[HTML][HTML] A comparative analysis of boosting algorithms for chronic liver disease prediction

SM Ganie, PKD Pramanik - Healthcare Analytics, 2024 - Elsevier
Chronic liver disease (CLD) is a major health concern for millions of people all over the
globe. Early prediction and identification are critical for taking appropriate action at the …

Sentiment Prediction of Textual Data Using Hybrid ConvBidirectional‐LSTM Model

D Mahto, SC Yadav, GS Lalotra - Mobile Information Systems, 2022 - Wiley Online Library
With the emergence of social media platforms, most people have changed their way of
interacting. Perhaps, sharing day‐to‐day lifestyle updates is a trend substantially influenced …

Liver disease classification using histogram-based gradient boosting classification tree with feature selection algorithm

P Theerthagiri - Biomedical Signal Processing and Control, 2025 - Elsevier
Healthcare is the key for everyone to run daily life, and health diagnosing techniques should
be accessible easily. Indeed, the early identification of liver disease will be supportive for …

Deep learning-based object detection: an investigation

KS Babulal, AK Das - Futuristic Trends in Networks and Computing …, 2022 - Springer
Computer vision has one most important and challenging problem of object detection
because of its wide application in field of deep learning such as medical image analysis and …

[PDF][PDF] Fake News Classification Using a Fuzzy Convolutional Recurrent Neural Network.

DK Dixit, A Bhagat, D Dangi - Computers, Materials & Continua, 2022 - academia.edu
In recent years, social media platforms have gained immense popularity. As a result, there
has been a tremendous increase in content on social media platforms. This content can be …

Real-time surveillance system for detection of social distancing

KS Babulal, AK Das, P Kumar, DS Rajput… - International Journal of …, 2022 - igi-global.com
As the corona virus can mutate and due to other scientific factor associated to it, experts
believe that COVID-19 will remain with us for decades. Therefore, one has to keep social …

Categorical data clustering using harmony search algorithm for healthcare datasets

A Sharma, P Kumar, KS Babulal, AJ Obaid… - International Journal of …, 2022 - igi-global.com
Healthcare analytics provide many benefits in healthcare dashboard systems. Healthcare
datasets majorly contains categorical attributes. This paper proposed an optimized …

Enhancing Disease Diagnosis: Leveraging Machine Learning Algorithms for Healthcare Data Analysis

M Ramteke, S Raut - IETE Journal of Research, 2024 - Taylor & Francis
Healthcare data analysis has emerged as one of the most promising fields of study in recent
years. There are different types of data in the healthcare industry, such as medical test …

PCA‐Based Incremental Extreme Learning Machine (PCA‐IELM) for COVID‐19 Patient Diagnosis Using Chest X‐Ray Images

V Kumar, S Biswas, DS Rajput… - Computational …, 2022 - Wiley Online Library
Novel coronavirus 2019 has created a pandemic and was first reported in December 2019. It
has had very adverse consequences on people's daily life, healthcare, and the world's …

[HTML][HTML] Multi-objective variation differential evolutionary algorithm based on fuzzy adaptive sorting

X Mi - Energy Reports, 2022 - Elsevier
In order to improve the convergence and diversity of multi-objective differential evolutionary
algorithm in solving problems, a fuzzy adaptive sorting variation multi-objective differential …