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researcher

T. Ozrazgat-Baslanti

34 papers hereh-index 344.2k citations168 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author25
  • last author5

Across the 31 of 34 papers where every author was matched, so the position is known.

fields
  • cs.LG12
  • cs.HC5
  • cs.CY4
  • q-bio.QM4
  • stat.AP4
  • cs.AI3

identity via Semantic Scholar / OpenAlex

activity
20172026
most citedDeepSOFA: A Continuous Acuity Score for Critically Ill Patients using Clinically Interpretable Deep Learning

152 citations · 440 across the 32 of their papers we have counts for

collaborators
Showing cs.AIShow all

3 papers · 1 filter

cs.AI2025★ 1 cited

MANDARIN: Mixture-of-Experts Framework for Dynamic Delirium and Coma Prediction in ICU Patients: Development and Validation of an Acute Brain Dysfunction Prediction Model

Miguel Contreras, Jessica Sena, Andrea Davidson +9

Acute brain dysfunction (ABD) is a common, severe ICU complication, presenting as delirium or coma and leading to prolonged stays, increased mortality, and cognitive decline. Tradi…

cs.AI2024★ 2 cited

DeLLiriuM: A large language model for delirium prediction in the ICU using structured EHR

Miguel Contreras, Sumit Kapoor, Jiaqing Zhang +7

Delirium is an acute confusional state that has been shown to affect up to 31% of patients in the intensive care unit (ICU). Early detection of this condition could lead to more ti…

cs.AI2023

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

Miguel Contreras, Brandon Silva, Benjamin Shickel +9

The acuity state of patients in the intensive care unit (ICU) can quickly change from stable to unstable. Early detection of deteriorating conditions can result in providing timely…

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