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1 Ergebnisse
1
Local Naïve Bayes for Predicting Evolution of COVID-19 Pati..:
, In:
2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
,
Arias-Alcaide, Carlos
;
Soguero-Ruiz, Cristina
;
Santos-Alvarez, Paloma
.. - p. 1443-1450 , 2022
Link:
https://doi.org/10.1109/BIBM55620.2022.9995321
RT T1 <cTitle>2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)</cTitle>: T1 <Title>Local Naïve Bayes for Predicting Evolution of COVID-19 Patients on Self Organizing Maps</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9995321&Exemplar=1&LAN=DE A1 Arias-Alcaide, Carlos A1 Soguero-Ruiz, Cristina A1 Santos-Alvarez, Paloma A1 Arche, Jose Felipe Varona A1 Mora-Jimenez, Inmaculada YR 2022 K1 Self-organizing feature maps K1 COVID-19 K1 Hospitals K1 Estimation K1 Predictive models K1 Sensitivity and specificity K1 Probabilistic logic K1 Health Status Monitoring K1 Self Organizing Maps K1 Naïve Bayes Classifier K1 Kernel Density Estimation K1 Temporal Risk Prediction SP 1443 OP 1450 LK http://dx.doi.org/https://doi.org/10.1109/BIBM55620.2022.9995321 DO https://doi.org/10.1109/BIBM55620.2022.9995321 SF ELIB - SuUB Bremen
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