Analysis and Evaluation of Explainable Artificial Intelligence on Suicide Risk Assessment

no code implementations • 9 Mar 2023 • Hao Tang, Aref Miri Rekavandi, Dharjinder Rooprai, Girish Dwivedi, Frank Sanfilippo, Farid Boussaid, Mohammed Bennamoun

This study investigates the effectiveness of Explainable Artificial Intelligence (XAI) techniques in predicting suicide risks and identifying the dominant causes for such behaviours.

Data Augmentation Decision Making +2

Inflating 2D Convolution Weights for Efficient Generation of 3D Medical Images

no code implementations • 8 Aug 2022 • Yanbin Liu, Girish Dwivedi, Farid Boussaid, Frank Sanfilippo, Makoto Yamada, Mohammed Bennamoun

Novel 3D network architectures are proposed for both the generator and discriminator of the GAN model to significantly reduce the number of parameters while maintaining the quality of image generation.

Image Generation Medical Image Generation

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