Enhancing Breast Cancer Diagnosis through Predictive Analytics
DOI:
https://doi.org/10.32628/CSEIT241061133Keywords:
breast cancer, artificial intelligence, machine learning, power BIAbstract
Breast cancer is one of the leading causes of cancer-related deaths among women globally. Early and accurate diagnosis is crucial for improving patient outcomes. Predictive analytics, leveraging machine learning and artificial intelligence (AI), offers promising advancements in breast cancer diagnosis by enhancing diagnostic accuracy, reducing false positives, and enabling personalized treatment plans. This research explores the role of predictive analytics in breast cancer diagnosis, covering methodologies, benefits, challenges, and future directions. Creating a power BI dashboard for visualization. By analyzing data from various sources, including mammograms, biopsies, and genetic profiles, predictive models can significantly improve diagnostic precision, thus contributing to better healthcare delivery.
Downloads
References
Wilson N, Ironside A, Diana A, Oikonomidou O. Lobular breast Cancer: a review. Front Oncol 2021;10.https://pubmed.ncbi.nlm.nih.gov/335207 DOI: https://doi.org/10.3389/fonc.2020.591399
Oesterreich S, Nasrazadani A, Zou J, Carleton N, Onger T, Wright MD, et al. Clinicopathological features and outcomes comparing patients with invasive ductal and lobular breast Cancer. JNCI: J Natl Cancer Inst. 2022;114(11):1511–22.https://pubmed.ncbi.nlm.nih.gov/362397/ DOI: https://doi.org/10.1093/jnci/djac157
Yang C, Lei C, Zhang Y, Zhang J, Ji F, Pan W, et al. Comparison of overall survival between invasive lobular breast carcinoma and invasive ductal breast carcinoma: a propensity score matching study based on SEER Database
Engstrøm MJ, Opdahl S, Vatten LJ, Haugen OA, Bofin AM. Invasive lobular breast cancer: the prognostic impact of histopathological grade, E-cadherin and molecular subtypes. Histopathology
Giovanni Corso, Nicola Fusco, Elena Guerini-Rocco, Maria Cristina Leonardi, Carmen Criscitiello, Paola Zagami, Eleonora Nicolo, Giovanni Mazzarol.
El Ouardani S, Chibani H, El Jarroudi M, Mouhoub M, Al Jarroudi O, Hadj Kacem H, Brahmi SA, Afqir S. Diagnostic Challenges for Clinicians in Lobular
Koufopoulos N, Pateras IS, Gouloumis AR, Ieronimaki AI, Zacharatou A, Spathis A, Leventakou D, Economopoulou P, Psyrri A.
Jocelyn Luveta, Ruth M Parks, David M Heery. Lobular Breast Cancer as a Distinct Dise
Hind D, Ward S, De Nigris E, Simpson E, Carroll C.Hormonal therapies for early breast cancer
Christopher Dunn, Susan J Keam,Letrozole: a pharmacoeconomic women with breast cancer2006.https://pubmed.ncbi.nlm.nih.gov
Downloads
Published
Issue
Section
License
Copyright (c) 2024 International Journal of Scientific Research in Computer Science, Engineering and Information Technology
This work is licensed under a Creative Commons Attribution 4.0 International License.
