Potential value and impact of data mining and machine learning in clinical diagnostics
M Saberi-Karimian, Z Khorasanchi… - Critical reviews in …, 2021 - Taylor & Francis
Data mining involves the use of mathematical sciences, statistics, artificial intelligence, and
machine learning to determine the relationships between variables from a large sample of …
machine learning to determine the relationships between variables from a large sample of …
An empirical evaluation of machine learning techniques for chronic kidney disease prophecy
Chronic Kidney Disease (CKD) implies that the human kidneys are harmed and unable to
blood filter in the manner which they should. The disease is designated “chronic” in light of …
blood filter in the manner which they should. The disease is designated “chronic” in light of …
Machine learning prediction models for diagnosing hepatocellular carcinoma with HCV-related chronic liver disease
S Hashem, M ElHefnawi, S Habashy… - Computer methods and …, 2020 - Elsevier
Abstract Background and Objective Considered as one of the most recurrent types of liver
malignancy, Hepatocellular Carcinoma (HCC) needs to be assessed in a non-invasive way …
malignancy, Hepatocellular Carcinoma (HCC) needs to be assessed in a non-invasive way …
Performance assessment of classification algorithms on early detection of liver syndrome
In the recent era, a liver syndrome that causes any damage in life capacity is exceptionally
normal everywhere throughout the world. It has been found that liver disease is exposed …
normal everywhere throughout the world. It has been found that liver disease is exposed …
Predicting overall survival of patients with hepatocellular carcinoma using a three‐category method based on DNA methylation and machine learning
RZ Dong, X Yang, XY Zhang, PT Gao… - Journal of cellular …, 2019 - Wiley Online Library
Hepatocellular carcinoma (HCC) is closely associated with abnormal DNA methylation. In
this study, we analyzed 450K methylation chip data from 377 HCC samples and 50 adjacent …
this study, we analyzed 450K methylation chip data from 377 HCC samples and 50 adjacent …
Improved hepatocellular carcinoma fatality prognosis using ensemble learning approach
Hepatocellular Carcinoma (HCC) is the most common type of liver cancer which accounts
for around 75% of all liver cancer cases. From statistical data, it has been found that fatality …
for around 75% of all liver cancer cases. From statistical data, it has been found that fatality …
Determinants of infection outcome in HCV-genotype 4
RA Zayed, D Omran, AA Zayed, LO Elmessery - Viral Immunology, 2017 - liebertpub.com
Hepatitis C virus (HCV) infection represents a worldwide health problem and has been for
long an attractive point of research due to diversity among different genotypes regarding …
long an attractive point of research due to diversity among different genotypes regarding …
[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 …
The most important variables associated with death due to COVID‐19 disease, based on three data mining models Decision Tree, AdaBoost, and Support Vector …
BS Gharehhasani, M Rezaei, A Naghipour… - Health Science …, 2024 - Wiley Online Library
Introduction Death due to covid‐19 is one of the biggest health challenges in the world.
There are many models that can predict death due to COVID‐19. This study aimed to fit and …
There are many models that can predict death due to COVID‐19. This study aimed to fit and …
[HTML][HTML] Circulating hypermethylated RASSF1A as a molecular biomarker for diagnosis of hepatocellular carcinoma
LA Mansour, M El Raziky, AA Mohamed… - Asian Pacific journal …, 2017 - ncbi.nlm.nih.gov
Background: Detection of circulating DNA can be applied for the diagnosis of many
malignant neoplasms, including the hepatocellular carcinoma (HCC). The molecular …
malignant neoplasms, including the hepatocellular carcinoma (HCC). The molecular …