Artificial Intelligence ( AI) Based, Machine Learning (ML) Predicting the Individual Absolute Risk of Acute Graft Versus Host Disease (aGvHD) in a Retrospective International Cohort

被引：0

作者：

Reschke, Madlen ^{[1
,2
,3
,4
]}

Gross, Jonathan P. ^{[1
,2
,3
,4
]}

Penack, Olaf ^{[3
,4
,5
]}

Sueruecue, Gueluestan ^{[6
]}

Summers, Corinne ^{[7
]}

Seiler, Jonas ^{[1
]}

Weschke, Daniel ^{[1
,2
,3
,4
]}

Higgins, David ^{[1
]}

Oevermann, Lena ^{[1
,2
,3
,4
]}

机构：

[1] Charite Univ Med Berlin, Berlin Inst Hlth, Berlin, Germany

[2] Charite Univ Med Berlin, Dept Pediat Oncol & Hematol, Berlin, Germany

[3] Free Univ Berlin, Berlin, Germany

[4] Humboldt Univ, Berlin, Germany

[5] Charite Univ Med Berlin, Dept Hematol Oncol & Tumorimmunol, Berlin, Germany

[6] Charite Univ Med Berlin, Inst Transfus Med, H&I Lab, Berlin, Germany

[7] Fred Hutchinson Canc Res Ctr, Seattle, WA USA

来源：

BLOOD | 2023年 / 142卷

关键词：

D O I：

10.1182/blood-2023-181535

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

引用

页数：3

共 16 条

[1] RESULTS OF FEASIBILITY STUDY WITH SELF-LEARNING, ARTIFICIAL INTELLIGENCE BASED, MACHINE LEARNING TOOL PREDICTING THE ABSOLUTE INDIVIDUAL RISK OF ACUTE GRAFT-VERSUS-HOST-DISEASE IN A RETROSPECTIVE PEDIATRIC COHORT
Reschke, Madlen
Gross, Jonathan Phillip
Seiler, Jonas
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Oevermann, Lena
BONE MARROW TRANSPLANTATION, 2023, 58 (SUPP1) : 313 - 314
[2] Evaluation of Artificial Intelligence (AI) for Acute Graft-Versus-Host Disease(GVHD) Classification
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BLOOD, 2023, 142
[3] Multi-Omics and Machine Learning Predict the Risk of Acute Graft Versus Host Disease
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Wang, Hong
Jiang, Erlie
BLOOD, 2024, 144 : 7364 - 7365
[4] Two machine learning-derived nomogram for predicting the occurrence and severity of acute graft-versus-host disease: a retrospective study based on serum biomarkers
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Li, Xin
Fang, Yuan
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FRONTIERS IN GENETICS, 2024, 15
[5] Acute Graft-Versus-Host Disease After Orthotopic Liver Transplantation: Predicting This Rare Complication Using Machine Learning
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Biggins, Scott W.
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[6] An EEG-Based, Artificial Intelligence/Machine Learning (AI/ML) Biomarker for Predicting Treatment Response in Depressed Patients Receiving an SSRI Antidepressant or TMS Therapy
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Zhang, Fan
Paul, Steven
Breier, Alan
Potter, William
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NEUROPSYCHOPHARMACOLOGY, 2024, 49 : 89 - 89
[7] Predicting Acute Graft-Versus-Host Disease Using Machine Learning and Longitudinal Vital Sign Data From Electronic Health Records
Tang, Shengpu
Chappell, Grant T.
Mazzoli, Amanda
Tewari, Muneesh
Choi, Sung Won
Wiens, Jenna
JCO CLINICAL CANCER INFORMATICS, 2020, 4 : 128 - 135
[8] Risk factor analysis for predicting chronic graft-versus-host disease of progressive or quiescent type in a cohort of patients with a history of acute graft-versus-host disease after allogeneic stem cell transplantation.
Sohn, SK
Kim, DH
Baek, JH
Kim, JG
Lee, KB
Lee, KH
Lee, JH
Choi, SJ
Lee, JH
BLOOD, 2005, 106 (11) : 419B - 419B
[9] Risk factor analysis for predicting progressive or quiescent-type chronic graft-versus-host disease in patient cohort with history of acute graft-versus-host disease after allogeneic stem cell transplantation
Sohn, SK
Kim, DH
Baek, JH
Kim, JG
Lee, KB
Lee, KH
Lee, JH
Choi, SJ
Lee, JH
Shin, IH
BONE MARROW TRANSPLANTATION, 2006, 37 : S82 - S82
[10] Risk-factor analysis for predicting progressive- or quiescent-type chronic graft-versus-host disease in a patient cohort with a history of acute graft-versus-host disease after allogeneic stem cell transplantation
Sohn, SK
Kim, DH
Baek, JH
Kim, JG
Lee, KB
Lee, KH
Lee, JH
Choi, SJ
Lee, JH
Shin, IH
BONE MARROW TRANSPLANTATION, 2006, 37 (07) : 699 - 708

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