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Cardiotoxicity induced by the breast cancer treatments (i.e., chemotherapy, targeted therapy and radiation therapy) is a significant problem for breast cancer patients. The cardiotoxicity risk for breast cancer patients receiving different…

Applications · Statistics 2022-02-01 Sicheng Zhou , Rui Zhang , Anne Blaes , Chetan Shenoy , Gyorgy Simon

Cancer treatments are known to introduce cardiotoxicity, negatively impacting outcomes and survivorship. Identifying cancer patients at risk of heart failure (HF) is critical to improving cancer treatment outcomes and safety. This study…

Machine Learning · Computer Science 2024-11-05 Ziyi Chen , Mengyuan Zhang , Mustafa Mohammed Ahmed , Yi Guo , Thomas J. George , Jiang Bian , Yonghui Wu

We suggest that deep learning can be used for pre-screening cancer by analyzing demographic and anthropometric information of patients, as well as biological markers obtained from routine blood samples and relative risks obtained from…

Machine Learning · Statistics 2023-02-07 Rolando Gonzales Martinez , Daan-Max van Dongen

The choice of the most effective treatment may eventually be influenced by breast cancer survival prediction. To predict the chances of a patient surviving, a variety of techniques were employed, such as statistical, machine learning, and…

Machine Learning · Computer Science 2023-04-18 Khaoula Chtouki , Maryem Rhanoui , Mounia Mikram , Kamelia Amazian , Siham Yousfi

Heart disease is a serious worldwide health issue because it claims the lives of many people who might have been treated if the disease had been identified earlier. The leading cause of death in the world is cardiovascular disease, usually…

Machine Learning · Computer Science 2024-09-10 Akua Sekyiwaa Osei-Nkwantabisa , Redeemer Ntumy

Breast cancer (BC) remains a significant global health challenge, with personalized treatment selection complicated by the disease's molecular and clinical heterogeneity. BC treatment decisions rely on various patient-specific clinical…

Applications · Statistics 2025-07-10 Md Nahid Hasan , Md Monzur Murshed , Md Mahadi Hasan , Faysal A. Chowdhury

Collectively, lung cancer, breast cancer and melanoma was diagnosed in over 535,340 people out of which, 209,400 deaths were reported [13]. It is estimated that over 600,000 people will be diagnosed with these forms of cancer in 2015. Most…

Machine Learning · Computer Science 2015-09-29 Mohnish Chakravarti , Tanay Kothari

Cancer is one of the diseases that kill the most women in the world, with breast cancer being responsible for the highest number of cancer cases and consequently deaths. However, it can be prevented by early detection and, consequently,…

Machine Learning · Computer Science 2025-09-23 João Manoel Herrera Pinheiro , Marcelo Becker

Heart failure (HF) is a leading cause of morbidity, mortality, and health care costs. Prolonged conduction through the myocardium can occur with HF, and a device-driven approach, termed cardiac resynchronization therapy (CRT), can improve…

Machine Learning · Computer Science 2021-09-14 Brendan E. Odigwe , Francis G. Spinale , Homayoun Valafar

The widespread digitization of patient data via electronic health records (EHRs) has created an unprecedented opportunity to use machine learning algorithms to better predict disease risk at the patient level. Although predictive models…

Nowadays, Breast cancer has risen to become one of the most prominent causes of death in recent years. Among all malignancies, this is the most frequent and the major cause of death for women globally. Manually diagnosing this disease…

Machine Learning · Computer Science 2022-07-01 Taminul Islam , Arindom Kundu , Nazmul Islam Khan , Choyon Chandra Bonik , Flora Akter , Md Jihadul Islam

Cardiovascular diseases state as one of the greatest risks of death for the general population. Late detection in heart diseases highly conditions the chances of survival for patients. Age, sex, cholesterol level, sugar level, heart rate,…

Heart disease remains a leading cause of mortality and morbidity worldwide, necessitating the development of accurate and reliable predictive models to facilitate early detection and intervention. While state of the art work has focused on…

Machine Learning · Computer Science 2025-05-23 Mahade Hasan , Farhana Yasmin , Xue Yu

Cancer is one of the most dangerous diseases to humans, and yet no permanent cure has been developed for it. Breast cancer is one of the most common cancer types. According to the National Breast Cancer foundation, in 2020 alone, more than…

Image and Video Processing · Electrical Eng. & Systems 2022-03-10 Ali Bou Nassif , Manar Abu Talib , Qassim Nasir , Yaman Afadar , Omar Elgendy

The aim is to create a method for accurately estimating the duration of post-cancer treatment, particularly focused on chemotherapy, to optimize patient care and recovery. This initiative seeks to improve the effectiveness of cancer…

Computers and Society · Computer Science 2025-04-24 Joyee Chakraborty , Mazahrul Islam Tohin , Danbir Rashid , Tanjil Ahmed Tanmoy , Md. Jehadul Islam Mony

Late diagnosis and high costs are key factors that negatively impact the care of cancer patients worldwide. Although the availability of biological markers for the diagnosis of cancer type is increasing, costs and reliability of tests…

Machine Learning · Computer Science 2019-08-20 Sterling Ramroach , Melford John , Ajay Joshi

Cardiotoxicity induced by cancer treatment has become a major clinical concern, affecting the long-term survival and quality of life of cancer patients. Effective clinical decision-making, including the detection of cancer treatment-induced…

Human-Computer Interaction · Computer Science 2024-08-08 Siyi Wu , Weidan Cao , Shihan Fu , Bingsheng Yao , Ziqi Yang , Changchang Yin , Varun Mishra , Daniel Addison , Ping Zhang , Dakuo Wang

Breast cancer is a heterogeneous disease with different molecular subtypes, clinical behavior, treatment responses as well as survival outcomes. The development of a reliable, accurate, available and inexpensive method to predict the…

Computer Vision and Pattern Recognition · Computer Science 2024-12-20 Mohaddeseh Chegini , Ali Mahloojifar

Early screening for cancer has proven to improve the survival rate and spare patients from intensive and costly treatments due to late diagnosis. Cancer screening in the healthy population involves an initial risk stratification step to…

Background: Extensive clinical evidence suggests that a preventive screening of coronary heart disease (CHD) at an earlier stage can greatly reduce the mortality rate. We use 64 two-dimensional speckle tracking echocardiography (2D-STE)…

Machine Learning · Statistics 2021-05-21 Jingyi Zhang , Huolan Zhu , Yongkai Chen , Chenguang Yang , Huimin Cheng , Yi Li , Wenxuan Zhong , Fang Wang
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