Novel Machine Learning Techniques Improve the Accuracy of Demographic Data-Delivered Algorithms Predicting Acute GvHD after Reduced-Intensity Allogeneic HSCT

Vaish Balaji; Iosif Mporas; Fatema Mustansir Dawoodbhoy; Emma White; Delordson Kallon; James Aries; Jamie Cavenagh; John Gribben; Sola Adeleke; Jeff Davies

Novel Machine Learning Techniques Improve the Accuracy of Demographic Data-Delivered Algorithms Predicting Acute GvHD after Reduced-Intensity Allogeneic HSCT

Vaish Balaji
, Iosif Mporas
, Fatema Mustansir Dawoodbhoy
, Emma White
, Delordson Kallon
, James Aries
, Jamie Cavenagh
, John Gribben
, Sola Adeleke
, Jeff Davies

Research output: Contribution to conference › Abstract › peer-review

Original language	English
Publication status	Published - 26 Apr 2023
Event	49th Annual Meeting of the European Society for Blood and Marrow Transplantation - Paris, France Duration: 23 Apr 2023 → 26 Apr 2023

Conference

Conference	49th Annual Meeting of the European Society for Blood and Marrow Transplantation
Abbreviated title	EBMT 2023
Country/Territory	France
City	Paris
Period	23/04/23 → 26/04/23

Cite this

Balaji, V., Mporas, I., Mustansir Dawoodbhoy, F., White, E., Kallon, D., Aries, J., Cavenagh, J., Gribben, J., Adeleke, S., & Davies, J. (2023). Novel Machine Learning Techniques Improve the Accuracy of Demographic Data-Delivered Algorithms Predicting Acute GvHD after Reduced-Intensity Allogeneic HSCT. Abstract from 49th Annual Meeting of the European Society for Blood and Marrow Transplantation, Paris, France.

@conference{d36d8fb8cc6a4c388bfb672519c6357a,

title = "Novel Machine Learning Techniques Improve the Accuracy of Demographic Data-Delivered Algorithms Predicting Acute GvHD after Reduced-Intensity Allogeneic HSCT",

author = "Vaish Balaji and Iosif Mporas and \{Mustansir Dawoodbhoy\}, Fatema and Emma White and Delordson Kallon and James Aries and Jamie Cavenagh and John Gribben and Sola Adeleke and Jeff Davies",

year = "2023",

month = apr,

day = "26",

language = "English",

note = " 49th Annual Meeting of the European Society for Blood and Marrow Transplantation, EBMT 2023 ; Conference date: 23-04-2023 Through 26-04-2023",

}

Balaji, V, Mporas, I, Mustansir Dawoodbhoy, F, White, E, Kallon, D, Aries, J, Cavenagh, J, Gribben, J, Adeleke, S & Davies, J 2023, 'Novel Machine Learning Techniques Improve the Accuracy of Demographic Data-Delivered Algorithms Predicting Acute GvHD after Reduced-Intensity Allogeneic HSCT', 49th Annual Meeting of the European Society for Blood and Marrow Transplantation, Paris, France, 23/04/23 - 26/04/23.

Novel Machine Learning Techniques Improve the Accuracy of Demographic Data-Delivered Algorithms Predicting Acute GvHD after Reduced-Intensity Allogeneic HSCT. / Balaji, Vaish; Mporas, Iosif; Mustansir Dawoodbhoy, Fatema et al.
2023. Abstract from 49th Annual Meeting of the European Society for Blood and Marrow Transplantation, Paris, France.

Research output: Contribution to conference › Abstract › peer-review

TY - CONF

T1 - Novel Machine Learning Techniques Improve the Accuracy of Demographic Data-Delivered Algorithms Predicting Acute GvHD after Reduced-Intensity Allogeneic HSCT

AU - Balaji, Vaish

AU - Mporas, Iosif

AU - Mustansir Dawoodbhoy, Fatema

AU - White, Emma

AU - Kallon, Delordson

AU - Aries, James

AU - Cavenagh, Jamie

AU - Gribben, John

AU - Adeleke, Sola

AU - Davies, Jeff

PY - 2023/4/26

Y1 - 2023/4/26

M3 - Abstract

T2 - 49th Annual Meeting of the European Society for Blood and Marrow Transplantation

Y2 - 23 April 2023 through 26 April 2023

ER -