[HTML][HTML] Machine learning applications in cancer prognosis and prediction
Cancer has been characterized as a heterogeneous disease consisting of many different
subtypes. The early diagnosis and prognosis of a cancer type have become a necessity in …
subtypes. The early diagnosis and prognosis of a cancer type have become a necessity in …
Artificial Intelligence (AI) for the early detection of breast cancer: a scoping review to assess AI's potential in breast screening practice
N Houssami, G Kirkpatrick-Jones… - Expert review of …, 2019 - Taylor & Francis
Introduction: Various factors are driving interest in the application of artificial intelligence (AI)
for breast cancer (BC) detection, but it is unclear whether the evidence warrants large-scale …
for breast cancer (BC) detection, but it is unclear whether the evidence warrants large-scale …
A novel hybrid deep learning model for metastatic cancer detection
Cancer has been found as a heterogeneous disease with various subtypes and aims to
destroy the body's normal cells abruptly. As a result, it is essential to detect and prognosis …
destroy the body's normal cells abruptly. As a result, it is essential to detect and prognosis …
[PDF][PDF] Ensemble of Machine Learning Fusion Models for Breast Cancer Detection Based on the Regression Model.
HA Alsayadi, AA Abdelhamid… - Fusion: Practice & …, 2022 - researchgate.net
Breast cancer is one of the deadliest cancers among women worldwide and one of the main
causes of mortality for women in the United States. Breast cancer can be detected earlier …
causes of mortality for women in the United States. Breast cancer can be detected earlier …
[PDF][PDF] Descriptive analysis of machine learning and its application in healthcare
SS Gadde, VDR Kalli - Int J Comp Sci Trends Technol, 2020 - academia.edu
The dynamic world of big data in the healthcare sector characterized by huge numbers,
complexity, and speeds is also not suited to conventional research methods. Methods are …
complexity, and speeds is also not suited to conventional research methods. Methods are …
A machine learning method for classification of cervical cancer
Cervical cancer is one of the leading causes of premature mortality among women
worldwide and more than 85% of these deaths are in developing countries. There are …
worldwide and more than 85% of these deaths are in developing countries. There are …
Machine learning algorithm in healthcare system: A Review
PK Kushwaha, M Kumaresan - 2021 International Conference …, 2021 - ieeexplore.ieee.org
In the last decades Machine learning techniques are widely used in the field of healthcare
systems due to its data processing and analysis capabilities. Machine Learning is a sub …
systems due to its data processing and analysis capabilities. Machine Learning is a sub …
Deep machine learning for oral cancer: from precise diagnosis to precision medicine
RO Alabi, A Almangush, M Elmusrati… - Frontiers in Oral …, 2022 - frontiersin.org
Oral squamous cell carcinoma (OSCC) is one of the most prevalent cancers worldwide and
its incidence is on the rise in many populations. The high incidence rate, late diagnosis, and …
its incidence is on the rise in many populations. The high incidence rate, late diagnosis, and …
Calibrating predictive model estimates to support personalized medicine
Objective: Predictive models that generate individualized estimates for medically relevant
outcomes are playing increasing roles in clinical care and translational research. However …
outcomes are playing increasing roles in clinical care and translational research. However …
[HTML][HTML] Diagnostic accuracy of different machine learning algorithms for breast cancer risk calculation: a meta-analysis
Objective The aim of this study was to determine the diagnostic accuracy of different
machine learning algorithms for breast cancer risk calculation. Methods A meta-analysis …
machine learning algorithms for breast cancer risk calculation. Methods A meta-analysis …