Medicine Expenditure Prediction via a Variance- Based Generative Adversarial Network

Medicine Expenditure Prediction via a Variance- Based Generative Adversarial Network

Machine learning (ML) offers a wide range of techniques to predict medicine expenditures using historical expenditures data as well as other healthcare variables. For example, researchers have developed multilayer perceptron (MLP), long short-term memory (LSTM), and convolutional neural network (CNN...

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Bibliographic Details
Main Authors: Shruti Kaushik, Abhinav Choudhury, Sayee Natarajan, Larry A. Pickett, Varun Dutt
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Generative adversarial network
long short-term memory
medicine expenditures
multilayer perceptron
regression
time-series prediction
Online Access:https://ieeexplore.ieee.org/document/9116991/

Internet

https://ieeexplore.ieee.org/document/9116991/

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