| Knowledge4COVID-19

Property	Value
is ?:annotates of	<https://research.tib.eu/covid-19/entity/32604585_HAS_TOPIC_C0027976> <https://research.tib.eu/covid-19/entity/32604585_HAS_TOPIC_C0032310> <https://research.tib.eu/covid-19/entity/32604585_HAS_TOPIC_C0079150> <https://research.tib.eu/covid-19/entity/32604585_HAS_TOPIC_C0086418> <https://research.tib.eu/covid-19/entity/32604585_HAS_TOPIC_C0206750> <https://research.tib.eu/covid-19/entity/32604585_HAS_TOPIC_C1615608> <https://research.tib.eu/covid-19/entity/32604585_HAS_TOPIC_C2362543> <https://research.tib.eu/covid-19/entity/32604585_HAS_TOPIC_C3694279> <https://research.tib.eu/covid-19/entity/32604585_HAS_TOPIC_C4042902> <https://research.tib.eu/covid-19/entity/32604585_HAS_TOPIC_C5203670> <https://research.tib.eu/covid-19/entity/32604585_HAS_TOPIC_C5203676> <https://research.tib.eu/covid-19/entity/32604585_HAS_TOPIC_C5392141>
?:authorAffiliation	[\'Icahn School of Medicine at Mount Sinai, New York, NY, USA.\']
?:citedBy	-1
?:creator	<https://research.tib.eu/covid-19/entity/Cui_Wanting> <https://research.tib.eu/covid-19/entity/Finkelstein_Joseph> <https://research.tib.eu/covid-19/entity/Robins_Daniel>
?:doi	10.3233/SHTI200478
?:doi	<https://research.tib.eu/covid-19/entity/10.3233/SHTI200478>
?:hasPublicationType	<https://research.tib.eu/covid-19/entity/Journal_Article>
?:journal	Studies in health technology and informatics
is ?:pmid of	<https://research.tib.eu/covid-19/entity/32604585> <https://research.tib.eu/covid-19/entity/l2qkwnpt>
?:pmid	<https://research.tib.eu/covid-19/entity/32604585>
?:pmid	32604585
?:publication_isRelatedTo_Disease	<https://research.tib.eu/covid-19/entity/Covid-19>
?:rankingScore_SJR	0.236
?:rankingScore_hIndex	48
?:title	Unsupervised Machine Learning for the Discovery of Latent Clusters in COVID-19 Patients Using Electronic Health Records.
?:type	<https://research.tib.eu/covid-19/vocab/Publication> <https://research.tib.eu/covid-19/vocab/Publication_Author>
?:year	2020

Metadata

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