Classification and diagnostic prediction of breast cancer metastasis on clinical data using machine learning algorithms

• Published in: Scientific reports Vol. 13; no. 1; p. 485
• Main Authors: Botlagunta, Mahendran, Botlagunta, Madhavi Devi, Myneni, Madhu Bala, Lakshmi, D., Nayyar, Anand, Gullapalli, Jaithra Sai, Shah, Mohd Asif
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 10.01.2023; Nature Publishing Group; Nature Portfolio
• Subjects: 631/67; 692/308; 692/4028; Accuracy; Algorithms; Blood; Breast cancer; Breast Neoplasms - diagnosis; Classification; Data mining; Data processing; Diagnosis; Electronic medical records; Female; Humanities and Social Sciences; Humans; Learning algorithms; Machine Learning; Malignancy; Melanoma, Cutaneous Malignant; Metastases; Monocytes; multidisciplinary; Neoplasms, Second Primary; Patients; Science; Science (multidisciplinary); Software; Statistical analysis

Metastatic Breast Cancer (MBC) is one of the primary causes of cancer-related deaths in women. Despite several limitations, histopathological information about the malignancy is used for the classification of cancer. The objective of our study is to develop a non-invasive breast cancer classificatio...