no code implementations • 24 Feb 2024 • Hamed Fayyaz, Abigail Strang, Niharika S. D'Souza, Rahmatollah Beheshti
Our experiments show that the proposed model outperforms other state-of-the-art approaches in sleep apnea detection using various subsets of available data and different levels of noise, and maintains its high performance (AUROC>0. 9) even in the presence of high levels of noise or missingness.
no code implementations • 13 Jul 2023 • Niharika S. D'Souza, Hongzhi Wang, Andrea Giovannini, Antonio Foncubierta-Rodriguez, Kristen L. Beck, Orest Boyko, Tanveer Syeda-Mahmood
With the emergence of multimodal electronic health records, the evidence for an outcome may be captured across multiple modalities ranging from clinical to imaging and genomic data.
no code implementations • 27 Mar 2023 • Niharika S. D'Souza, Archana Venkataraman
Connectomics has emerged as a powerful tool in neuroimaging and has spurred recent advancements in statistical and machine learning methods for connectivity data.
no code implementations • 25 Oct 2022 • Niharika S. D'Souza, Hongzhi Wang, Andrea Giovannini, Antonio Foncubierta-Rodriguez, Kristen L. Beck, Orest Boyko, Tanveer Syeda-Mahmood
All these nuances make simple methods of early, late, or intermediate fusion of features inadequate for outcome prediction.