[PDF][PDF] Liver ailment prediction using random forest model
Today, liver disease, or any deterioration in one's ability to survive, is extremely common all
around the world. Previous research has indicated that liver disease is more frequent in …
around the world. Previous research has indicated that liver disease is more frequent in …
[HTML][HTML] Hybridised Network of Fuzzy Logic and a Genetic Algorithm in Solving 3-Satisfiability Hopfield Neural Networks
FL Azizan, S Sathasivam, MKM Ali, N Roslan, C Feng - Axioms, 2023 - mdpi.com
This work proposed a new hybridised network of 3-Satisfiability structures that widens the
search space and improves the effectiveness of the Hopfield network by utilising fuzzy logic …
search space and improves the effectiveness of the Hopfield network by utilising fuzzy logic …
An ensemble deep learning approach for Chronic kidney disease (CKD) prediction
A form of chronic disease-related kidney that causes a progressive decrease in kidney
function over time is Chronic kidney disease (CKD). The kidney's primary role is to filter …
function over time is Chronic kidney disease (CKD). The kidney's primary role is to filter …
Combat with Class Overlapping in Software Defect Prediction Using Neighbourhood Metric
The characteristics of data is a open problem which has been tended perceived in data
analysis in machine learning research from last decades. The researcher defined some …
analysis in machine learning research from last decades. The researcher defined some …
[PDF][PDF] Ensemble Model for Network Intrusion Detection System Based on Bagging Using J48
Technology is rising on daily basis with the advancement in web and artificial intelligence
(AI), and big data developed by machines in various industries. All of these provide a …
(AI), and big data developed by machines in various industries. All of these provide a …
Multiple Imputation by Chained Equations–K-Nearest Neighbors and Deep Neural Network Architecture for Kidney Disease Prediction
M Dhilsath Fathima, R Hariharan… - International Journal of …, 2023 - World Scientific
Chronic kidney disease (CKD) is a health concern that affects people all over the world.
Kidney dysfunction or impaired kidney functions are the causes of CKD. The machine …
Kidney dysfunction or impaired kidney functions are the causes of CKD. The machine …
Enhancing Solar Radiation Forecasting with Hybrid Ensemble Empirical Mode Decomposition and Machine Learning Techniques
A Aghmadi, O Mohammed - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
The importance of short-term solar radiation forecasting for power system use and
management cannot be overstated. However, Non-stationarity and unpredictability make …
management cannot be overstated. However, Non-stationarity and unpredictability make …
Machine Learning Models For Prediction of Comorbidities of Diabetes Using Convolutional Neural Network
S Geeviga, B Dhiyanesh - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Diabetes is a serious condition that can lead to the development of other diseases. The
basic symptoms of diabetes are increased urination, frequent weight loss, and blurred …
basic symptoms of diabetes are increased urination, frequent weight loss, and blurred …
Comparative Study of Machine Learning Techniques on Chronic Kidney Disease Prediction
S Panigrahi, DRD Adhikary… - 2023 3rd …, 2023 - ieeexplore.ieee.org
A malfunctioning kidney can cause the increase of waste in the blood, adversely affecting
various bodily processes and systems. ML techniques can assist in classifying patients as …
various bodily processes and systems. ML techniques can assist in classifying patients as …
Machine Learning Techniques for Electronic Health Records: Review of a Decade of Research.
Abstract Advancement in Machine Learning (ML) has opened new gateways for
transforming the healthcare sector. This paper explores the integration of ML techniques …
transforming the healthcare sector. This paper explores the integration of ML techniques …