Arabako Erakunde Sanitario Integratua
Osakidetzako erakundea
University of California, San Francisco
San Francisco, Estados UnidosUniversity of California, San Francisco-ko ikertzaileekin lankidetzan egindako argitalpenak (6)
2024
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At-admission prediction of mortality and pulmonary embolism in an international cohort of hospitalised patients with COVID-19 using statistical and machine learning methods
Scientific Reports, Vol. 14, Núm. 1
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The Human Phenotype Ontology in 2024: phenotypes around the world
Nucleic acids research, Vol. 52, Núm. D1, pp. D1333-D1346
2022
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ISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19
Scientific Data, Vol. 9, Núm. 1
2021
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Impact of Bacillus Calmette-Gue´rin (BCG) vaccination on postoperative mortality in patients with perioperative SARS-CoV-2 infection
BJS Open
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Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: The COVIDSurg mortality score
British Journal of Surgery, Vol. 19, Núm. 4
2013
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Genome-wide association study identifies multiple risk loci for chronic lymphocytic leukemia
Nature Genetics, Vol. 45, Núm. 8, pp. 868-876