Can CAD be predicted 1 year before diagnosis?

Lastly, Justin Jee conflates the method of our previous study predicting 1-year risk for CAD with that of the current study, which does not predict 1-year risk for CAD nor restrict to 1 year before diagnosis. As stated in the Methods, the model analysed electronic health record data up until CAD diagnosis, procedure, or medication in cases.

Can human expertise improve the diagnosis of CAD?

The results of this study demonstrate the potential for this approach to improve the diagnosis of CAD and highlight the importance of considering the role of human expertise in the development of computer-aided classification models.

How is a prediction model based on machine learning?

The prediction model was established by the four aforementioned machine learning algorithms and the predictive capability was evaluated by the area under the receiver operating characteristic curve (ROC) and the precision-recall curve, using precrec package.

Can machine learning classification models be used to diagnose CAD?

This work aims to introduce a new tool based on Machine Learning (ML) classification models meant to be used in a consultative manner by experts in the process of diagnosis. Single Photon Emission Computed Tomography (SPECT) and Positron Emission Tomography (PET) are the main tools used for the visual assessment of CAD.