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Development of Mastectomy Bra for Breast Cancer Survivors
Breast cancer is the most common cancer among women in India, accounting for 25–32% of female cancers in all cities across the country. It is...
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Value of Original and Generated Ultrasound Data Towards Training Robust Classifiers for Breast Cancer Identification
Breast cancer represents one of the leading causes of death among women, with 1 in 39 (around 2.5%) of them losing their lives annually, at the...
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Textile monopole sensors for breast cancer detection
This paper presents two flexible monopole antennas implemented on cotton substrate as sensors designed for radar-based microwave imaging and...
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A multi-objective constrained partially observable Markov decision process model for breast cancer screening
Breast cancer is a common and deadly disease, but it is often curable when diagnosed early. While most countries have large-scale screening programs,...
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Optimal breast cancer risk reduction policies tailored to personal risk level
Depending on personal and hereditary factors, each woman has a different risk of develo** breast cancer, one of the leading causes of death for...
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Inverse optimization on hierarchical networks: an application to breast cancer clinical pathways
Clinical pathways are standardized processes that outline the steps required for managing a specific disease. However, patient pathways often deviate...
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Two new feature selection methods based on learn-heuristic techniques for breast cancer prediction: a comprehensive analysis
In recent decades, breast cancer has become one of the leading causes of mortality among women. This disease is not preventable because of its...
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The Spanish Cancer Association: Supporting SDGs
The Spanish Cancer Association (Asociación Española Contra el Cáncer—AECC, in Spanish) runs different campaigns aimed at sharing information and...
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All United Against Breast Cancer: The Solidarity Beauty of Estée Lauder
The number of companies incorporating social awareness into their business strategy and practices is steadily increasing. This research analyzes the...
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Deep Learning and Prediction of Survival Period for Breast Cancer Patients
With the rise of deep learning, cancer-specific survival prediction is a research topic of high interest. There are many benefits to both patients...
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A Classification Algorithm Based on Linear Regression and Linear Programming for Predicting the Breast Cancer
In this study, we consider the classification problem in the healthcare domain, and the objective of the problem is to diagnose the breast cancer...
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The Role of Cause-Related Marketing in the Case of Breast Cancer in Romania
This chapter discusses a case that presents and analyses a cause-related marketing campaign on the fight against breast cancer in Romania, campaign...
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MRFE-CNN: multi-route feature extraction model for breast tumor segmentation in Mammograms using a convolutional neural network
Breast cancer is cancer that develops from the breast tissue and has been recognized as one of the most dangerous and deadly diseases that is the...
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Multiple Criteria Decision Models in Healthcare
This chapter covers applications focusing on multiple criteria analysis. Six applications covering healthcare decisions are reviewed involving...
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Data-driven analysis of influence between radiologists for diagnosis of breast lesions
Breast lesions are the most common threat to the health of women. The accumulation of historical examination reports for diagnosing breast lesions in...
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Post Breast Cancer Coaching Path: A Co-production Experience for Women
Breast cancer is one of the most relevant diseases for women all over the world. Statistics claim that one out of eight women experiences breast...
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HBagging-MCDM: an ensemble classifier combined with multiple criteria decision making for rectal cancer survival prediction
As a main type of colorectal cancer, rectal cancer has a high risk and mortality rate so it is very important to accurately predict the survivability...
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A Low-Power Analog Bell-Shaped Classifier Based on Parallel-Connected Gaussian Function Circuits
In this study, a novel approach is presented for develo** ultra-low power analog classifiers capable of effectively handling multiple input...
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mHealth for Medication and Side Effect Monitoring: Patients’ Attitudes Toward Smart Devices for Managing Oral Chemotherapy During Lung Cancer Treatment
In recent years, new treatments have become available which have improved survival rates in lung cancer patients. One promising treatment option is...