Publications by authors named "Mahla Tabadkani"
Breast cancer prediction using different machine learning methods applying multi factors.
J Cancer Res Clin Oncol
December 2023
Objective: Breast cancer (BC) is a multifactorial disease and is one of the most common cancers globally. This study aimed to compare different machine learning (ML) techniques to develop a comprehensive breast cancer risk prediction model based on features of various factors.
Methods: The population sample contained 810 records (115 cancer patients and 695 healthy individuals).
Article Synopsis
- HDL (high-density lipoprotein) is linked to lower cardiovascular disease (CVD) risk, but its dysfunction (HDLox) may increase that risk, particularly in relation to HTLV1 infection.
- A study involving 162 participants found that while traditional CVD risk factors didn't correlate with HTLV1 infection, HDLox levels were significantly higher in those infected.
- The research indicated that people with HTLV1 infection had about a 20% increase in HDLox, suggesting HDLox could serve as a marker for CVD risk in infected individuals.
Breast cancer is a major cause of death globally, and particularly in developed countries. Breast cancer is influenced by cholesterol membrane content, by affecting the signaling pathways modulating cell growth, adherence, and migration. Furthermore, steroid hormones are derived from cholesterol and these play a key role in the pathogenesis of breast cancer.
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