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.
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.
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.
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.