Exploring the Potential of Dew Computing for Smart Healthcare: A Comprehensive Review

A Manocha, ZS Masoodi - 2023 10th International Conference …, 2023 - ieeexplore.ieee.org
Extensive research has been dedicated to the exploration of Internet of Medical Things
(IoMT) to improve healthcare services. The integration of Internet of Things (IoT), medical …

SVMCTI: support vector machine based cricket talent ıdentification model

N Reyaz, G Ahamad, NJ Khan, M Naseem… - International Journal of …, 2024 - Springer
Sports talent recognition is one of the intensively discussed topics in this day and age.
Cricket is a sport of keen interest and has fascinated researchers all over the world to …

The impact of Markov model to predict the status of children with congenital heart disease at post-operative ICU

SN Sharwardy, H Sarwar, MZ Rahman - International Journal of …, 2023 - Springer
In intensive care medicine, making fast judgments based on a large amount of information is
normal. ICU doctors frequently base their judgments on their own experiences while making …

Fuzzy weighted Bayesian belief network: a medical knowledge-driven Bayesian model using fuzzy weighted rules

S Kharya, S Soni, T Swarnkar - International Journal of Information …, 2023 - Springer
In this current work, Weighted Bayesian Association rules using the Fuzzy set theory are
proposed with the new concept of Fuzzy Weighted Bayesian Association Rules to design …

Application of network embedding and transcriptome data in supervised drug repositioning

Ö Kart, G Kökçü, İN Çoçan, B Tonç, A Cüvitoğlu… - International Journal of …, 2023 - Springer
Computational drug repositioning gains more attention due to offering alternative treatments
with lower development costs. This study proposes a machine learning-based drug …

Accuracy Prediction for Music Therapy Data using Kappa Model

YP Pingle, LK Ragha - 2024 11th International Conference on …, 2024 - ieeexplore.ieee.org
This research explores the therapeutic potential of music, specifically Indian classical ragas,
for individuals suffering from diabetes, hypertension, and thyroid disorders. The proposed …

Machine Learning Approaches for Improving the Survival Prediction Rate in Heart Failure Patients

S Singh, M Rout, R Lana, S Das… - 2023 OITS …, 2023 - ieeexplore.ieee.org
This research work aims to highlight the significance of dimensionality reduction and
minority class oversampling techniques for improving the performance metrics result of a …

Computer Vision Based Car Overtaking Advisory

N Deb, NB Muppalaneni… - 2023 IEEE World …, 2023 - ieeexplore.ieee.org
A vehicle overtake advisory system is a technology that instructs drivers on how to pass
another vehicle safely while driving. Overtaking involves inherent risks, as it calls for the …

Diabetes Prediction in Teenagers using Machine Learning Algorithms

J Vrindavanam, R Haarika, MG Sindhu… - … on Computing for …, 2023 - ieeexplore.ieee.org
Diabetes Mellitus (DM) is a hazardous condition that can lead to worldwide health problems
owing to an increase in blood glucose levels, age, lack of movement, high blood pressure …

Explaining Machine Learning Predictions: A Case Study

P Dutta, NB Muppalaneni - 2022 Trends in Electrical …, 2022 - ieeexplore.ieee.org
The growing trends and demands for Artificial Intelligence in various domains due to their
excellent performance and generalization ability are known to all. These decisions affect the …