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Bronchopneumonia

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A long short-term memory-fully connected (LSTM-FC) neural network for predicting the incidence of bronchopneumonia in children.

Environmental science and pollution research international 34076817
Bronchopneumonia is the most common infectious disease in children, and it seriously endangers children's health. In this paper, a deep neural network combining long short-term memory (LSTM) layers and fully connected layers was proposed to predict t...
Bronchopneumonia Child Forecasting Humans Incidence Neural Networks, Computer Support Vector Machine
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Prediction of Bronchopneumonia Inpatients' Total Hospitalization Expenses Based on BP Neural Network and Support Vector Machine Models.

Computational and mathematical methods in medicine 35633928
OBJECTIVE: BP neural network (BPNN) model and support vector machine (SVM) model were used to predict the total hospitalization expenses of patients with bronchopneumonia.
Bronchopneumonia Hospitalization Humans Inpatients Neural Networks, Computer Support Vector Machine
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