English
Related papers

Related papers: Ten-year Survival Prediction for Breast Cancer Pat…

200 papers

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

This paper primarily addresses a dataset relating to cellular, chemical and physical conditions of patients gathered at the time they are operated upon to remove colorectal tumours. This data provides a unique insight into the biochemical…

Machine Learning · Computer Science 2016-11-17 Christopher Roadknight , Durga Suryanarayanan , Uwe Aickelin , John Scholefield , Lindy Durrant

Breast cancer research over the last decade has been tremendous. The ground breaking innovations and novel methods help in the early detection, in setting the stages of the therapy and in assessing the response of the patient to the…

Neural and Evolutionary Computing · Computer Science 2012-06-19 Mahjabeen Mirza Beg , Monika Jain

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

Breast cancer is a prevalent form of cancer among women, with over 1.5 million women being diagnosed each year. Unfortunately, the survival rates for breast cancer patients in certain third-world countries, like South Africa, are alarmingly…

Computer Vision and Pattern Recognition · Computer Science 2023-06-01 Brennon Maistry , Absalom E. Ezugwu

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

Tongue cancer is a common oral cavity malignancy that originates in the mouth and throat. Much effort has been invested in improving its diagnosis, treatment, and management. Surgical removal, chemotherapy, and radiation therapy remain the…

Quantitative Methods · Quantitative Biology 2022-12-26 Angelos Vasilopoulos , Nan Miles Xi

Five-year cancer survival rates are widely reported and often interpreted to mean that early detection saves lives, that a late fatal diagnosis would have been prevented by earlier detection, and that increasing survival over time proves…

Methodology · Statistics 2026-03-23 Allen B. Downey

Brain tumor is a life-threatening problem and hampers the normal functioning of the human body. The average five-year relative survival rate for malignant brain tumors is 35.6 percent. For proper diagnosis and efficient treatment planning,…

Image and Video Processing · Electrical Eng. & Systems 2024-07-16 Vidhyapriya Ranganathan , Celshiya Udaiyar , Jaisree Jayanth , Meghaa P , Srija B , Uthra S

Treatments for breast cancer have continued to evolve and improve in recent years, resulting in a substantial increase in survival rates, with approximately 80\% of patients having a 10-year survival period. Given the serious impact that…

Computer Vision and Pattern Recognition · Computer Science 2022-05-26 Wilson Silva , Maria Carvalho , Carlos Mavioso , Maria J. Cardoso , Jaime S. Cardoso

In this paper, we describe a dataset relating to cellular and physical conditions of patients who are operated upon to remove colorectal tumours. This data provides a unique insight into immunological status at the point of tumour removal,…

Machine Learning · Computer Science 2016-11-15 Chris Roadknight , Uwe Aickelin , John Scholefield , Lindy Durrant

Breast cancer is one of the most threatening diseases in women's life; thus, the early and accurate diagnosis plays a key role in reducing the risk of death in a patient's life. Mammography stands as the reference technique for breast…

Machine Learning · Computer Science 2023-05-05 Juan Zuluaga-Gomez

Prediction of survival for cancer patients is an open area of research. However, many of these studies focus on datasets with a large number of patients. We present a novel method that is specifically designed to address the challenge of…

Machine Learning · Computer Science 2015-09-30 Hamid Reza Hassanzadeh , John H. Phan , May D. Wang

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

Accurate and transparent prediction of cancer survival times on the level of individual patients can inform and improve patient care and treatment practices. In this paper, we design a model that concurrently learns to accurately predict…

Machine Learning · Computer Science 2018-01-31 Maruan Al-Shedivat , Avinava Dubey , Eric P. Xing

Cancer remains a leading global health challenge and a major cause of mortality. This study leverages machine learning (ML) to predict the survivability of cancer patients with metastatic patterns using the comprehensive MSK-MET dataset,…

Quantitative Methods · Quantitative Biology 2025-04-10 Polycarp Nalela , Deepthi Rao , Praveen Rao

Breast cancer is one of the two cancers responsible for the most deaths in women, with about 42,000 deaths each year in the US. That there are over 300,000 breast cancers newly diagnosed each year suggests that only a fraction of the…

Machine Learning · Computer Science 2024-08-30 Xia Jiang , Yijun Zhou , Alan Wells , Adam Brufsky

Breast cancer has rapidly increased in prevalence in recent years, making it one of the leading causes of mortality worldwide. Among all cancers, it is by far the most common. Diagnosing this illness manually requires significant time and…

Breast cancer remains a significant global health challenge, with prognosis and treatment decisions largely dependent on clinical characteristics. Accurate prediction of patient outcomes is crucial for personalized treatment strategies.…

In this work, we investigate the importance of ethnicity in colorectal cancer survivability prediction using machine learning techniques and the SEER cancer incidence database. We compare model performances for 2-year survivability…

Machine Learning · Computer Science 2019-01-15 Samuel Li , Talayeh Razzaghi
‹ Prev 1 2 3 10 Next ›