Predictive analytics of complex healthcare systems using deep learning based disease diagnosis model
This article introduces the PACHS-DLBDDM methodology. The proposed methodology focuses mainly on the recognition and classification of LCC. It comprises GF, Faster SqueezeNet, CNN-LSTM, and CTSA techniques for preprocessing, feature vector generation, classification, and hyperparameter tuning processes. Figure 1 depicts the entire flow of the PACHS-DLBDDM technique. Fig. 1 Overall flow of PACHS-DLBDDM methodology. Image preprocessing […]
