A novel approach of understanding prediction models: TRIPOD framework
نویسندگان
چکیده
In recent years, many multivariable prediction models are proposed to deal with clinical uncertainty in both the diagnostic and prognostic settings.1 It is increasing the need to appraise the studies of the models to understand when and how to use.1 We can use PICO framework: Patients, Intervention, Comparator, and Outcome to deal with therapy studies.2 But there is no such formulation for prediction models.
منابع مشابه
A Novel QSAR Model for the Evaluation and Prediction of (E)-N’-Benzylideneisonicotinohydrazide Derivatives as the Potent Anti-mycobacterium Tuberculosis Antibodies Using Genetic Function Approach
Abstract A dataset of (E)-N’-benzylideneisonicotinohydrazide derivatives as a potent anti-mycobacterium tuberculosis has been investigated utilizing Quantitative Structure-Activity Relationship (QSAR) techniques. Genetic Function Algorithm (GFA) and Multiple Linear Regression Analysis (MLRA) were used to select the descriptors and to generate the correlation QSAR models that relate the Mi...
متن کاملApplication of Grey System Theory in Rainfall Estimation
Considering the fact that Iran is situated in an arid and semi-arid region, rainfall prediction for the management of water resources is very important and necessary. Researchers have proposed various prediction methods that have been utilized in such areas as water and meteorology, especially water resources management. The present study aimed at predicting rainfall amounts using Grey Predicti...
متن کاملComparison of Error Tree Analysis and TRIPOD BETA in Accident Analysis of a Power Plant Industry Using Hierarchical Analysis
Introduction: Due to the importance and necessity of accident analysis, it is necessary to use proper technique for precise accident analysis and to provide corrective and preventive measures to prevent recurrence of an accident. Method: In this descriptive-analytical paper, the most important criteria for investigating and selecting accident investigation and analysis techniques and selecting...
متن کاملA Novel Fuzzy Based Method for Heart Rate Variability Prediction
Abstract In this paper, a novel technique based on fuzzy method is presented for chaotic nonlinear time series prediction. Fuzzy approach with the gradient learning algorithm and methods constitutes the main components of this method. This learning process in this method is similar to conventional gradient descent learning process, except that the input patterns and parameters are stored in mem...
متن کاملBernoulli matrix approach for matrix differential models of first-order
The current paper contributes a novel framework for solving a class of linear matrix differential equations. To do so, the operational matrix of the derivative based on the shifted Bernoulli polynomials together with the collocation method are exploited to reduce the main problem to system of linear matrix equations. An error estimation of presented method is provided. Numerical experiments are...
متن کامل