First People’s Hospital Reports Findings in Respiratory Tract Diseases and Conditions (Prediction and Diagnosis of Respiratory Disease by Combining Convolutional Neural Network and Bi-directional Long Short-Term Memory Methods)

摘要

By a News Reporter-Staff News Editor at Network Daily News - New research on Respiratory Tract Diseases and Conditions is the subject of a report. According to news originating from Kashi, People’s Republic of China, by NewsRx correspondents, research stated, “Based on the respiratory disease big data platform in southern Xinjiang, we established a model that predicted and diagnosed chronic obstructive pulmonary disease, bronchiectasis, pulmonary embolism and pulmonary tuberculosis, and provided assistance for primary physicians. The method combined convolutional neural network (CNN) and long-short-term memory network (LSTM) for prediction and diagnosis of respiratory diseases.”