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| http://dx.doi.org/10.1186/1297-9686-16-4-431 | DOI Listing |
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Machine Learning-Based Real-Time Survival Prediction for Gastric Neuroendocrine Carcinoma.
Ann Surg Oncol
January 2025
Department of Gastrointestinal Surgery, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Background: This study aimed to develop a dynamic survival prediction model utilizing conditional survival (CS) analysis and machine learning techniques for gastric neuroendocrine carcinomas (GNECs).
Patients And Methods: Data from the Surveillance, Epidemiology, and End Results (SEER) database (2004-2015) were analyzed and split into training and validation groups (7:3 ratio). CS profiles for patients with GNEC were examined in the full cohort.
Unsupervised data imputation with multiple importance sampling variational autoencoders.
Sci Rep
January 2025
School of Mathematics and Statistics, Shaoguan University, Shaoguan, 512005, China.
Recently, deep latent variable models have made significant progress in dealing with missing data problems, benefiting from their ability to capture intricate and non-linear relationships within the data. In this work, we further investigate the potential of Variational Autoencoders (VAEs) in addressing the uncertainty associated with missing data via a multiple importance sampling strategy. We propose a Missing data Multiple Importance Sampling Variational Auto-Encoder (MMISVAE) method to effectively model incomplete data.
View Article and Find Full Text PDFImproving the Effectiveness of Sample Size Re-Estimation: An Operating Characteristic Focused, Hybrid Frequentist-Bayesian Approach.
Stat Med
February 2025
Biostatistics, Innovatio Statistics Inc., Bridgewater, New Jersey, USA.
Sample size re-estimation (SSR) is perhaps the most used adaptive procedure in both frequentist and Bayesian adaptive designs for clinical trials. The primary focus of all current frequentist and Bayesian SSR procedures is type I error control. We propose a hybrid frequentist-Bayesian SSR approach that focuses on optimizing operating characteristics (OC), which uses simulations to investigate the associated OC and adjusts accordingly.
View Article and Find Full Text PDFAGA Clinical Practice Guideline on the Prevention and Treatment of Hepatitis B Virus Reactivation in At-Risk Individuals.
Gastroenterology
February 2025
Section of Gastroenterology and Hepatology, Veterans Affairs Northeast Ohio Health Care System, Cleveland, Ohio; Division of Gastroenterology and Hepatology, Case Western Reserve University, Cleveland, Ohio.
Background & Aims: Hepatitis B reactivation (HBVr) can occur due to a variety of immune-modulating exposures, including multiple drug classes and disease states. Antiviral prophylaxis can be effective in mitigating the risk of HBVr. In select cases, clinical monitoring without antiviral prophylaxis is sufficient for managing the risk of HBVr.
View Article and Find Full Text PDFCumulative Exposure to Unconventional Natural Gas Development and the Risk of Childhood Cancer: A Registry-Based Case-Control Study.
Int J Environ Res Public Health
January 2025
Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA.
The rapid growth of unconventional natural gas development (UNGD), also known as hydraulic fracturing, has raised concerns of potential exposures to hazardous chemicals. Few studies have examined the risk of childhood cancer from exposure to UNGD. A case-control study included 498 children diagnosed with leukemia, lymphoma, central nervous system neoplasms, and malignant bone tumors during the period 2010-2019 identified through the Pennsylvania Cancer Registry.
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