Search details
1.
Predicting haemoglobin deferral using machine learning models: Can we use the same prediction model across countries?
Vox Sang
; 2024 Apr 18.
Article
in English
| MEDLINE | ID: mdl-38637123
2.
Extensive red blood cell matching considering patient alloimmunization risk.
Vox Sang
; 119(4): 368-376, 2024 Apr.
Article
in English
| MEDLINE | ID: mdl-38286764
3.
The added value of ferritin levels and genetic markers for the prediction of haemoglobin deferral.
Vox Sang
; 118(10): 825-834, 2023 Oct.
Article
in English
| MEDLINE | ID: mdl-37649369
4.
An international comparison of haemoglobin deferral prediction models for blood banking.
Vox Sang
; 118(6): 430-439, 2023 Jun.
Article
in English
| MEDLINE | ID: mdl-36924102
5.
Individual and environmental determinants of serum ferritin levels: A structural equation model.
Transfus Med
; 33(2): 113-122, 2023 Apr.
Article
in English
| MEDLINE | ID: mdl-37009681
6.
A computational model for prediction of ferritin and haemoglobin levels in blood donors.
Br J Haematol
; 199(1): 143-152, 2022 10.
Article
in English
| MEDLINE | ID: mdl-35855538
7.
Why the majority of on-site repeat donor deferrals are completely unwarranted .
Transfusion
; 62(10): 2068-2075, 2022 10.
Article
in English
| MEDLINE | ID: mdl-36053780
8.
A robust autonomous method for blood demand forecasting.
Transfusion
; 62(6): 1261-1268, 2022 06.
Article
in English
| MEDLINE | ID: mdl-35383944
9.
Determining optimal locations for blood distribution centers.
Transfusion
; 62(12): 2515-2524, 2022 12.
Article
in English
| MEDLINE | ID: mdl-36239229
10.
Predicting vasovagal reactions to a virtual blood donation using facial image analysis.
Transfusion
; 62(4): 838-847, 2022 04.
Article
in English
| MEDLINE | ID: mdl-35191034
11.
Explainable haemoglobin deferral predictions using machine learning models: Interpretation and consequences for the blood supply.
Vox Sang
; 117(11): 1262-1270, 2022 Nov.
Article
in English
| MEDLINE | ID: mdl-36102148
12.
Preventing alloimmunization using a new model for matching extensively typed red blood cells.
Vox Sang
; 117(4): 580-586, 2022 Apr.
Article
in English
| MEDLINE | ID: mdl-34725840
13.
Clinical and in vitro evaluation of red blood cells collected and stored in a non-DEHP plasticized bag system.
Vox Sang
; 117(10): 1163-1170, 2022 Oct.
Article
in English
| MEDLINE | ID: mdl-36102116
14.
Extended red blood cell matching for all transfusion recipients is feasible.
Transfus Med
; 32(3): 221-228, 2022 Jun.
Article
in English
| MEDLINE | ID: mdl-34845765
15.
Mapping anticipated advantages and disadvantages of implementation of extensive donor genotyping: A focus group approach.
Transfus Med
; 32(5): 366-374, 2022 Oct.
Article
in English
| MEDLINE | ID: mdl-35668008
16.
A WHO tool for risk-based decision making on blood safety interventions.
Transfusion
; 61(2): 503-515, 2021 02.
Article
in English
| MEDLINE | ID: mdl-33368381
17.
Not a crystal ball: Mapping opportunities and threats for the future demand of red blood cells in the Netherlands using a scenario approach.
Transfusion
; 61(8): 2356-2367, 2021 08.
Article
in English
| MEDLINE | ID: mdl-34058022
18.
Reduction of anti-K-mediated hemolytic disease of newborns after the introduction of a matched transfusion policy: A nation-wide policy change evaluation study in the Netherlands.
Transfusion
; 61(3): 713-721, 2021 03.
Article
in English
| MEDLINE | ID: mdl-33528025
19.
West Nile virus and blood transfusion safety: A European perspective.
Vox Sang
; 116(10): 1094-1101, 2021 Nov.
Article
in English
| MEDLINE | ID: mdl-33900632
20.
First results of a ferritin-based blood donor deferral policy in the Netherlands.
Transfusion
; 60(8): 1785-1792, 2020 08.
Article
in English
| MEDLINE | ID: mdl-32533600