Application of cognitive computing in healthcare, cybersecurity, big data and IoT: A literature review

AG Sreedevi, TN Harshitha, V Sugumaran… - Information Processing & …, 2022 - Elsevier
Human Intelligence is considered superior compared to Artificial Intelligence (AI) because of
its ability to adapt faster to changes. Due to increasing data deluge, it is cumbersome for …

Application of IoT in healthcare: keys to implementation of the sustainable development goals

A Verdejo Espinosa, JL Lopez, F Mata Mata… - Sensors, 2021 - mdpi.com
We live in complex times in the health, social, political, and energy spheres, and we must be
aware of and implement new trends in intelligent social health systems powered by the …

Machine learning based diabetes classification and prediction for healthcare applications

UM Butt, S Letchmunan, M Ali… - Journal of healthcare …, 2021 - Wiley Online Library
The remarkable advancements in biotechnology and public healthcare infrastructures have
led to a momentous production of critical and sensitive healthcare data. By applying …

A novel method for diabetes classification and prediction with Pycaret

P Whig, K Gupta, N Jiwani, H Jupalle, S Kouser… - Microsystem …, 2023 - Springer
The incredible advances in biotechnology and public healthcare infrastructures have
resulted in a massive output of vital and sensitive healthcare data. Many fascinating trends …

Health monitoring system for elderly patients using intelligent task mapping mechanism in closed loop healthcare environment

Imran, N Iqbal, S Ahmad, DH Kim - Symmetry, 2021 - mdpi.com
The ageing population's problems directly impact countries' socio-economic structure, as
more resources are required to monitor the aged population's health. The growth in human …

Unlocking insights in iot-based patient monitoring: Methods for encompassing large-data challenges

M Waleed, T Kamal, TW Um, A Hafeez, B Habib… - Sensors, 2023 - mdpi.com
The remote monitoring of patients using the internet of things (IoT) is essential for ensuring
continuous observation, improving healthcare, and decreasing the associated costs (ie …

[PDF][PDF] Smart solution for reducing COVID-19 risk using internet of things

A Rajeshkumar, S Mathi - Indonesian Journal of Electrical …, 2022 - academia.edu
The article exposes a smart device designed for mitigating the coronavirus disease (COVID-
19) risk using the internet of things. A portable smart alerting device is designed for ensuring …

Internet of Things in Smart and Intelligent Healthcare Systems

AK Nair, J Sahoo - Intelligent Internet of Things for Smart …, 2023 - taylorfrancis.com
Independent and convenient healthy living is the prime goal of everyone. Unfortunately,
there are limitations to this idea due to various factors such as age, illness, and pandemics …

Prediction of Brain Stroke using Machine Learning with Relief Algorithm

K Jayashree, NK Prakash - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Stroke is one of the leading factors of fatality in people today. Numerous conditions,
including stress, high blood pressure, cholesterol, obesity, type 2 diabetes, and dyslipidemia …

Cognitive Analytics in Continual Learning: A New Frontier in Machine Learning Research

T Renuga Devi, K Muthukumar… - Cognitive Analytics …, 2024 - Wiley Online Library
The cognitive system that started with automation has now set its benchmark to reach
human‐centric intelligence. The slow adoption of cognitive systems is most likely due to its …