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A machine learning model for predicting fetal Haemoglobin levels in sickle cell disease patients

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

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A machine learning model for predicting fetal Haemoglobin levels in sickle cell disease patients. / Oikonomou, Konstantinos; Steinhofel, Kathleen; Menzel, Stephan.

Proceedings of Sixth International Congress on Information and Communication Technology. Vol. 1 Springer-Verlag Berlin Heidelberg, 2021. ( Lecture Notes in Networks and Systems).

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Harvard

Oikonomou, K, Steinhofel, K & Menzel, S 2021, A machine learning model for predicting fetal Haemoglobin levels in sickle cell disease patients. in Proceedings of Sixth International Congress on Information and Communication Technology. vol. 1, Lecture Notes in Networks and Systems, Springer-Verlag Berlin Heidelberg.

APA

Oikonomou, K., Steinhofel, K., & Menzel, S. (2021). A machine learning model for predicting fetal Haemoglobin levels in sickle cell disease patients. In Proceedings of Sixth International Congress on Information and Communication Technology (Vol. 1). ( Lecture Notes in Networks and Systems). Springer-Verlag Berlin Heidelberg.

Vancouver

Oikonomou K, Steinhofel K, Menzel S. A machine learning model for predicting fetal Haemoglobin levels in sickle cell disease patients. In Proceedings of Sixth International Congress on Information and Communication Technology. Vol. 1. Springer-Verlag Berlin Heidelberg. 2021. ( Lecture Notes in Networks and Systems).

Author

Oikonomou, Konstantinos ; Steinhofel, Kathleen ; Menzel, Stephan. / A machine learning model for predicting fetal Haemoglobin levels in sickle cell disease patients. Proceedings of Sixth International Congress on Information and Communication Technology. Vol. 1 Springer-Verlag Berlin Heidelberg, 2021. ( Lecture Notes in Networks and Systems).

Bibtex Download

@inbook{6061a9941bad4e2db24599923e2f2a22,
title = "A machine learning model for predicting fetal Haemoglobin levels in sickle cell disease patients",
author = "Konstantinos Oikonomou and Kathleen Steinhofel and Stephan Menzel",
year = "2021",
month = feb,
day = "25",
language = "English",
volume = "1",
series = " Lecture Notes in Networks and Systems",
publisher = "Springer-Verlag Berlin Heidelberg",
booktitle = "Proceedings of Sixth International Congress on Information and Communication Technology",

}

RIS (suitable for import to EndNote) Download

TY - CHAP

T1 - A machine learning model for predicting fetal Haemoglobin levels in sickle cell disease patients

AU - Oikonomou, Konstantinos

AU - Steinhofel, Kathleen

AU - Menzel, Stephan

PY - 2021/2/25

Y1 - 2021/2/25

M3 - Conference paper

VL - 1

T3 - Lecture Notes in Networks and Systems

BT - Proceedings of Sixth International Congress on Information and Communication Technology

PB - Springer-Verlag Berlin Heidelberg

ER -

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