A hybrid machine learning model combining association rule mining and classification algorithms to predict differentiated thyroid cancer recurrence.

Background: Differentiated thyroid cancer (DTC) is the most prevalent endocrine malignancy with a recurrence rate of about 20%, necessitating better predictive methods for patient management. This study aims to create a relational classification model to predict DTC recurrence by integrating clinical, pathological, and follow-up data.

Methods: The balanced dataset comprises 550 DTC samples collected over 15 years, featuring 13 clinicopathological variables.

Factors Affecting eGFR Slope of Renal Transplant Patients During the First 2 Years.

Purpose: In healthy individuals, glomerular filtration rate decreases by 1 mL/min/y after a peak level of 125.0 mL/min has been reached in adulthood. Any reduction greater than this is a progressive slope (slope more negative than -1 mL/min/y, stable [-1 to +1]), or an improvable slope if it shows more of an increase, that is, greater than +1.