Research on Medical Problems Based on Mathematical Models
Y Liu, R Wu, A Yang - Mathematics, 2023 - mdpi.com
Mathematical modeling can help the medical community to more fully understand and
explore the physiological and pathological processes within the human body and can …
explore the physiological and pathological processes within the human body and can …
Application of natural language processing and machine learning boosted with swarm intelligence for spam email filtering
Spam represents a genuine irritation for email users, since it often disturbs them during their
work or free time. Machine learning approaches are commonly utilized as the engine of …
work or free time. Machine learning approaches are commonly utilized as the engine of …
[HTML][HTML] A comparative assessment of machine learning algorithms with the Least Absolute Shrinkage and Selection Operator for breast cancer detection and …
Breast cancer is the most common life-threatening cancer in women and one of the leading
causes of death. Early diagnosis is one of the best defenses against the spread of breast …
causes of death. Early diagnosis is one of the best defenses against the spread of breast …
A comparative study of machine learning algorithms for detecting breast cancer
RH Khan, J Miah, MM Rahman… - 2023 IEEE 13th Annual …, 2023 - ieeexplore.ieee.org
Breast cancer poses a major hazard to women, with high morbidity and fatality rates,
because there is a lack of reliable prognostic models, clinicians find it challenging to …
because there is a lack of reliable prognostic models, clinicians find it challenging to …
Machine learning techniques for breast cancer prediction
Breast cancer is main reason for mortality in woman. Prediction of breast cancer is a
challenging task in medical data analysis. Doctors and pathologist required some …
challenging task in medical data analysis. Doctors and pathologist required some …
Explainable machine-learning models for COVID-19 prognosis prediction using clinical, laboratory and radiomic features
The SARS-CoV-2 virus pandemic had devastating effects on various aspects of life: clinical
cases, ranging from mild to severe, can lead to lung failure and to death. Due to the high …
cases, ranging from mild to severe, can lead to lung failure and to death. Due to the high …
[PDF][PDF] Breast cancer detection using machine learning approaches: a comparative study.
As the cause of the breast cancer disease has not yet clearly identified and a method to
prevent its occurrence has not yet been developed, its early detection has a significant role …
prevent its occurrence has not yet been developed, its early detection has a significant role …
Shallow and deep learning classifiers in medical image analysis
An increasingly strong connection between artificial intelligence and medicine has enabled
the development of predictive models capable of supporting physicians' decision-making …
the development of predictive models capable of supporting physicians' decision-making …
Breast cancer detection and prevention using machine learning
A Khalid, A Mehmood, A Alabrah, BF Alkhamees… - Diagnostics, 2023 - mdpi.com
Breast cancer is a common cause of female mortality in developing countries. Early
detection and treatment are crucial for successful outcomes. Breast cancer develops from …
detection and treatment are crucial for successful outcomes. Breast cancer develops from …
A hybrid algorithm of ml and xai to prevent breast cancer: a strategy to support decision making
F Silva-Aravena, H Núñez Delafuente… - Cancers, 2023 - mdpi.com
Simple Summary Breast cancer is one of the most common health problems in the world. As
a result, governments and researchers in different countries are trying to help prevent the …
a result, governments and researchers in different countries are trying to help prevent the …