New Data from Islamic Azad University Illuminate Research in Breast Cancer Screening (Automatic Classification of BI-RADS in Mammography Reports Using Data Fusion).

Předmět:	MEDICAL screening EARLY detection of cancer PYTHON programming language REPORTERS & reporting DIAGNOSIS
Zdroj:	Women's Health Weekly; 8/23/2024, p664-664, 1p
Abstrakt:	A recent study conducted at Islamic Azad University aimed to determine the automatic classification of BI-RADS in mammography reports using data fusion. The study collected mammography reports and electronic records from 250 patients and used Python software to model the proposed method. The results showed that combining Word2vec with TFIDF improved the accuracy of text classification, and the use of the hospital information system (HIS) along with medical text reports further improved BI-RADS classification. The researchers concluded that while medical reports are important, considering patients' medical history can enhance the accuracy of diagnosis and treatment processes. [Extracted from the article]
Databáze:	Complementary Index
Externí odkaz:	Zobrazit plný text záznamu