Dengue epidemics prediction: A survey of the state-of-the-art based on data science processes

P Siriyasatien, S Chadsuthi, K Jampachaisri… - IEEE …, 2018 - ieeexplore.ieee.org
Dengue infection is a mosquitoborne disease caused by dengue viruses, which are carried
by several species of mosquito of the genus Aedes, principally Ae. aegypti. Dengue …

[HTML][HTML] Healthcare predictive analytics: An overview with a focus on Saudi Arabia

H Alharthi - Journal of infection and public health, 2018 - Elsevier
Despite a newfound wealth of data and information, the healthcare sector is lacking in
actionable knowledge. This is largely because healthcare data, though plentiful, tends to be …

[HTML][HTML] A secure remote health monitoring model for early disease diagnosis in cloud-based IoT environment

S Akhbarifar, HHS Javadi, AM Rahmani… - Personal and Ubiquitous …, 2023 - Springer
Abstract Internet of Things (IoT) and smart medical devices have improved the healthcare
systems by enabling remote monitoring and screening of the patients' health conditions …

[HTML][HTML] Cloud computing applications for biomedical science: A perspective

V Navale, PE Bourne - PLoS computational biology, 2018 - journals.plos.org
Biomedical research has become a digital data–intensive endeavor, relying on secure and
scalable computing, storage, and network infrastructure, which has traditionally been …

An effective model for store and retrieve big health data in cloud computing

Z Goli-Malekabadi, M Sargolzaei-Javan… - Computer methods and …, 2016 - Elsevier
Background and objective The volume of healthcare data including different and variable
text types, sounds, and images is increasing day to day. Therefore, the storage and …

Applications of association rule mining in health informatics: a survey

W Altaf, M Shahbaz, A Guergachi - Artificial Intelligence Review, 2017 - Springer
Association rule mining is an effective data mining technique which has been used widely in
health informatics research right from its introduction. Since health informatics has received …

A medical monitoring scheme and health‐medical service composition model in cloud‐based IoT platform

P Asghari, AM Rahmani… - Transactions on …, 2019 - Wiley Online Library
Advanced technologies such as internet of things (IoT) and clouds have significantly
influenced on modern medical monitoring systems. Analytical statistics derived from massive …

Data mining and machine learning algorithms using IL28B genotype and biochemical markers best predicted advanced liver fibrosis in chronic hepatitis C

HI Shousha, AH Awad, DA Omran… - Japanese journal of …, 2018 - jstage.jst.go.jp
IL28B single nucleotide polymorphism (rs12979860) is an etiology-independent predictor of
hepatitis C virus (HCV)-related hepatic fibrosis. Data mining is a method of predictive …

A novel storage architecture for facilitating efficient analytics of health informatics big data in cloud

MK Pandey, K Subbiah - 2016 IEEE International Conference …, 2016 - ieeexplore.ieee.org
Analytics of health big data are very crucial for providing cost effective quality health care.
Over recent years, the analytics on healthcare big data has evolved into a challenging task …

Methods and systems using a composition of autonomous self-learning software components for performing complex real time data-processing tasks

JAG Sedano, EA Castaniza - US Patent 10,510,016, 2019 - Google Patents
(57) ABSTRACT A composition of autonomous self-learning skill software components
interact with one another to solve a real time complex task. Each software component …