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Mosquera‐Orgueira, Adrián
30
results:
Search for persons
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Format
Online (30)
Mediatypes
Articles (Online) (11)
OpenAccess-fulltext (19)
Sorted by: Relevance
Sorted by: Year
?
1
Integrating AIPSS‐MF and molecular predictors: A comparativ..:
Mosquera‐Orgueira, Adrián
;
Arellano‐Rodrigo, Eduardo
;
Garrote, Marta
...
HemaSphere. 8 (2024) 3 - p. , 2024
Link:
https://doi.org/10.1002/..
?
2
The prognostic impact of non‐driver gene mutations and vari..:
Hernández‐Sánchez, Alberto
;
Villaverde‐Ramiro, Ángela
;
Arellano‐Rodrigo, Eduardo
...
American Journal of Hematology. 99 (2024) 4 - p. 755-758 , 2024
Link:
https://doi.org/10.1002/..
?
3
AIPSS‐MF machine learning prognostic score validation in a ..:
Duminuco, Andrea
;
Mosquera‐Orgueira, Adrian
;
Nardo, Antonella
..
Cancer Reports. 6 (2023) 10 - p. , 2023
Link:
https://doi.org/10.1002/..
?
4
PB2384: EVALUATION OF NEW MACHINE LEARNING SYSTEMS FOR PROG..:
Mosquera-Orgueira, Adrian
;
Angel Diaz Arias, Jose
;
Serrano Martin, Rocio
...
HemaSphere. 7 (2023) S3 - p. e681104f , 2023
Link:
https://doi.org/10.1097/..
?
5
PB2624: CLINICAL WHOLE EXOM SEQUENCING FOR CONGENITAL PLATE..:
Piñeiro, Victor Portela
;
Mosquera-Orgueira, Adrian
;
Mellid, Eugenia Fernandez
...
HemaSphere. 7 (2023) S3 - p. e7138007 , 2023
Link:
https://doi.org/10.1097/..
?
6
Machine Learning Improves Risk Stratification in Myelofibro..:
Mosquera-Orgueira, Adrián
;
Pérez-Encinas, Manuel
;
Hernández-Sánchez, Alberto
...
HemaSphere. 7 (2023) 1 - p. e818 , 2023
Link:
https://doi.org/10.1097/..
?
7
P703: THE AIPSS-MDS MACHINE LEARNING MODEL PREDICTS OVERALL..:
Mosquera-Orgueira, Adrian
;
Mateo Perez Encinas, Manuel
;
Diaz Varela, Nicolas
...
HemaSphere. 7 (2023) S3 - p. e69250c9 , 2023
Link:
https://doi.org/10.1097/..
?
8
P1047: AIPSS-MF MACHINE LEARNING MODEL AS USEFUL PROGNOSTIC..:
Duminuco, Andrea
;
Mosquera-Orgueira, Adrian
;
Nardo, Antonella
..
HemaSphere. 7 (2023) S3 - p. e17982f2 , 2023
Link:
https://doi.org/10.1097/..
?
9
P1234: A PROGNOSTIC MODEL BASED ON GENE EXPRESSION PARAMETE..:
Mosquera-Orgueira, Adrian
;
Arias, Jose Angel Diaz
;
Serrano Martin, Rocio
...
HemaSphere. 7 (2023) S3 - p. e2637897 , 2023
Link:
https://doi.org/10.1097/..
?
10
P967: A MACHINE LEARNING MODEL FOR RISK PREDICTION IN MULTI..:
Mosquera-Orgueira, Adrian
;
Perez, Marta Sonia Gonzalez
;
Diaz Arias, Jose Angel
.
HemaSphere. 7 (2023) S3 - p. e58012ca , 2023
Link:
https://doi.org/10.1097/..
?
11
Variable Expressivity and Allelic Heterogeneity in Type 2 F..:
Araújo-Vilar, David
;
Fernández-Pombo, Antía
;
Victoria, Berta
...
Journal of Clinical Medicine. 10 (2021) 7 - p. 1497 , 2021
Link:
https://doi.org/10.3390/..
?
12
AIPSS‐MF machine learning prognostic score validation in a ..:
Duminuco, Andrea
;
Mosquera‐Orgueira, Adrian
;
Nardo, Antonella
..
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10598243/. , 2023
Link:
http://www.ncbi.nlm.nih...
?
13
AIPSS‐MF machine learning prognostic score validation in a ..:
Andrea Duminuco
;
Adrian Mosquera‐Orgueira
;
Antonella Nardo
..
https://doi.org/10.1002/cnr2.1881. , 2023
Link:
https://doi.org/10.1002/..
?
14
PB2384: EVALUATION OF NEW MACHINE LEARNING SYSTEMS FOR PROG..:
Adrian Mosquera-Orgueira
;
Jose Angel Diaz Arias
;
Rocio Serrano Martin
...
http://journals.lww.com/10.1097/01.HS9.0000976252.68110.4f. , 2023
Link:
https://doi.org/10.1097/..
?
15
P1047: AIPSS-MF MACHINE LEARNING MODEL AS USEFUL PROGNOSTIC..:
Andrea Duminuco
;
Adrian Mosquera-Orgueira
;
Antonella Nardo
..
http://journals.lww.com/10.1097/01.HS9.0000971084.17982.f2. , 2023
Link:
https://doi.org/10.1097/..
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