Machine learning (ML) in medicine: Review, applications, and challenges

AM Rahmani, E Yousefpoor, MS Yousefpoor… - Mathematics, 2021 - mdpi.com
Today, artificial intelligence (AI) and machine learning (ML) have dramatically advanced in
various industries, especially medicine. AI describes computational programs that mimic and …

Accelerating materials discovery using machine learning

Y Juan, Y Dai, Y Yang, J Zhang - Journal of Materials Science & …, 2021 - Elsevier
The discovery of new materials is one of the driving forces to promote the development of
modern society and technology innovation, the traditional materials research mainly …

Analysis of dimensionality reduction techniques on big data

GT Reddy, MPK Reddy, K Lakshmanna, R Kaluri… - Ieee …, 2020 - ieeexplore.ieee.org
Due to digitization, a huge volume of data is being generated across several sectors such as
healthcare, production, sales, IoT devices, Web, organizations. Machine learning algorithms …

Application of decision tree-based ensemble learning in the classification of breast cancer

MM Ghiasi, S Zendehboudi - Computers in biology and medicine, 2021 - Elsevier
As a common screening and diagnostic tool, Fine Needle Aspiration Biopsy (FNAB) of the
suspicious breast lumps can be used to distinguish between malignant and benign breast …

An enhanced Predictive heterogeneous ensemble model for breast cancer prediction

S Nanglia, M Ahmad, FA Khan, NZ Jhanjhi - Biomedical Signal Processing …, 2022 - Elsevier
Breast Cancer is one of the most prevalent tumors after lung cancer and is common in both
women and men. This disease is mostly asymptomatic in the early stages thus detection is …

Prediction of breast cancer, comparative review of machine learning techniques, and their analysis

N Fatima, L Liu, S Hong, H Ahmed - IEEE Access, 2020 - ieeexplore.ieee.org
Breast cancer is type of tumor that occurs in the tissues of the breast. It is most common type
of cancer found in women around the world and it is among the leading causes of deaths in …

Deep learning for medical image-based cancer diagnosis

X Jiang, Z Hu, S Wang, Y Zhang - Cancers, 2023 - mdpi.com
Simple Summary Deep learning has succeeded greatly in medical image-based cancer
diagnosis. To help readers better understand the current research status and ideas, this …

An optimal pruning algorithm of classifier ensembles: dynamic programming approach

OA Alzubi, JA Alzubi, M Alweshah, I Qiqieh… - Neural Computing and …, 2020 - Springer
In recent years, classifier ensemble techniques have drawn the attention of many
researchers in the machine learning research community. The ultimate goal of these …

Breast tumor classification using an ensemble machine learning method

AS Assiri, S Nazir, SA Velastin - Journal of Imaging, 2020 - mdpi.com
Breast cancer is the most common cause of death for women worldwide. Thus, the ability of
artificial intelligence systems to detect possible breast cancer is very important. In this paper …

Optimized stacking ensemble learning model for breast cancer detection and classification using machine learning

M Kumar, S Singhal, S Shekhar, B Sharma… - Sustainability, 2022 - mdpi.com
Breast cancer is the most frequently encountered medical hazard for women in their forties,
affecting one in every eight women. It is the greatest cause of death worldwide, and early …