Data-driven methods for dengue prediction and surveillance using real-world and Big Data: A systematic review
E Sylvestre, C Joachim, E Cecilia-Joseph… - PLoS neglected …, 2022 - journals.plos.org
Background Traditionally, dengue surveillance is based on case reporting to a central health
agency. However, the delay between a case and its notification can limit the system …
agency. However, the delay between a case and its notification can limit the system …
A new architecture of Internet of Things and big data ecosystem for secured smart healthcare monitoring and alerting system
Wearable medical devices with sensor continuously generate enormous data which is often
called as big data mixed with structured and unstructured data. Due to the complexity of the …
called as big data mixed with structured and unstructured data. Due to the complexity of the …
A novel three-tier Internet of Things architecture with machine learning algorithm for early detection of heart diseases
PM Kumar, UD Gandhi - Computers & Electrical Engineering, 2018 - Elsevier
Among the applications enabled by the Internet of Things (IoT), continuous health
monitoring system is a particularly important one. Wearable sensor devices used in IoT …
monitoring system is a particularly important one. Wearable sensor devices used in IoT …
An ontology-driven personalized food recommendation in IoT-based healthcare system
V Subramaniyaswamy, G Manogaran… - The Journal of …, 2019 - Springer
The recent developments of internet technology have created premium space for
recommender system (RS) to help users in their daily life. An effective personalized …
recommender system (RS) to help users in their daily life. An effective personalized …
Machine learning based big data processing framework for cancer diagnosis using hidden Markov model and GM clustering
G Manogaran, V Vijayakumar, R Varatharajan… - Wireless personal …, 2018 - Springer
The change in the DNA is a form of genetic variation in the human genome. In addition, the
DNA copy number change is also linked with the progression of many emerging diseases …
DNA copy number change is also linked with the progression of many emerging diseases …
RETRACTED ARTICLE: A big data classification approach using LDA with an enhanced SVM method for ECG signals in cloud computing
R Varatharajan, G Manogaran, MK Priyan - Multimedia Tools and …, 2018 - Springer
Electrocardiographic (ECG) signals often consist of unwanted noises and speckles. In order
to remove the noises, various image processing filters are used in various studies. In this …
to remove the noises, various image processing filters are used in various studies. In this …
AI-based epidemic and pandemic early warning systems: A systematic sco** review
C El Morr, D Ozdemir, Y Asdaah… - Health Informatics …, 2024 - journals.sagepub.com
Background: Timely detection of disease outbreaks is critical in public health. Artificial
Intelligence (AI) can identify patterns in data that signal the onset of epidemics and …
Intelligence (AI) can identify patterns in data that signal the onset of epidemics and …
A novel Gini index decision tree data mining method with neural network classifiers for prediction of heart disease
The healthcare domain is basically “data rich”, yet tragically not every one of the information
are dug which is required for finding concealed examples and successful basic leadership …
are dug which is required for finding concealed examples and successful basic leadership …
Score level based latent fingerprint enhancement and matching using SIFT feature
A Manickam, E Devarasan, G Manogaran… - Multimedia Tools and …, 2019 - Springer
Latent fingerprint identification is such a difficult task to law enforcement agencies and
border security in identifying suspects. It is a too complicate due to poor quality images with …
border security in identifying suspects. It is a too complicate due to poor quality images with …
Enhanced DTLS with CoAP-based authentication scheme for the internet of things in healthcare application
PM Kumar, UD Gandhi - The Journal of Supercomputing, 2020 - Springer
As health data are very sensitive, there is a need to prevent and control the health data with
end-to-end security solutions. In general, a number of authentication and authorization …
end-to-end security solutions. In general, a number of authentication and authorization …