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Project NLP: Building a Benchmark Dataset for Extracting Drug Prescription from Clinical Notes

Room 129 / LERNER Team : Ivan Lerner, Julien Tourille, Arnaud Serret-Larmande, Sanjay Kamath, Nguyen Dinh-Phong, Charlotte Rudnik, Camille Petri. Extracting information from clinical notes, such as “”Patient 001 took medication B last night”” to structured data Patient 001 | drug_B | 8/12/2010 is a non-trivial task for NLP. Automatic extraction of drug prescription from […]

Outcome assessment of patients with septic stock admitted to critical care unit according to received treatment (antibiotics, fluid intake…)

Room 130 / Team : Cherifa Cheurfa, Abdellah Hedjoudje, Doron Shaked, Omer Barkol, Aris Tritas

Sepsis cohort clustering

Room 130 / Sepsis Team : Jerome Lambert, Matthieu Legrand, Marcello Rambaldi, Martin Bompaire, Philip Deegan, Prosper Burq, Youcef Sebiat, Cristian Perez, Pouya Yousefi, Nick Halmagyi, Simon Berda, Christian de Tymowski, Thierry Bartel. Sepsis is a serious syndrome, characterized by organ dysfunction triggered by infection. It can be life-threatening, or it can affect permanently survivors’ […]

Project NLP: Building a Benchmark Dataset for Extracting Drug Prescription from Clinical Notes

Catégorie | Non classé

Project NLP: Building a Benchmark Dataset for Extracting Drug Prescription from Clinical Notes

Outcome assessment of patients with septic stock admitted to critical care unit according to received treatment (antibiotics, fluid intake…)

Sepsis cohort clustering

Adverse Events and Complications Related to Care in ICU

Correct prediction of mortality within 24 hours every hour after admission

Antibiotic use and timing of MDR identification

Score de gravité et évolution du traumatisme crânien grave à partir de plusieurs paramètres vitaux (ICEBERG project)

Evolution of Mechanical Ventilation technics over years