For PECARN datasets, please read and agree to the research data use agreement on the PECARN website. Possible data sources: PECARN datasets | Kaggle datasets | MDCalc | UCI | OpenML | MIMIC | UCSF De-ID Potential specific datasets: Maybe later will expand to other high-stakes datasets (...
predicting management decisions also considerably reduces the over-excision rate as compared to management decisions inferred from diagnosis predictions (24.56% fewer cases wrongly predicted to be excised). Furthermore, we show that training a model to also simultaneously predict the seven-point criteria...
Further research can (1) try the combination of this fine-grained algorithm with other supervised learning methods on other text datasets that are larger in number, (2) apply and compare other supervised learning methods that were not used in this study, and (3) add relevant features to provi...
Trained and tested on APTOS and Kaggle datasets, the proposed model achieves impressive accuracies of 98.32% and 98.71%, respectively. The comparative analysis highlights the superior performance of the proposed model in DR diagnosis when compared to state-of-the-art approaches with retinal fundus ...