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Classification-augmented survival estimation (CASE): A novel method for individualized long-term survival prediction with application to liver transplantation.
PLoS One
January 2025
Division of Gastroenterology & Hepatology, University of Toronto, Toronto, ON, Canada.
Survival analysis is critical in many fields, particularly in healthcare where it can guide medical decisions. Conventional survival analysis methods like Kaplan-Meier and Cox proportional hazards models to generate survival curves indicating probability of survival v. time have limitations, especially for long-term prediction, due to assumptions that all instances follow a general population-level survival curve.
View Article and Find Full Text PDFOutcomes of Coronary Artery Bypass Grafting (CABG) Patients With and Without a History of Liver Transplant.
Cureus
December 2024
Gastroenterology, Northwell Health, Bay Shore, USA.
Background: Liver transplant (LT) patients face various challenges, including an increased risk of coronary artery disease (CAD) for a variety of reasons, with 70% of LT recipients having one cardiovascular event. Coronary artery bypass grafting (CABG) remains one of the most commonly performed major surgical procedures in the United States, with 20-30% of LT patients requiring a CABG. Many studies have analyzed when to perform a CABG and CAD workup pre-LT, but this population remains a problem.
View Article and Find Full Text PDFNovel efficient reservoir computing methodologies for regular and irregular time series classification.
Nonlinear Dyn
September 2024
Department of Mathematics, University College London, London, UK.
Time series is a data structure prevalent in a wide range of fields such as healthcare, finance and meteorology. It goes without saying that analyzing time series data holds the key to gaining insight into our day-to-day observations. Among the vast spectrum of time series analysis, time series classification offers the unique opportunity to classify the sequences into their respective categories for the sake of automated detection.
View Article and Find Full Text PDFDesign and realization of compressor data abnormality safety monitoring and inducement traceability expert system.
PLoS One
January 2025
Automation School Guangdong University of Petrochemical Technology, Maoming, Guangdong, China.
Centrifugal compressors are widely used in the oil and natural gas industry for gas compression, reinjection, and transportation. Fault diagnosis and identification of centrifugal compressors are crucial. To promptly monitor abnormal changes in compressor data and trace the causes leading to these data anomalies, this paper proposes a security monitoring and root cause tracing method for compressor data anomalies.
View Article and Find Full Text PDFThe effect of healthcare professional-implemented interventions on adherence to oral targeted therapy in patients with cancer: a systematic review and meta-analysis.
Support Care Cancer
January 2025
Centre for Pharmacoepidemiology and Drug Safety, Division of Pharmacy and Optometry, Faculty of Biology, Medicine and Health, School of Health Sciences, Manchester Academic Health Science Centre, University of Manchester, Oxford Road, Manchester, M13 9PT, UK.
Purpose: This study investigated the impact of healthcare professional-led interventions on adherence to oral targeted therapy and identified the behavior change techniques (BCTs) underpinning the interventions.
Methods: A systematic search of MEDLINE, Embase, APA PsycInfo, CINAHL Plus, PubMed, and Web of Science up to July 2024 identified randomized controlled trials and cohort studies involving adult patients (≥ 18 years) with cancer on oral targeted therapy receiving healthcare professional-led interventions to improve adherence. Adherence-related outcomes, including proportions of patients continuing treatments or with a medication possession ratio (MPR) ≥ 90%, were compared between intervention and control (usual care) groups.
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