Prediction of hospital no-show appointments through artificial intelligence algorithms
نویسندگان
چکیده
منابع مشابه
A probabilistic model for predicting the probability of no-show in hospital appointments.
The number of no-shows has a significant impact on the revenue, cost and resource utilization for almost all healthcare systems. In this study we develop a hybrid probabilistic model based on logistic regression and empirical Bayesian inference to predict the probability of no-shows in real time using both general patient social and demographic information and individual clinical appointments a...
متن کاملBayesian Prediction for Artificial Intelligence
This paper shows that the common method used for making predictions under uncertainty in AI and science is in error. This method is to use currently available data to select the best model from a given class of models-this process is called abduction-and then to use this model to make predictions about future data. The correct method requires averaging over all the models to make a prediction-w...
متن کاملPrediction and optimization of load and torque in ring rolling process through development of artificial neural network and evolutionary algorithms
Developing artificial neural network (ANN), a model to make a correct prediction of required force and torque in ring rolling process is developed for the first time. Moreover, an optimal state of process for specific range of input parameters is obtained using Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) methods. Radii of main roll and mandrel, rotational speed of main roll, pr...
متن کاملcomputational analysis of optimisation algorithms with artificial intelligence
artificial intelligence is a way of making a computer behave 'intelligently'. this can be accomplished by: studying how people think when they are trying to make decisions and solve problems; breaking those thought processes down into basic steps, and finally designing a computer program that solves problems using those same steps. ai thereby provides a simple, structured approach to designi...
متن کاملArtificial-intelligence-based hospital-acquired infection control.
Nosocomial or hospital-acquired infections (NIs) are a frequent complication in hospitalized patients. The growing availability of computerized patient records in hospitals permits automated identification and extended monitoring for signs of NIs. A fuzzy- and knowledge-based system to identify and monitor NIs at intensive care units (ICUs) according to the European Surveillance System HELICS (...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Annals of Saudi Medicine
سال: 2019
ISSN: 0256-4947,0975-4466
DOI: 10.5144/0256-4947.2019.373