[PDF][PDF] A Comparative Analysis of Machine Learning Algorithms to Predict Liver Disease.

M Ghosh, MMS Raihan, M Raihan… - … Automation & Soft …, 2021 - cdn.techscience.cn
The liver is considered an essential organ in the human body. Liver disorders have risen
globally at an unprecedented pace due to unhealthy lifestyles and excessive alcohol …

A Machine Learning‐Based Framework for Accurate and Early Diagnosis of Liver Diseases: A Comprehensive Study on Feature Selection, Data Imbalance, and …

AU Rehman, WH Butt, TM Ali, S Javaid… - … Journal of Intelligent …, 2024 - Wiley Online Library
The liver is the largest organ of the human body with more than 500 vital functions. In recent
decades, a large number of liver patients have been reported with diseases such as …

Intelligent diagnosis system of hepatitis C virus: A probabilistic neural network based approach

PV Terlapu, SB Gedela, VK Gangu… - International Journal of …, 2022 - Wiley Online Library
In recent years, early detection of hepatitis C virus (HCV) disease has been a vital task in the
medical science field. HCV became the main health concern to the public, as it was noticed …

[PDF][PDF] Intelligent identification of liver diseases based on incremental hidden layer neurons ANN model

P Terlapu, RP Sadi, R Pondreti… - International Journal of …, 2022 - academia.edu
The liver is a crucial and big organ in the human body, impacts the digestion system. Due to
Liver diseases (LDs), so many deaths are occurred in worldwide that nearly 2 million deaths …

RG-SVM: Recursive gaussian support vector machine based feature selection algorithm for liver disease classification

P Theerthagiri… - Multimedia Tools and …, 2024 - Springer
Health is an essential concern for everyone, so it is necessary to facilitate medical services
that are easily accessible to everyone. The primary goal of this work is to predict liver …

Towards an Accurate Liver Disease Prediction Based on Two-level Ensemble Stacking Model

MH Mohamed, BH Ali, AI Taloba, AO Aseeri… - IEEE …, 2024 - ieeexplore.ieee.org
The difficulty of detecting liver disease at an early stage goes back to its limited number of
symptoms. In this study, single and ensemble machine learning (ML) algorithms are applied …

Prediction of Chronic Liver Disease Using Machine Learning Algorithms and Interpretation with SHAP Kernels

H Raj, G Niharika, A Kodipalli… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
The study below shows that we have mainly focused on predicting liver disease. The dataset
used was obtained from Kaggle which contained 11 columns and 583 rows, amongst which …

Machine Learning and Deep Learning Algorithms for Enhanced Maize Plant Disease Diagnosis and Prognosis

P Potnuru¹, PV Terlapu, P Harika… - Proceedings of the …, 2024 - books.google.com
Maize plant diseases can have a severe impact on agricultural productivity, making
detection and control challenging for farmers. Early identification of diseases is crucial for …

Machine Learning-Enabled Healthcare Decision Support System: An Advanced Disease Prediction with Patient-Doctor Collaboration

V Ragavi, PKP Reddy, VLT Eswari… - … on Computing and …, 2024 - ieeexplore.ieee.org
In this research, a revolutionary healthcare software system that gathers various patient
symptoms in order to anticipate and assess diseases is presented. To generate predictions …

Intelligent Embedded Advanced Machine Learning Approach for Smartphone Movement Identification using Stacked Auto-Encoders.

AD Kumar, PV Terlapu, D Jayaram… - … of Engineering & …, 2023 - search.ebscohost.com
Nowadays, the embedded system technology is emerging and being used in every area,
especially for monitoring applications using the cloud and IoT. The subfield of machine …