Search Results for author: Siyi Tang

Found 9 papers, 5 papers with code

Towards trustworthy seizure onset detection using workflow notes

1 code implementation14 Jun 2023 Khaled Saab, Siyi Tang, Mohamed Taha, Christopher Lee-Messer, Christopher Ré, Daniel Rubin

We find that our multilabel model significantly improves overall seizure onset detection performance (+5. 9 AUROC points) while greatly improving performance among subgroups (up to +8. 3 AUROC points), and decreases false positives on non-epileptiform abnormalities by 8 FPR points.

EEG

Multimodal spatiotemporal graph neural networks for improved prediction of 30-day all-cause hospital readmission

1 code implementation14 Apr 2022 Siyi Tang, Amara Tariq, Jared Dunnmon, Umesh Sharma, Praneetha Elugunti, Daniel Rubin, Bhavik N. Patel, Imon Banerjee

Measures to predict 30-day readmission are considered an important quality factor for hospitals as accurate predictions can reduce the overall cost of care by identifying high risk patients before they are discharged.

Graph Neural Network Readmission Prediction

Semi-Supervised Learning for Sparsely-Labeled Sequential Data: Application to Healthcare Video Processing

1 code implementation28 Nov 2020 Florian Dubost, Erin Hong, Nandita Bhaskhar, Siyi Tang, Daniel Rubin, Christopher Lee-Messer

We propose a semi-supervised machine learning training strategy to improve event detection performance on sequential data, such as video recordings, when only sparse labels are available, such as event start times without their corresponding end times.

BIG-bench Machine Learning Electroencephalogram (EEG) +2

Data Valuation for Medical Imaging Using Shapley Value: Application on A Large-scale Chest X-ray Dataset

no code implementations15 Oct 2020 Siyi Tang, Amirata Ghorbani, Rikiya Yamashita, Sameer Rehman, Jared A. Dunnmon, James Zou, Daniel L. Rubin

In this study, we used data Shapley, a data valuation metric, to quantify the value of training data to the performance of a pneumonia detection algorithm in a large chest X-ray dataset.

Data Valuation Pneumonia Detection

Spatiotemporal Feature Learning for Event-Based Vision

no code implementations16 Mar 2019 Rohan Ghosh, Anupam Gupta, Siyi Tang, Alcimar Soares, Nitish Thakor

Unlike conventional frame-based sensors, event-based visual sensors output information through spikes at a high temporal resolution.

Event-based vision Object Recognition +3

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