Machine learning in oral squamous cell carcinoma: Current status, clinical concerns and prospects for future—A systematic review

RO Alabi, O Youssef, M Pirinen, M Elmusrati… - Artificial intelligence in …, 2021 - Elsevier
Background Oral cancer can show heterogenous patterns of behavior. For proper and
effective management of oral cancer, early diagnosis and accurate prediction of prognosis …

Data mining in healthcare–a review

N Jothi, W Husain - Procedia computer science, 2015 - Elsevier
The knowledge discovery in database (KDD) is alarmed with development of methods and
techniques for making use of data. One of the most important step of the KDD is the data …

Artificial intelligence based medical decision support system for early and accurate breast cancer prediction

LK Singh, M Khanna, R Singh - Advances in engineering software, 2023 - Elsevier
Feature selection, which picks the optimal subset of characteristics related to the target data
by deleting unnecessary data, is one of the most important aspects of the machine learning …

Particle swarm optimization feature selection for breast cancer recurrence prediction

SB Sakri, NBA Rashid, ZM Zain - IEEE Access, 2018 - ieeexplore.ieee.org
Women who have recovered from breast cancer (BC) always fear its recurrence. The fact
that they have endured the painstaking treatment makes recurrence their greatest fear …

[PDF][PDF] Comparative study of chronic kidney disease prediction using KNN and SVM

P Sinha, P Sinha - International Journal of Engineering Research …, 2015 - academia.edu
Chronic kidney disease (CKD), also known as chronic renal disease. Chronic kidney
disease involves conditions that damage your kidneys and decrease their ability to keep you …

Comparative study of classifier for chronic kidney disease prediction using naive bayes, KNN and random forest

R Devika, SV Avilala… - 2019 3rd International …, 2019 - ieeexplore.ieee.org
Chronic kidney disease (CKD), is also known as chronic nephritic sickness. It defines
constrains which affects your kidneys and reduces your potential to stay healthy. There will …

Comparison of nomogram with machine learning techniques for prediction of overall survival in patients with tongue cancer

RO Alabi, AA Mäkitie, M Pirinen, M Elmusrati… - International journal of …, 2021 - Elsevier
Background The prediction of overall survival in tongue cancer is important for planning of
personalized care and patient counselling. Objectives This study compares the performance …

Efficient feature selection for breast cancer classification using soft computing approach: A novel clinical decision support system

LK Singh, M Khanna, R Singh - Multimedia Tools and Applications, 2024 - Springer
One of the essential data pre-processing methods for enhancing the performance of
machine learning (ML) models is feature selection. Because they choose the most optimal …

An artificial intelligence approach to early predict symptom-based exacerbations of COPD

MA Fernandez-Granero… - Biotechnology & …, 2018 - Taylor & Francis
Acute exacerbations are one of the main causes that reduce health-related quality of life and
lead to hospitalisations of patients of chronic obstructive pulmonary disease (COPD) …

[HTML][HTML] Predicting generalized anxiety disorder among women using Shapley value

N Jothi, W Husain - Journal of infection and public health, 2021 - Elsevier
Mental illness is a set of health problems that affect the way individuals perceive themselves,
relate to others, and interact with the world around them. Due to the myriad of underlying …