[HTML][HTML] Artificial intelligence in disease diagnostics: A critical review and classification on the current state of research guiding future direction
The diagnosis of diseases is decisive for planning proper treatment and ensuring the well-
being of patients. Human error hinders accurate diagnostics, as interpreting medical …
being of patients. Human error hinders accurate diagnostics, as interpreting medical …
Comparison of machine learning classification methods in hepatitis C virus
The hepatitis C virus (HCV) is considered a problem to the health of societies are the main.
There are around 120-130 million or 3% of the world's total population infected with HCV …
There are around 120-130 million or 3% of the world's total population infected with HCV …
Intelligent liver disease prediction (ILDP) system using machine learning models
Liver disease (LD) is a common disease in the world. The functionality of the liver is very
crucial in the human body where it impacts much physical functionality like the manufacture …
crucial in the human body where it impacts much physical functionality like the manufacture …
[PDF][PDF] Practical Machine Learning for Prognosis: A Case for AUC and Hepatitis Guideline Driven Inputs
L Li, D Baghernejad, RJ Gambrel, DR Mingle - switchpointventures.com
In this paper machine learning was used to predict hepatitiscaused mortality in a way that is
analytically robust and clinically relevant. Specifically, predictor variables in the dataset were …
analytically robust and clinically relevant. Specifically, predictor variables in the dataset were …