Machine learning for prediction of viral hepatitis: A systematic review and meta-analysis
Background Lack of accurate and timely diagnosis of hepatitis poses obstacles to effective
treatment, disease progression prevention, complication reduction, and life-saving …
treatment, disease progression prevention, complication reduction, and life-saving …
A Machine Learning‐Based Framework for Accurate and Early Diagnosis of Liver Diseases: A Comprehensive Study on Feature Selection, Data Imbalance, and …
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 …
decades, a large number of liver patients have been reported with diseases such as …
Pattern recognition using the multi-layer perceptron (MLP) for medical disease: A survey
AA Safar, DM Salih, AM Murshid - International Journal of …, 2023 - ijnaa.semnan.ac.ir
In recent years, Machine Learning (ML) algorithms, especially Artificial Neural Networks
(ANNs), have achieved remarkable success in various fields such as Pattern Recognition …
(ANNs), have achieved remarkable success in various fields such as Pattern Recognition …
Deep Ensemble Stacked Technique for the Classification of Liver Disease Using Artificial Neural Networks at the Base Level and Random Forest at the Meta Level
RA Bhusnurmath, S Betageri - 2023 - researchsquare.com
Liver is the most noticeable and metabolically active organs in the human body. Damage to
this organ might result in liver failure and a loss of life. The early detection of liver infection is …
this organ might result in liver failure and a loss of life. The early detection of liver infection is …
A BrainNet (BrN) based new approach to classify brain stroke from CT scan images
Worldwide, brain stroke is known as the 2nd leading cause of death, and based on Indian
history, three people have suffered every minute. There are mainly two different types of …
history, three people have suffered every minute. There are mainly two different types of …
[PDF][PDF] Comprehensive Analysis of CNN and YOLOv5 Object Detection Model to Classify Phytomedicine Tree's Leaf Disease
Phytomedicine is not only known to the poor people of East Bengal and West Bengal as a
medicine but also as a beacon of hope for survival in a diseased life. In this approach …
medicine but also as a beacon of hope for survival in a diseased life. In this approach …
Performance Comparison of Machine Learning and Deep Learning Algorithms for Liver Disease Detection
RA Bhusnurmath, S Betageri - International Conference on Emerging …, 2023 - Springer
The main cause of death worldwide, which has a significant negative influence on the vast
majority of people, is liver disease. Various factors that affect the liver are the cause of this …
majority of people, is liver disease. Various factors that affect the liver are the cause of this …
Deep Neural Network-Based Approach to Identify the Paddy Leaf Disease using ResNet50-V2
South Asian countries especially Bangladesh, India, and Srilanka are very involved in paddy
cultivation. In Bangladesh and India, one of the key producing crops is paddy. Worldwide …
cultivation. In Bangladesh and India, one of the key producing crops is paddy. Worldwide …