Milena A Gebska

Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 10

Top Topics

Machine Learning

Prognostic Factors

Emergency Department

Ejection Fraction

Top Venues

Journal of personalized medicine

Cardiology research and practice

This page only lists publications with an associated author ORCID identifier.

Publications

Brian Olshansky, Milena A Gebska, Samuel L Johnston
Syncope-Do We Need AI? Journal of personalized medicine 13 (5) (2023)
Sangil Lee, Avinash Reddy Mudireddy, Deepak Kumar Pasupula, Mehul Adhaduk, E John Barsotti, Milan Sonka, Giselle M Statz, Tyler Bullis, Samuel L Johnston, Aron Z Evans, Brian Olshansky, Milena A Gebska
Novel Machine Learning Approach to Predict and Personalize Length of Stay for Patients Admitted with Syncope from the Emergency Departmen. Journal of personalized medicine 13 (1) (2022)
Sangil Lee, Avinash Reddy Mudireddy, Deepak Kumar Pasupula, Mehul Adhaduk, E John Barsotti, Milan Sonka, Giselle M Statz, Tyler Bullis, Samuel L Johnston, Aron Z Evans, Brian Olshansky, Milena A Gebska
Novel Machine Learning Approach to Predict and Personalize Length of Stay for Patients Admitted with Syncope from the Emergency Department. Journal of personalized medicine 13 (1) (2022)
Sangil Lee, Avinash Reddy Mudireddy, Deepak Kumar Pasupula, Mehul Adhaduk, E John Barsotti, Milan Sonka, Giselle M Statz, Tyler Bullis, Samuel L Johnston, Aron Z Evans, Brian Olshansky, Milena A Gebska
Novel Machine Learning Approach to Predict and Personalize Length of Stay for Patients Admitted with Syncope from the Emergency Departmen. Journal of personalized medicine 13 (1) (2022)
Sangil Lee, Avinash Reddy Mudireddy, Deepak Kumar Pasupula, Mehul Adhaduk, E John Barsotti, Milan Sonka, Giselle M Statz, Tyler Bullis, Samuel L Johnston, Aron Z Evans, Brian Olshansky, Milena A Gebska
Novel Machine Learning Approach to Predict and Personalize Length of Stay for Patients Admitted with Syncope from the Emergency Department. Journal of personalized medicine 13 (1) (2022)
Sangil Lee, Avinash Reddy Mudireddy, Deepak Kumar Pasupula, Mehul Adhaduk, E John Barsotti, Milan Sonka, Giselle M Statz, Tyler Bullis, Samuel L Johnston, Aron Z Evans, Brian Olshansky, Milena A Gebska
Novel Machine Learning Approach to Predict and Personalize Length of Stay for Patients Admitted with Syncope from the Emergency Department. Journal of personalized medicine 13 (1) (2022)
Sangil Lee, Avinash Reddy Mudireddy, Deepak Kumar Pasupula, Mehul Adhaduk, E John Barsotti, Milan Sonka, Giselle M Statz, Tyler Bullis, Samuel L Johnston, Aron Z Evans, Brian Olshansky, Milena A Gebska
Novel Machine Learning Approach to Predict and Personalize Length of Stay for Patients Admitted with Syncope from the Emergency Department. Journal of personalized medicine 13 (1) (2022)
Sangil Lee, Avinash Reddy Mudireddy, Deepak Kumar Pasupula, Mehul Adhaduk, E John Barsotti, Milan Sonka, Giselle M Statz, Tyler Bullis, Samuel L Johnston, Aron Z Evans, Brian Olshansky, Milena A Gebska
Novel Machine Learning Approach to Predict and Personalize Length of Stay for Patients Admitted with Syncope from the Emergency Departmen. Journal of personalized medicine 13 (1) (2022)
Sangil Lee, Avinash Reddy Mudireddy, Deepak Kumar Pasupula, Mehul Adhaduk, E John Barsotti, Milan Sonka, Giselle M Statz, Tyler Bullis, Samuel L Johnston, Aron Z Evans, Brian Olshansky, Milena A Gebska
Novel Machine Learning Approach to Predict and Personalize Length of Stay for Patients Admitted with Syncope from the Emergency Departmen. Journal of personalized medicine 13 (1) (2022)
Tyler P Rasmussen, Noah N Williford, Christopher DeZorzi, Aziz Hammoud, Brenden J Boyle, Yunshu Zhou, Patrick Ten Eyck, Milena A Gebska
Women Hospitalized for Acute on Chronic Decompensated Systolic Heart Failure Receive Less Furosemide Compared to Men. Cardiology research and practice 2019 (2019)