Publications

All intraoperative hypotension is not created equal - A call for an individualized approach.

Khanna AK, Zarbock A, Legrand M
Personalized online ensemble machine learning with applications for dynamic data streams.

Malenica I, Phillips RV, Chambaz A, Hubbard AE, Pirracchio R, van der Laan MJ
Database-based machine learning in sepsis deserves attention. Author's reply.

Kalimouttou A, Pirracchio R
Intraoperative Use of Albumin in Major Noncardiac Surgery: Incidence, Variability, and Association With Outcomes.

Lazzareschi DV, Fong N, Mavrothalassitis O, Whitlock EL, Chen CL, Chiu C, Adelmann D, Bokoch MP, Chen LL, Liu KD, Pirracchio R, Mathis MR, Legrand M, MPOG Collaborators
Persisting high rates of omissions during anesthesia induction are decreased by utilization of a pre- & post-induction checklist.

Krombach JW, Zürcher C, Simon SG, Saxena S, Pirracchio R
Building a better machine learning model of extubation for neurocritical care patients. Author's reply.

Pirracchio R, Asehnoune K, Cinotti R
Comprehensive analysis of coagulation factor delivery strategies in a cohort of trauma patients.

Roquet F, Godier A, Garrigue-Huet D, Hanouz JL, Vardon-Bounes F, Legros V, Pirracchio R, Ausset S, Duranteau J, Vigué B, Hamada SR, Traumabase® group
Machine-learning-derived sepsis bundle of care.

Kalimouttou A, Lerner I, Cheurfa C, Jannot AS, Pirracchio R
Gender-based time discrepancy in diagnosis of coronary artery disease based on data analytics of electronic medical records.

Panahiazar M, Bishara AM, Chern Y, Alizadehsani R, Islam SMS, Hadley D, Arnaout R, Beygui RE
Letter to the editor: "Characterising acute kidney injury: The complementary roles of biomarkers of renal stress and renal function".

Legrand M, Gayat E