English
Related papers

Related papers: Breast Cancer Data Analytics With Missing Values: …

200 papers

Understanding the factors that explain differences in survival times is an important issue for establishing policies to improve national health systems. Motivated by breast cancer data arising from the Surveillance Epidemiology and End…

Applications · Statistics 2015-05-13 Haiming Zhou , Timothy Hanson , Alejandro Jara , Jiajia Zhang

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

We use a combination of extreme value theory, survival analysis and computer-intensive methods to analyze the mortality of Italian and French semi-supercentenarians for whom there are validated records. After accounting for the effects of…

Applications · Statistics 2021-10-01 Léo R. Belzile , Anthony C. Davison , Holger Rootzén , Dmitrii Zholud

Breast cancer screening plays a pivotal role in early detection and subsequent effective management of the disease, impacting patient outcomes and survival rates. This study aims to assess breast cancer screening rates nationwide in the…

Breast cancer is the most commonly occurring cancer worldwide. This cancer caused 670,000 deaths globally in 2022, as reported by the WHO. Yet since health officials began routine mammography screening in age groups deemed at risk in the…

Computer Vision and Pattern Recognition · Computer Science 2025-06-17 Mahmudul Hasan

The biggest Breast cancer is increasingly a major factor in female fatalities, overtaking heart disease. While genetic factors are important in the growth of breast cancer, new research indicates that environmental factors also play a…

Machine Learning · Computer Science 2023-09-27 Muhammad Shoaib Farooq , Mehreen Ilyas

In this paper we utilize a survival analysis methodology incorporating Bayesian additive regression trees to account for nonlinear and additive covariate effects. We compare the performance of Bayesian additive regression trees, Cox…

Applications · Statistics 2019-11-05 Satabdi Saha , Duchwan Ryu , Nader Ebrahimi

Cancer is increasingly a global health issue. Seconding cardiovascular diseases, cancers are the second biggest cause of death in the world with millions of people succumbing to the disease every year. According to the World Health…

Image and Video Processing · Electrical Eng. & Systems 2023-03-21 Bonaventure F. P. Dossou , Yenoukoume S. K. Gbenou , Miglanche Ghomsi Nono

More than 144 000 Australians were diagnosed with cancer in 2019. The majority will first present to their GP symptomatically, even for cancer for which screening programs exist. Diagnosing cancer in primary care is challenging due to the…

Machine Learning · Computer Science 2020-12-21 Goce Ristanoski , Jon Emery , Javiera Martinez-Gutierrez , Damien Mccarthy , Uwe Aickelin

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

Accurate estimation of cancer mortality rates and the comparison across cancer sites, populations or time periods is crucial to public health, as identification of vulnerable groups who suffer the most from these diseases may lead to…

Methodology · Statistics 2014-01-31 Martina Fu , David Todem , Wenjiang J. Fu , Shuangge Ma

Motivation: Predicting the metastatic potential of primary malignant tissues has direct bearing on choice of therapy. Several microarray studies yielded gene sets whose expression profiles successfully predicted survival (Ramaswamy et al…

Quantitative Methods · Quantitative Biology 2007-05-23 Liat Ein-Dor , Itai Kela , Gad Getz , David Givol , Eytan Domany

From a public health perspective, previous research on comorbidity tends to have focused on identifying the most prevalent groupings of illnesses that demonstrate comorbidity, particularly among the elderly population, already in receipt of…

Applications · Statistics 2014-11-12 Karyn Morrissey , Ferran Espuny , Paul Williamson

As much as data science is playing a pivotal role everywhere, healthcare also finds it prominent application. Breast Cancer is the top rated type of cancer amongst women; which took away 627,000 lives alone. This high mortality rate due to…

Machine Learning · Computer Science 2019-02-26 Vivek Kumar , Brojo Kishore Mishra , Manuel Mazzara , Dang N. H. Thanh , Abhishek Verma

This report assesses different machine learning approaches to 10-year survival prediction of breast cancer patients.

Machine Learning · Computer Science 2019-11-05 Changmao Li , Han He , Yunze Hao , Caleb Ziems

There has been great concern in the UK that people from the BAME (Black And Minority Ethnic) community have a far higher risk of dying from Covid19 than those of other ethnicities. However, the overall fatalities data from the Government's…

Physics and Society · Physics 2020-07-15 Norman Fenton

Relative survival represents the preferred framework for the analysis of population cancer survival data. The aim is to model the survival probability associated to cancer in the absence of information about the cause of death. Recent data…

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

Breast cancer is one of the leading cancers for women in developed countries including India. It is the second most common cause of cancer death in women. The high incidence of breast cancer in women has increased significantly in the last…

Databases · Computer Science 2012-05-10 Shweta Kharya

This study explores how obesity and race jointly influence the development and prognosis of Luminal subtypes of breast cancer, with a focus on distinguishing Luminal A from the more aggressive Luminal B tumors. Drawing on large-scale…

Quantitative Methods · Quantitative Biology 2025-07-30 Izabel Valdez , Paramahansa Pramanik