Multitask Deep Learning for Accurate Risk Stratification and Prediction of Next Steps for Coronary CT Angiography Patients

no code implementations • 1 Sep 2023 • Juan lu, Mohammed Bennamoun, Jonathon Stewart, JasonK. Eshraghian, Yanbin Liu, Benjamin Chow, Frank M. Sanfilippo, Girish Dwivedi

Diagnostic investigation has an important role in risk stratification and clinical decision making of patients with suspected and documented Coronary Artery Disease (CAD).

Decision Making Multi-Task Learning

Performance of multilabel machine learning models and risk stratification schemas for predicting stroke and bleeding risk in patients with non-valvular atrial fibrillation

no code implementations • 2 Feb 2022 • Juan lu, Rebecca Hutchens, Joseph Hung, Mohammed Bennamoun, Brendan McQuillan, Tom Briffa, Ferdous Sohel, Kevin Murray, Jonathon Stewart, Benjamin Chow, Frank Sanfilippo, Girish Dwivedi

Conclusions Multilabel ML models can outperform clinical risk stratification scores for predicting the risk of major bleeding and death in non-valvular AF patients.

Decision Making

Explainable Artificial Intelligence for Pharmacovigilance: What Features Are Important When Predicting Adverse Outcomes?

no code implementations • 25 Dec 2021 • Isaac Ronald Ward, Ling Wang, Juan lu, Mohammed Bennamoun, Girish Dwivedi, Frank M Sanfilippo

Using XAI, we quantified the contribution that specific drugs had on these ACS predictions, thus creating an XAI-based technique for pharmacovigilance monitoring, using ACS as an example of the adverse outcome to detect.

Explainable artificial intelligence Explainable Artificial Intelligence (XAI) +1