An Improvised Virtual Queue Algorithm to Manipulate the Congestion in High-Speed Network
In the recent technological era, advancement in the application allows faster transmission of
data massively over the network, and it leads to the emergence of challenges related to high …
data massively over the network, and it leads to the emergence of challenges related to high …
An attention-based deep learning for acute lymphoblastic leukemia classification
The bone marrow overproduces immature cells in the malignancy known as Acute
Lymphoblastic Leukemia (ALL). In the United States, about 6500 occurrences of ALL are …
Lymphoblastic Leukemia (ALL). In the United States, about 6500 occurrences of ALL are …
Joint semantic-instance segmentation method for intelligent transportation system
Getting the point cloud data from sensors and correctly understanding the scene is the core
of the intelligent transportation system. Point cloud segmentation can help intelligent …
of the intelligent transportation system. Point cloud segmentation can help intelligent …
Real time health care big data analytics model for improved QoS in cardiac disease prediction with IoT devices
Purpose the problem of big data analytics and health care support systems are analyzed.
There exist several techniques in supporting such analytics and robust support systems; still …
There exist several techniques in supporting such analytics and robust support systems; still …