The use of data from the real world to address clinical and policy-relevant questions that
cannot be answered using data from clinical trials is garnering increased interest. Indeed …

Many high quality studies have emerged from public databases, such as Surveillance,
Epidemiology, and End Results (SEER), National Health and Nutrition Examination Survey …

Malignant bone tumors are a group of rare malignant tumors and our study aimed to update
the recent epidemiologic estimates based on the Surveillance, Epidemiology and End …

Understanding published unstructured textual data using traditional text mining approaches
and tools is becoming a challenging issue due to the rapid increase in electronic open …

Background Increasingly, patient medication adherence data are being consolidated from
claims databases and electronic health records (EHRs). Such databases offer an indirect …

Ovarian cancer is a malignant disease that affects thousands of patients every year.
Currently, we use surgical techniques for early-stage cancer and chemotherapy treatment …

Background Accurate prognosis assessment is essential for surgically resected intrahepatic
cholangiocarcinoma (ICC) while published prognostic tools are limited by modest …

Background. Lung metastasis greatly affects medical therapeutic strategies in
osteosarcoma. This study aimed to develop and validate a clinical prediction model to …

Objective This study aimed to develop and validate a machine learning model for predicting
bone metastases (BM) in prostate cancer (PCa) patients. Methods Demographic and …

Introduction: Large tumor size is associated with poorer outcomes in well-differentiated
thyroid cancer, yet it remains unclear whether size> 4 cm alone confers increased risk …