Untangling classification methods for melanoma skin cancer

A Kumar, A Vatsa - Frontiers in big Data, 2022 - frontiersin.org
Skin cancer is the most common cancer in the USA, and it is a leading cause of death
worldwide. Every year, more than five million patients are newly diagnosed in the USA. The …

Breast Cancer-Risk Factors and Prediction Using Machine-Learning Algorithms and Data Source: A Review of Literature

A Alsabry, M Algabri, AM Ahsan - Sana'a University Journal of …, 2023 - journals.su.edu.ye
Breast cancer (BC) is a major health concern worldwide. It is a complex and multifactorial
disease, and identifying its risk factors is crucial for early detection and effective treatment …

Comparative analysis and visualization of breast cancer using machine learning models

A Rani, N Sharma - 2022 10th International Conference on …, 2022 - ieeexplore.ieee.org
In recent decades, humans especially women are now commonly threatened by breast
cancer, which has a high morbidity and fatality rate. It is challenging for doctors to develop a …

A Convolutional Neural Network Based Prediction Model for Classification of Skin Cancer Images

V Saini, N Rai, N Sharma, VK Shrivastava - International Conference on …, 2022 - Springer
There has been an unprecedented rise in the cases of skin diseases since past few decades
owing to several factors. Among several skin diseases, skin cancer has also taken a steep …

Attraction-Repulsion Swarming: A Generalized Framework of t-SNE via Force Normalization and Tunable Interactions

J Lu, J Calder - arxiv preprint arxiv:2411.10617, 2024 - arxiv.org
We propose a new method for data visualization based on attraction-repulsion swarming
(ARS) dynamics, which we call ARS visualization. ARS is a generalized framework that is …

Supervised Learning Techniques for Sentiment Analysis

N Sharma, M Mangla, SN Mohanty - Emerging Technologies in Data …, 2022 - Springer
Data mining implies the application of techniques of obtaining useful knowledge from a
huge data. Another term for data mining is knowledge discovery from data. For the same …

Simultaneous count data feature selection and clustering using Multinomial Nested Dirichlet Mixture

F Alkhawaja, M Amayri, N Bouguila - The International FLAIRS …, 2024 - journals.flvc.org
The elevating effect of the curse of dimensionality in count data has made clustering a
challenging task. This paper solves this by adopting the concept of feature saliency as a …

An Analysis Employing Various Machine Learning Algorithms for Detection of Malicious URLs

F Rizvi, S Mohi ud din, N Sharma… - International Advanced …, 2022 - Springer
Currently, there are millions and trillions of webpages online. Therefore, in order to protect
their data, users must be able to distinguish between trustworthy and dangerous websites …

Development of an Artificial intelligence Breast Cancer diagnostic tool

RSP de Castro - 2023 - search.proquest.com
Breast cancer poses a global healthcare challenge due to its prevalence and multifactorial
etiology. Despite advances in early detection and treatment, therapeutic approaches like …

[PDF][PDF] MSc Applied AI and Data Science

E Iton - 2022 - solent.ac.uk
Breast cancer is one of the major causes of deaths in females worldwide. This project is
focused on creating a system to identify the chances of the disease recurring in both …