Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda
Artificial intelligence can assist providers in a variety of patient care and intelligent health
systems. Artificial intelligence techniques ranging from machine learning to deep learning …
systems. Artificial intelligence techniques ranging from machine learning to deep learning …
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 …
Application of machine and deep learning algorithms in optical microscopic detection of Plasmodium: A malaria diagnostic tool for the future
Abstract Machine and deep learning techniques are prevalent in the medical discipline due
to their high level of accuracy in disease diagnosis. One such disease is malaria caused by …
to their high level of accuracy in disease diagnosis. One such disease is malaria caused by …
A systematic method for diagnosis of hepatitis disease using machine learning
Hepatitis is among the deadliest diseases on the planet. Machine learning approaches can
contribute toward diagnosing hepatitis disease based on a few characteristics. On the UCI …
contribute toward diagnosing hepatitis disease based on a few characteristics. On the UCI …
A comparative analysis of the ensemble method for liver disease prediction
Early diagnosis of liver disease is very important in order to save human lives and take
appropriate measure to control the disease. In several fields, especially in the field of …
appropriate measure to control the disease. In several fields, especially in the field of …
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 …
A new clinical spectrum for the assessment of nonalcoholic fatty liver disease using intelligent methods
Nonalcoholic Fatty Liver Disease (NAFLD) is the most common cause of chronic liver
disease around the world. Remaining silent in the early stages makes its evaluation a …
disease around the world. Remaining silent in the early stages makes its evaluation a …
Classification of liver disease diagnosis: A comparative study
S Bahramirad, A Mustapha… - … on Informatics & …, 2013 - ieeexplore.ieee.org
Medical Data Mining (MDM) is one of the most critical aspects of automated disease
diagnosis and disease prediction. MDM involves developing data mining algorithms and …
diagnosis and disease prediction. MDM involves developing data mining algorithms and …
Designing Chinese hospital emergency departments to leverage artificial intelligence—a systematic literature review on the challenges and opportunities
Artificial intelligence (AI) has witnessed rapid advances in the healthcare domain in recent
years, especially in the emergency field, where AI is likely to radically reshape medical …
years, especially in the emergency field, where AI is likely to radically reshape medical …
[HTML][HTML] Host transcriptomics and machine learning for secondary bacterial infections in patients with COVID-19: a prospective, observational cohort study
Background Viral respiratory tract infections are frequently complicated by secondary
bacterial infections. This study aimed to use machine learning to predict the risk of bacterial …
bacterial infections. This study aimed to use machine learning to predict the risk of bacterial …