Machine Learning, Deep Learning and IoT in Smart Healthcare for Retinal Diseases Management

S Ranjan, DK Choubey - Machine Learning and IoT Applications …, 2024 - books.google.com
K-nearest neighbours, and others showcase varying degrees of effectiveness based on their
ROC AUC scores. The research provides a detailed analysis of the proposed methodology's …

Analysis of liver disorder using classification techniques: A survey

S Pahari, DK Choubey - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
Classification is an effective and widespread techniques used in many medical fields like
liver diagnosis of patients. The prime goal of this research article is to the summarize many …

Soft Computing and Data Mining Techniques for Dengue Detection: A Review

DK Choubey, R Newton, MK Ojha, S Kumar - International Conference On …, 2023 - Springer
Dengue fever is a viral illness that is transmitted to humans by the bite of an infected
mosquito. It is most common in tropical and subtropical countries, where it affects a …

Detection of Malaria by Using a CNN Model

DK Choubey, S Raj, A Aman, R Deoli… - … Techniques for Data …, 2023 - Springer
Malaria is a dangerous and potentially fatal disease caused by Plasmodium parasites that
are transferred to humans through the bites of infected Anopheles mosquitos. The most …

Prediction of Alzheimer Disease Using Pearson Recursive Graph Convolutional Neural Network

MS Roobini, M Lakshmi - 2021 - researchsquare.com
Alzheimer diseases are very hard to identify at beginning stage and also medication is
available. So, the only way to protect those people is to predict the Alzheimer disease before …

Kurtosis maximisation for blind speech separation in Hindi speech processing system using swarm intelligence and ICA

M Patil, JS Chitode - International Journal of Biomedical …, 2020 - inderscienceonline.com
Blind source separation (BSS) method divides mixed signals blindly without any data on the
mixing scheme. This is a main issue in an actual period world whether have to identify a …

A Comprehensive Study of Retinal Vessel Classification Methods in Fundus Images for Detection of Hypertensive Retinopathy and Cardiovascular Diseases

JA Gnanaselvi, GM Kalavathy - … of the International Conference on ISMAC …, 2019 - Springer
Quantitative studies for classification of retinal vessels using new computer-assisted retinal
fundus imaging system have allowed the researchers to understand the influence of …

Prediction of risk factors for pre-diabetes using a frequent pattern-based outlier detection

AM Rajeswari, C Deisy - International Journal of Biomedical …, 2020 - inderscienceonline.com
Pre-diabetes is the forerunner stage of diabetes. Pre-diabetes develops type-2 diabetes
slowly without any predominant symptoms. Hence, pre-diabetes has to be predicted apriori …

Evolutionary computation technique combined with ensemble model for classification of diabetes.

KS Kumar, GV Suryakanth… - African Journal of …, 2021 - search.ebscohost.com
Abstract Machine learning (ML) was a rapidly advancing technology in the modern world. It
had a wide variety of applications such as medical diagnosis, stock market trading, email …

Prediction and Classification Analysis of Type-2 Diabetes Using Machine Learning Approaches

R Aggarwal, Z Polkowski - Smart Computing and Self-Adaptive …, 2021 - taylorfrancis.com
Over the world, millions of people are suffering from diabetes. Some of them are in a very
critical stage or at a very high risk. Diabetes is a severe problem for early death in women as …