A multi-cohort study on prediction of acute brain dysfunction states using selective state space models

no code implementations • 11 Mar 2024 • Brandon Silva, Miguel Contreras, Sabyasachi Bandyopadhyay, Yuanfang Ren, Ziyuan Guan, Jeremy Balch, Kia Khezeli, Tezcan Ozrazgat Baslanti, Ben Shickel, Azra Bihorac, Parisa Rashidi

Our research fills these gaps in the existing literature by dynamically predicting delirium, coma, and mortality for 12-hour intervals throughout an ICU stay and validating on two public datasets.

APRICOT-Mamba: Acuity Prediction in Intensive Care Unit (ICU): Development and Validation of a Stability, Transitions, and Life-Sustaining Therapies Prediction Model

no code implementations • 3 Nov 2023 • Miguel Contreras, Brandon Silva, Benjamin Shickel, Tezcan Ozrazgat-Baslanti, Yuanfang Ren, Ziyuan Guan, Jeremy Balch, Jiaqing Zhang, Sabyasachi Bandyopadhyay, Kia Khezeli, Azra Bihorac, Parisa Rashidi

The acuity state of patients in the intensive care unit (ICU) can quickly change from stable to unstable.

Mortality Prediction

Transformers in Healthcare: A Survey

no code implementations • 30 Jun 2023 • Subhash Nerella, Sabyasachi Bandyopadhyay, Jiaqing Zhang, Miguel Contreras, Scott Siegel, Aysegul Bumin, Brandon Silva, Jessica Sena, Benjamin Shickel, Azra Bihorac, Kia Khezeli, Parisa Rashidi

With Artificial Intelligence (AI) increasingly permeating various aspects of society, including healthcare, the adoption of the Transformers neural network architecture is rapidly changing many applications.

Fairness

Transformer Models for Acute Brain Dysfunction Prediction

no code implementations • 13 Mar 2023 • Brandon Silva, Miguel Contreras, Tezcan Ozrazgat Baslanti, Yuanfang Ren, Guan Ziyuan, Kia Khezeli, Azra Bihorac, Parisa Rashidi

In this work, we develop a machine learning system for real-time prediction of ADB using Electronic Health Record (HER) data.

Binary Classification Multi-class Classification