Fig. 1: Our input module uses the raw Time–Volume curve time series collected from hospitals and patient demographic data, which are then passed into our AI-based model module. | npj Systems Biology and Applications

Fig. 1: Our input module uses the raw Time–Volume curve time series collected from hospitals and patient demographic data, which are then passed into our AI-based model module.

From: Deep learning for detecting and early predicting chronic obstructive pulmonary disease from spirogram time series

Fig. 1

The AI-based model module is divided into four tasks (see the section “Overview” for details). After processing through the AI-based model module, the output data is handled by the output module. If the AI-based model diagnoses the individual as a COPD patient, we will output their diagnosis results and the interpretability figure of the model. If the AI-based model diagnoses the individual as a non-COPD patient, we will output their risk of developing COPD over the next 1-5 years.

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