no code implementations • 1 Feb 2024 • Chufan Gao, Nicholas Gisolfi, Artur Dubrawski
Signal quality assessment (SQA) is required for monitoring the reliability of data acquisition systems, especially in AI-driven Predictive Maintenance (PMx) application contexts.
no code implementations • 13 Oct 2023 • Chufan Gao, Xulin Fan, Jimeng Sun, Xuan Wang
Relation extraction aims to classify the relationships between two entities into pre-defined categories.
1 code implementation • 22 Sep 2023 • Hanyin Wang, Chufan Gao, Christopher Dantona, Bryan Hull, Jimeng Sun
In the U. S. inpatient payment system, the Diagnosis-Related Group (DRG) is pivotal, but its assignment process is inefficient.
1 code implementation • 20 May 2023 • Zifeng Wang, Chufan Gao, Cao Xiao, Jimeng Sun
Tabular data prediction has been employed in medical applications such as patient health risk prediction.
no code implementations • 16 Sep 2022 • Zifeng Wang, Chufan Gao, Lucas M. Glass, Jimeng Sun
In silico trials are clinical trials conducted digitally through simulation and modeling as an alternative to traditional clinical trials.
1 code implementation • 24 Jun 2022 • Chufan Gao, Mononito Goswami, Jieshi Chen, Artur Dubrawski
Healthcare providers usually record detailed notes of the clinical care delivered to each patient for clinical, research, and billing purposes.
1 code implementation • 15 Nov 2021 • Saswati Ray, Sana Lakdawala, Mononito Goswami, Chufan Gao
In this work, we propose GLUE (Graph Deviation Network with Local Uncertainty Estimation), building on the recently proposed Graph Deviation Network (GDN).
no code implementations • 29 Sep 2021 • Mononito Goswami, Chufan Gao, Benedikt Boecking, Saswati Ray, Artur Dubrawski
In domains such as clinical research, where data collection and its careful characterization is particularly expensive and tedious, this reliance on pointillisticaly labeled data is one of the biggest roadblocks to the adoption of modern data-hungry ML algorithms.
no code implementations • 24 Aug 2021 • Chufan Gao, Mononito Goswami
Most advanced supervised Machine Learning (ML) models rely on vast amounts of point-by-point labelled training examples.
no code implementations • 12 Nov 2019 • Chufan Gao, Fabian Falck, Mononito Goswami, Anthony Wertz, Michael R. Pinsky, Artur Dubrawski
By analyzing the clusters of latent embeddings and visualizing them over time, we hypothesize that the clusters correspond to the physiological response patterns that match physicians' intuition.