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

Imputation of Missing Data with Class Imbalance using Conditional Generative Adversarial Networks

no code implementations • 1 Dec 2020 • Saqib Ejaz Awan, Mohammed Bennamoun, Ferdous Sohel, Frank M Sanfilippo, Girish Dwivedi

State-of-the-art imputation approaches, such as Generative Adversarial Imputation Nets (GAIN), model the distribution of observed data to approximate the missing values.

Imputation