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Agni Orfanoudaki
Agni Orfanoudaki
Associate Professor of Operations Management, University of Oxford
Verified email at sbs.ox.ac.uk - Homepage
Title
Cited by
Cited by
Year
COVID-19 mortality risk assessment: An international multi-center study
D Bertsimas, G Lukin, L Mingardi, O Nohadani, A Orfanoudaki, B Stellato, ...
PloS one 15 (12), e0243262, 2020
2092020
Interpretable clustering: an optimization approach
D Bertsimas, A Orfanoudaki, H Wiberg
Machine Learning 110 (1), 89-138, 2021
114*2021
From predictions to prescriptions: A data-driven response to COVID-19
D Bertsimas, L Boussioux, R Cory-Wright, A Delarue, V Digalakis, ...
Health care management science 24, 253-272, 2021
912021
Machine learning and natural language processing methods to identify ischemic stroke, acuity and location from radiology reports
CJ Ong, A Orfanoudaki, R Zhang, FPM Caprasse, M Hutch, L Ma, D Fard, ...
PloS one 15 (6), e0234908, 2020
692020
Personalized treatment for coronary artery disease patients: a machine learning approach
D Bertsimas, A Orfanoudaki, RB Weiner
Health Care Management Science 23 (4), 482-506, 2020
412020
Machine learning provides evidence that stroke risk is not linear: The non-linear Framingham stroke risk score
A Orfanoudaki, E Chesley, C Cadisch, B Stein, A Nouh, MJ Alberts, ...
PloS one 15 (5), e0232414, 2020
402020
Imputation of clinical covariates in time series
D Bertsimas, A Orfanoudaki, C Pawlowski
Machine Learning 110 (1), 185-248, 2021
292021
Optimal survival trees
D Bertsimas, J Dunn, E Gibson, A Orfanoudaki
Machine learning 111 (8), 2951-3023, 2022
272022
Machine learning models for mitral valve replacement: A comparative analysis with the Society of Thoracic Surgeons risk score
A Orfanoudaki, A Giannoutsou, S Hashim, D Bertsimas, RC Hagberg
Journal of Cardiac Surgery 37 (1), 18-28, 2022
112022
Personalized prescription of ACEI/ARBs for hypertensive COVID-19 patients
D Bertsimas, A Borenstein, L Mingardi, O Nohadani, A Orfanoudaki, ...
Health Care Management Science 24, 339-355, 2021
102021
An aggregated dataset of clinical outcomes for covid-19 patients
D Bertsimas, H Bandi, L Boussioux, R Cory-Wright, A Delarue, ...
URL http://www. covidanalytics. io/datasetdocumentation, 2020
102020
Natural language processing of radiology reports to detect complications of ischemic stroke
MI Miller, A Orfanoudaki, M Cronin, H Saglam, I So Yeon Kim, O Balogun, ...
Neurocritical care 37 (Suppl 2), 291-302, 2022
82022
Pricing algorithmic insurance
D Bertsimas, A Orfanoudaki
arXiv preprint arXiv:2106.00839, 2021
82021
An aggregated dataset of clinical outcomes for COVID-19 patients (2020)
D Bertsimas, H Bandi, L Boussioux, R Cory-Wright, A Delarue, ...
URL: http://www. covidanalytics. io/dataset documentation, 2020
72020
Algorithm, Human, or the Centaur: How to Enhance Clinical Care?
A Orfanoudaki, S Saghafian, K Song, HA Chakkera, C Cook
HKS Working Paper No. RWP22-027, 2022
42022
Improving quality in cardiothoracic surgery: Exploiting the untapped potential of machine learning
A Orfanoudaki, JA Dearani, DM Shahian, V Badhwar, F Fernandez, ...
The Annals of Thoracic Surgery 114 (6), 1995-2000, 2022
42022
a Beccara
D Bertsimas, G Lukin, L Mingardi, O Nohadani, A Orfanoudaki, B Stellato, ...
L., Canino, R., Dal Bello, M., Pezzetti, F., Pan, A., & Hellenic COVID-19 …, 2020
42020
Ensemble machine learning for personalized antihypertensive treatment
D Bertsimas, ARA Borenstein, A Dauvin, A Orfanoudaki
Naval Research Logistics (NRL) 69 (5), 669-688, 2022
32022
Vertical Patient Streaming in Emergency Departments
A Feizi, A Orfanoudaki, S Saghafian, N Hudgson
Available at SSRN 4465161, 2023
12023
Diabetes mellitus and blood glucose variability increases the 30‐day readmission rate after kidney transplantation
A Orfanoudaki, CB Cook, S Saghafian, J Castro, HE Kosiorek, ...
Clinical Transplantation 38 (1), e15177, 2024
2024
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Articles 1–20