Machine learning techniques for personalised medicine approaches in immune-mediated chronic inflammatory diseases: applications and challenges

J Peng, EC Jury, P Dönnes, C Ciurtin - Frontiers in pharmacology, 2021 - frontiersin.org
In the past decade, the emergence of machine learning (ML) applications has led to
significant advances towards implementation of personalised medicine approaches for …

Application of artificial intelligence for the diagnosis and treatment of liver diseases

JC Ahn, A Connell, DA Simonetto, C Hughes… - …, 2021 - Wiley Online Library
Modern medical care produces large volumes of multimodal patient data, which many
clinicians struggle to process and synthesize into actionable knowledge. In recent years …

Stroke risk prediction with machine learning techniques

E Dritsas, M Trigka - Sensors, 2022 - mdpi.com
A stroke is caused when blood flow to a part of the brain is stopped abruptly. Without the
blood supply, the brain cells gradually die, and disability occurs depending on the area of …

Hep-pred: hepatitis c staging prediction using fine gaussian svm

TM Ghazal - Computers, Materials & Continua, 2021 - research.skylineuniversity.ac.ae
Hepatitis C is a contagious blood-borne infection, and it is mostly asymptomatic during the
initial stages. Therefore, it is difficult to diagnose and treat patients in the early stages of …

Lung cancer risk prediction with machine learning models

E Dritsas, M Trigka - Big Data and Cognitive Computing, 2022 - mdpi.com
The lungs are the center of breath control and ensure that every cell in the body receives
oxygen. At the same time, they filter the air to prevent the entry of useless substances and …

Hybrid model for precise hepatitis-C classification using improved random forest and SVM method

UK Lilhore, P Manoharan, JK Sandhu, S Simaiya… - Scientific Reports, 2023 - nature.com
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 …

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 …

[HTML][HTML] Artificial intelligence in gastroenterology: A state-of-the-art review

PT Kröner, MML Engels, BS Glicksberg… - World journal of …, 2021 - ncbi.nlm.nih.gov
The development of artificial intelligence (AI) has increased dramatically in the last 20 years,
with clinical applications progressively being explored for most of the medical specialties …

[PDF][PDF] Applying machine learning in liver disease and transplantation: a comprehensive review

A Spann, A Yasodhara, J Kang, K Watt, BO Wang… - …, 2020 - Wiley Online Library
Machine learning (ML) utilizes artificial intelligence to generate predictive models efficiently
and more effectively than conventional methods through detection of hidden patterns within …

Imputation of missing values for electronic health record laboratory data

J Li, XS Yan, D Chaudhary, V Avula, S Mudiganti… - NPJ digital …, 2021 - nature.com
Abstract Laboratory data from Electronic Health Records (EHR) are often used in prediction
models where estimation bias and model performance from missingness can be mitigated …