Application of artificial intelligence to gastroenterology and hepatology
Since 2010, substantial progress has been made in artificial intelligence (AI) and its
application to medicine. AI is explored in gastroenterology for endoscopic analysis of …
application to medicine. AI is explored in gastroenterology for endoscopic analysis of …
Application of artificial intelligence for the diagnosis and treatment of liver diseases
Modern medical care produces large volumes of multimodal patient data, which many
clinicians struggle to process and synthesize into actionable knowledge. In recent years …
clinicians struggle to process and synthesize into actionable knowledge. In recent years …
Hybrid model for precise hepatitis-C classification using improved random forest and SVM method
Abstract Hepatitis C Virus (HCV) is a viral infection that causes liver inflammation. Annually,
approximately 3.4 million cases of HCV are reported worldwide. A diagnosis of HCV in …
approximately 3.4 million cases of HCV are reported worldwide. A diagnosis of HCV in …
Opening the black box of AI‐Medicine
AIF Poon, JJY Sung - Journal of gastroenterology and …, 2021 - Wiley Online Library
One of the biggest challenges of utilizing artificial intelligence (AI) in medicine is that
physicians are reluctant to trust and adopt something that they do not fully understand and …
physicians are reluctant to trust and adopt something that they do not fully understand and …
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 …
Enhanced preprocessing approach using ensemble machine learning algorithms for detecting liver disease
There has been a sharp increase in liver disease globally, and many people are dying
without even knowing that they have it. As a result of its limited symptoms, it is extremely …
without even knowing that they have it. As a result of its limited symptoms, it is extremely …
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 explainable artificial intelligence framework for the deterioration risk prediction of hepatitis patients
J Peng, K Zou, M Zhou, Y Teng, X Zhu, F Zhang… - Journal of medical …, 2021 - Springer
In recent years, artificial intelligence-based computer aided diagnosis (CAD) system for the
hepatitis has made great progress. Especially, the complex models such as deep learning …
hepatitis has made great progress. Especially, the complex models such as deep learning …
HLA‐B* 35: 01 and green tea–induced liver injury
JH Hoofnagle, HL Bonkovsky, EJ Phillips, YJ Li… - Hepatology, 2021 - journals.lww.com
Modern medical care produces large volumes of multimodal patient data, which many
clinicians struggle to process and synthesize into actionable knowledge. In recent years …
clinicians struggle to process and synthesize into actionable knowledge. In recent years …
Prediction of coronary heart disease using supervised machine learning algorithms
D Krishnani, A Kumari, A Dewangan… - TENCON 2019-2019 …, 2019 - ieeexplore.ieee.org
New technologies like Machine learning and Big data analytics have been proven to provide
promising solutions to biomedical communities, healthcare problems, and patient care. They …
promising solutions to biomedical communities, healthcare problems, and patient care. They …