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 …

A new architecture of Internet of Things and big data ecosystem for secured smart healthcare monitoring and alerting system

G Manogaran, R Varatharajan, D Lopez… - Future Generation …, 2018 - Elsevier
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 …

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 …

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 …

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 …

RETRACTED ARTICLE: A big data classification approach using LDA with an enhanced SVM method for ECG signals in cloud computing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 …

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 …

A novel Gini index decision tree data mining method with neural network classifiers for prediction of heart disease

K Mathan, PM Kumar, P Panchatcharam… - Design automation for …, 2018 - Springer
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 …

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 …

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 …