Deep Representation Learning-Based Dynamic Trajectory Phenotyping for Acute Respiratory Failure in Medical Intensive Care Units

no code implementations • 4 May 2024 • Alan Wu, Tilendra Choudhary, Pulakesh Upadhyaya, Ayman Ali, Philip Yang, Rishikesan Kamaleswaran

The study demonstrates the utility of our deep representation learning-based approach in unraveling phenotypes that reflect the heterogeneity in sepsis-induced ARF in terms of different mortality outcomes and severity.

Dynamic Time Warping Representation Learning +1

Robust Meta-Model for Predicting the Need for Blood Transfusion in Non-traumatic ICU Patients

no code implementations • 1 Jan 2024 • Alireza Rafiei, Ronald Moore, Tilendra Choudhary, Curtis Marshall, Geoffrey Smith, John D. Roback, Ravi M. Patel, Cassandra D. Josephson, Rishikesan Kamaleswaran

This study aims to develop an advanced machine learning-based model to predict the probability of transfusion necessity over the next 24 hours for a diverse range of non-traumatic ICU patients.

Accelerometric Method for Cuffless Continuous Blood Pressure Measurement

no code implementations • 18 Aug 2020 • Mousumi Das, Tilendra Choudhary, L. N. Sharma, M. K. Bhuyan

Also, the computed blood pressure is compared with the original one, measured through a CNAP system.

Design of Breathing-states Detector for m-Health Platform using Seismocardiographic Signal

no code implementations • 24 Feb 2020 • Tilendra Choudhary, L. N. Sharma, M. K. Bhuyan, Kangkana Bora

In this work, a seismocardiogram (SCG) based breathing-state measuring method is proposed for m-health applications.