Breast cancer prediction with transcriptome profiling using feature selection and machine learning methods
Background We used a hybrid machine learning systems (HMLS) strategy that includes the
extensive search for the discovery of the most optimal HMLSs, including feature selection …
extensive search for the discovery of the most optimal HMLSs, including feature selection …
Diagnostic efficacy of technetium-99m-sestamibi scintimammography in comparison with mammography to detect breast lesions: a systematic review
S Heydarheydari, SM Rezaeijo… - Archives of Breast …, 2018 - archbreastcancer.com
Background: To systematically review the performance of scintimammo-graphy compared
with mammography in detecting breast lesions. Methods: A literature search was performed …
with mammography in detecting breast lesions. Methods: A literature search was performed …
Thyroid function following radiation therapy in breast cancer patients: risk of radiation-induced hypothyroidism
N Farshchian, N Amirifard, MHS Azar… - reports of practical …, 2022 - journals.viamedica.pl
Background: Radiation exposure to the thyroid gland seems unavoidable in breast cancer
(BC) patients receiving radiation therapy (RT) to the supraclavicular (SC) region. Hence, this …
(BC) patients receiving radiation therapy (RT) to the supraclavicular (SC) region. Hence, this …
Relationship Between Serum 25-Hydroxy Vitamin D Level and Breast Cancer Prognostic Factors
N Farshchian, M Rashidi, S Heydarheydari… - Acta Medica …, 2022 - acta.tums.ac.ir
Vitamin D deficiency plays an important role in the development of various diseases,
including cancer. Regarding the high prevalence of breast cancer and vitamin D deficiency …
including cancer. Regarding the high prevalence of breast cancer and vitamin D deficiency …