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Using the Weibull Accelerated Failure Time Regression Model to Predict Time to Health Events

التفاصيل البيبلوغرافية
العنوان: Using the Weibull Accelerated Failure Time Regression Model to Predict Time to Health Events
المؤلفون: Enwu Liu, Ryan Yan Liu, Karen Lim
المصدر: Applied Sciences, Vol 13, Iss 24, p 13041 (2023)
بيانات النشر: MDPI AG, 2023.
سنة النشر: 2023
المجموعة: LCC:Technology
LCC:Engineering (General). Civil engineering (General)
LCC:Biology (General)
LCC:Physics
LCC:Chemistry
مصطلحات موضوعية: Weibull regression, prediction, survival time, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
الوصف: Clinical prediction models are commonly utilized in clinical practice to screen high-risk patients. This enables healthcare professionals to initiate interventions aimed at delaying or preventing adverse medical events. Nevertheless, the majority of these models focus on calculating probabilities or risk scores for medical events. This information can pose challenges for patients to comprehend, potentially causing delays in their treatment decision-making process. Our paper presents a statistical methodology and protocol for the utilization of a Weibull accelerated failure time (AFT) model in predicting the time until a health-related event occurs. While this prediction technique is widely employed in engineering reliability studies, it is rarely applied to medical predictions, particularly in the context of predicting survival time. Furthermore, we offer a practical demonstration of the implementation of this prediction method using a publicly available dataset.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2076-3417
Relation: https://www.mdpi.com/2076-3417/13/24/13041; https://doaj.org/toc/2076-3417
DOI: 10.3390/app132413041
URL الوصول: https://doaj.org/article/1a25702fdac24a638e7f2b254c4c361b
رقم الأكسشن: edsdoj.1a25702fdac24a638e7f2b254c4c361b
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20763417
DOI:10.3390/app132413041