Machine learning prediction of breast cancer survival using age, sex, length of stay, mode of diagnosis and location of cancer

HI Okagbue, PI Adamu, PE Oguntunde… - Health and …, 2021 - Springer
Breast cancer is one of the leading causes of death in females and survival depends on
early diagnosis and treatment. This paper applied machine learning techniques in prediction …

Machine Learning in Healthcare: Applications, Current Status, and Future Prospects

R Patil, K Shah - Handbook of Research on Machine Learning, 2022 - api.taylorfrancis.com
Significant progress in science related to an understanding of disease and treatment has
contributed to an increase in the life span of people. With increasing urbanization and …

[PDF][PDF] An extensible framework for recurrent breast cancer prognosis using deep learning techniques

RS Shankar, RS Chigurupati, P Voosala… - Indonesian Journal of …, 2023 - academia.edu
Due to population growth, early illness detection is getting more challenging. Breast cancer
is the second-deadliest malignancy. An estimated one million people are newly diagnosed …

Unique clusters of patterns of breast cancer survivorship

HI Okagbue, PE Oguntunde, PI Adamu… - Health and …, 2022 - Springer
This research focused on analyzing and classifying the survival of some breast cancer in-
patients in Kwara State, Nigeria. The relationships between some variables that were …

Multimodal prediction of breast cancer relapse prior to neoadjuvant chemotherapy treatment

S Rabinovici-Cohen, A Abutbul, XM Fernández… - Predictive Intelligence in …, 2020 - Springer
Neoadjuvant chemotherapy (NAC) is one of the treatment options for women diagnosed with
breast cancer, in which chemotherapy is administered prior to surgery. In current clinical …

[PDF][PDF] Breast cancer predication using machine learning and data mining

K Swetha, R Ranjana - … Journal of Scientific Research in Computer …, 2020 - academia.edu
Breast cancer is a type of cancer that emerge in breast of a women or a men. mostly women
are affected by breast cancer than men. it is important to know that most breast lumps are …

Enhanced Breast Cancer Relapse Prediction using Ensemble Learning Techniques

MK Tripathi, M Ananya, V Murthy… - 2024 4th …, 2024 - ieeexplore.ieee.org
Breast cancer remains a significant health concern for women, and accurate prediction of
recurrence is vital for effective treatment and improved outcomes. This research investigates …

[PDF][PDF] Breast cancer relapse disease prediction improvements with ensemble learning approaches

G Sahoo, AK Nayak, PK Tripathy, A Pati… - Indonesian Journal of …, 2024 - researchgate.net
Diagnosis and prognosis are especially difficult areas of medical research related to cancer
due to the high incidence of breast cancer, which has surpassed all other cancers in terms of …

[PDF][PDF] A STUDY FOR DIAGNOSING AND TREATMENT OF CHRONIC AND RECURRENT DISEASES USING DATA MINING TECHNIQUES Thesis submitted to

AK CHAUDHURI - 2022 - researchgate.net
The healthcare industry is one of the most information-intensive sectors. Medical facts,
expertise, and information continue to expand every day. It was projected that five terabytes …