Artificial intelligence-based ensemble learning model for prediction of hepatitis C disease
Machine learning algorithms are excellent techniques to develop prediction models to
enhance response and efficiency in the health sector. It is the greatest approach to avoid the …
enhance response and efficiency in the health sector. It is the greatest approach to avoid the …
Global recession sentiment analysis utilizing VADER and ensemble learning method with word embedding
The issue of the Global Recession is hitting various countries, including Indonesia. Many
Indonesians have expressed their opinions on the issue of the global recession in 2023, one …
Indonesians have expressed their opinions on the issue of the global recession in 2023, one …
Identifying predictors of varices grading in patients with cirrhosis using ensemble learning
Objectives The present study was conducted to improve the performance of predictive
methods by introducing the most important factors which have the highest effects on the …
methods by introducing the most important factors which have the highest effects on the …
[PDF][PDF] Comparison of correlated algorithm accuracy Naive Bayes Classifier and Naive Bayes Classifier for heart failure classification
P Subarkah, WR Damayanti, RA Permana - vol, 2022 - academia.edu
Heart failure (ARF) is a health problem that has relatively high mortality and morbidity rates
in developed or developing countries, including Indonesia. In 2016, WHO stated that 17.5 …
in developed or developing countries, including Indonesia. In 2016, WHO stated that 17.5 …
The role of artificial intelligence in hepatology research and practice
The role of artificial intelligence in hepatology research a... : Current Opinion in Gastroenterology
The role of artificial intelligence in hepatology research and practice : Current Opinion in …
The role of artificial intelligence in hepatology research and practice : Current Opinion in …
Esophageal varices detection and bleeding risk assessment with artificial intelligence: a systematic review
R Ramakrishnan, K Kuang, V Rajput, M Benson… - iGIE, 2024 - Elsevier
ABSTRACT Background and Aims Esophageal Varices (EV) result from portal hypertension
in decompensated liver disease secondary to liver cirrhosis. Diagnosis and grading is done …
in decompensated liver disease secondary to liver cirrhosis. Diagnosis and grading is done …
[HTML][HTML] Derivation of “Egyptian varices prediction (EVP) index”: a novel noninvasive index for diagnosing esophageal varices in HCV Patients
SM Abd-Elsalam, MM Ezz, S Gamalel-Din… - Journal of Advanced …, 2022 - Elsevier
Abstract Introduction Esophageal Varices (EVs) is one of the major dangerous complications
of liver fibrosis. Upper Gastrointestinal (UGI) Endoscopy is necessary for its diagnosis …
of liver fibrosis. Upper Gastrointestinal (UGI) Endoscopy is necessary for its diagnosis …
[PDF][PDF] Full Title of The Article: Derivation of “Egyptian Varices Prediction (EVP) Index”: A Novel Noninvasive Index for Diagnosing Esophageal Varices in HCV.
SM Abd-ElSalam, MM Ezz, SG Din, G Esmat, W Elakel… - academia.edu
ABSTRACT Introduction: Esophageal Varices (EVs) is one of the major dangerous
complications of liver fibrosis. Upper Gastrointestinal (UGI) Endoscopy is necessary for its …
complications of liver fibrosis. Upper Gastrointestinal (UGI) Endoscopy is necessary for its …
[PDF][PDF] in Public Healt.~
CC Umoke, NE Richard-Nnabu, N Dahiya - infectedbloodinquiry.org.uk
Abstract Machine learning algorithms are excellent techniques to develop prediction models
to enhance response and efficiency in the health sector. It is the greatest approach to avoid …
to enhance response and efficiency in the health sector. It is the greatest approach to avoid …