[HTML][HTML] Optimizing classification of diseases through language model analysis of symptoms

E Hassan, T Abd El-Hafeez, MY Shams - Scientific Reports, 2024 - nature.com
This paper investigated the use of language models and deep learning techniques for
automating disease prediction from symptoms. Specifically, we explored the use of two …

Transformers, convolutional neural networks, and few-shot learning for classification of histopathological images of oral cancer

BMS Maia, MCFR de Assis, LM de Lima… - Expert Systems with …, 2024 - Elsevier
The diagnosis of oral squamous cell carcinoma or oral leukoplakia and the presence or
absence of oral epithelial dysplasia is carried by pathologists. In recent years, deep learning …

[HTML][HTML] Performance comparison of machine learning approaches on hepatitis C prediction employing data mining techniques

A Alizargar, YL Chang, TH Tan - Bioengineering, 2023 - mdpi.com
Hepatitis C is a liver infection caused by the hepatitis C virus (HCV). Due to the late onset of
symptoms, early diagnosis is difficult in this disease. Efficient prediction can save patients …

[HTML][HTML] A Comprehensive Review of Explainable AI for Disease Diagnosis

AA Biswas - Array, 2024 - Elsevier
Nowadays, artificial intelligence (AI) has been utilized in several domains of the healthcare
sector. Despite its effectiveness in healthcare settings, its massive adoption remains limited …

Enhancing heart attack prediction with machine learning: A study at jordan university hospital

M Alshraideh, N Alshraideh… - … Intelligence and Soft …, 2024 - Wiley Online Library
Efforts have been made to address the adverse impact of heart disease on society by
improving its treatment and diagnosis. This study uses the Jordan University Hospital (JUH) …

[HTML][HTML] Explainable ensemble-based machine learning models for detecting the presence of cirrhosis in Hepatitis C patients

A Alotaibi, L Alnajrani, N Alsheikh, A Alanazy… - Computation, 2023 - mdpi.com
Hepatitis C is a liver infection caused by a virus, which results in mild to severe inflammation
of the liver. Over many years, hepatitis C gradually damages the liver, often leading to …

Improved Kepler Optimization Algorithm for enhanced feature selection in liver disease classification

EH Houssein, N Abdalkarim, NA Samee… - Knowledge-Based …, 2024 - Elsevier
Liver diseases represent a significant healthcare challenge, impacting millions globally and
posing complexities in diagnosis. To address this global health concern, this paper …

A black-box model for predicting difficulty of word puzzle games: a case study of Wordle

L Shi, Y Chen, J Lin, X Chen, G Dai - Knowledge and Information Systems, 2024 - Springer
The popular word-filling game Wordle has gained widespread attention since its release in
2022. Much attention has been paid to find the optimal strategy. However, this article …

[HTML][HTML] Explainable machine learning approach for hepatitis C diagnosis using SFS feature selection

AM Ali, MR Hassan, F Aburub, M Alauthman… - Machines, 2023 - mdpi.com
Hepatitis C is a significant public health concern, resulting in substantial morbidity and
mortality worldwide. Early diagnosis and effective treatment are essential to prevent the …

Standardscaler's Potential in Enhancing Breast Cancer Accuracy Using Machine Learning

F Aldi, F Hadi, NA Rahmi, S Defit - Journal of Applied …, 2023 - journal.yrpipku.com
The major consequence of breast cancer is death. It has been proven in many studies that
machine learning techniques are more efficient in diagnosing breast cancer. These …