Search Results for author: Siddharth Biswal

Found 10 papers, 1 papers with code

Automated Respiratory Event Detection Using Deep Neural Networks

no code implementations12 Jan 2021 Thijs E Nassi, Wolfgang Ganglberger, Haoqi Sun, Abigail A Bucklin, Siddharth Biswal, Michel J A M van Putten, Robert J Thomas, M Brandon Westover

Using 9, 656 polysomnography recordings from the Massachusetts General Hospital (MGH), we trained a neural network (WaveNet) based on a single respiratory effort belt to detect obstructive apnea, central apnea, hypopnea and respiratory-effort related arousals.

Event Detection

EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders

no code implementations18 Dec 2020 Siddharth Biswal, Soumya Ghosh, Jon Duke, Bradley Malin, Walter Stewart, Jimeng Sun

De-identified EHRs do not adequately address the needs of health systems, as de-identified data are susceptible to re-identification and its volume is also limited.

Variational Inference

EMIXER: End-to-end Multimodal X-ray Generation via Self-supervision

no code implementations10 Jul 2020 Siddharth Biswal, Peiye Zhuang, Ayis Pyrros, Nasir Siddiqui, Sanmi Koyejo, Jimeng Sun

EMIXER is an conditional generative adversarial model by 1) generating an image based on a label, 2) encoding the image to a hidden embedding, 3) producing the corresponding text via a hierarchical decoder from the image embedding, and 4) a joint discriminator for assessing both the image and the corresponding text.

Data Augmentation Image Classification

CLARA: Clinical Report Auto-completion

no code implementations26 Feb 2020 Siddharth Biswal, Cao Xiao, Lucas M. Glass, M. Brandon Westover, Jimeng Sun

Most existing methods try to generate the whole reports from the raw input with limited success because 1) generated reports often contain errors that need manual review and correction, 2) it does not save time when doctors want to write additional information into the report, and 3) the generated reports are not customized based on individual doctors' preference.

EEG

CONAN: Complementary Pattern Augmentation for Rare Disease Detection

no code implementations26 Nov 2019 Limeng Cui, Siddharth Biswal, Lucas M. Glass, Greg Lever, Jimeng Sun, Cao Xiao

How to further leverage patients with possibly uncertain diagnosis to improve detection?

Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment

no code implementations23 Nov 2019 Siddharth Biswal, Cao Xiao, Lucas M. Glass, Elizabeth Milkovits, Jimeng Sun

We propose doctor2vec which simultaneously learns 1) doctor representations from EHR data and 2) trial representations from the description and categorical information about the trials.

Clinical Knowledge Representation Learning

RAIM: Recurrent Attentive and Intensive Model of Multimodal Patient Monitoring Data

no code implementations23 Jul 2018 Yanbo Xu, Siddharth Biswal, Shriprasad R Deshpande, Kevin O Maher, Jimeng Sun

With the improvement of medical data capturing, vast amount of continuous patient monitoring data, e. g., electrocardiogram (ECG), real-time vital signs and medications, become available for clinical decision support at intensive care units (ICUs).

Decompensation

HAMLET: Interpretable Human And Machine co-LEarning Technique

no code implementations26 Mar 2018 Olivier Deiss, Siddharth Biswal, Jing Jin, Haoqi Sun, M. Brandon Westover, Jimeng Sun

Although cEEG monitoring yields large volumes of data, labeling costs and difficulty make it hard to build a classifier.

General Classification

SLEEPNET: Automated Sleep Staging System via Deep Learning

no code implementations26 Jul 2017 Siddharth Biswal, Joshua Kulas, Haoqi Sun, Balaji Goparaju, M. Brandon Westover, Matt T. Bianchi, Jimeng Sun

Sleep disorders, such as sleep apnea, parasomnias, and hypersomnia, affect 50-70 million adults in the United States (Hillman et al., 2006).

EEG Sleep Staging

Generating Multi-label Discrete Patient Records using Generative Adversarial Networks

3 code implementations19 Mar 2017 Edward Choi, Siddharth Biswal, Bradley Malin, Jon Duke, Walter F. Stewart, Jimeng Sun

Access to electronic health record (EHR) data has motivated computational advances in medical research.

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