Personalized survival probabilities for SARS-CoV-2 positive patients by explainable machine learning

to related objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 2045-2322

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Personalized survival probabilities for SARS-CoV-2 positive patients by explainable machine learning ; volume:12 ; number:1 ; day:16 ; month:8 ; year:2022 ; pages:1-14 ; date:12.2022
Scientific reports ; 12, Heft 1 (16.8.2022), 1-14, 12.2022

Creator: Zucco, Adrian G.
Agius, Rudi
Svanberg, Rebecka
Moestrup, Kasper S.
Marandi, Ramtin Z.
MacPherson, Cameron Ross
Lundgren, Jens
Ostrowski, Sisse R.
Niemann, Carsten U.

Contributor: SpringerLink (Online service)

DOI: 10.1038/s41598-022-17953-y

URN: urn:nbn:de:101:1-2022110322001296222106

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:35 AM CEST

Data provider

This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.

Show original at data provider

Associated

Zucco, Adrian G.
Agius, Rudi
Svanberg, Rebecka
Moestrup, Kasper S.
Marandi, Ramtin Z.
MacPherson, Cameron Ross
Lundgren, Jens
Ostrowski, Sisse R.
Niemann, Carsten U.
SpringerLink (Online service)

Other Objects (12)

A Personalized Explainable Learner Implicit Friend Recommendation Method

Estimating SARS-CoV-2 infection probabilities with serological data and a Bayesian mixture model

Unsupervised explainable AI for molecular evolutionary study of forty thousand SARS-CoV-2 genomes

Potentially adaptive SARS-CoV-2 mutations discovered with novel spatiotemporal and explainable AI models

A precision functional atlas of personalized network topography and probabilities

Coronavirus in Continuous Flux: From SARS‐CoV to SARS‐CoV‐2

Quelle

SARS-CoV-2-Arbeitsschutzstandard

Enhancing explainable SARS-CoV-2 vaccine development leveraging bee colony optimised Bi-LSTM, Bi-GRU models and bioinformatic analysis

Data mining of coronavirus: SARS-CoV-2, SARS-CoV and MERS-CoV

Universal subunit vaccine protects against multiple SARS-CoV-2 variants and SARS-CoV

Artikel

Coronavirus - COVID-19 - SARS-COV-2

Buchbeitrag

Coronavirus - COVID-19 - SARS-COV-2

A Personalized Explainable Learner Implicit Friend Recommendation Method

Estimating SARS-CoV-2 infection probabilities with serological data and a Bayesian mixture model

Unsupervised explainable AI for molecular evolutionary study of forty thousand SARS-CoV-2 genomes

Potentially adaptive SARS-CoV-2 mutations discovered with novel spatiotemporal and explainable AI models

A precision functional atlas of personalized network topography and probabilities

Coronavirus in Continuous Flux: From SARS‐CoV to SARS‐CoV‐2

Quelle

SARS-CoV-2-Arbeitsschutzstandard

Enhancing explainable SARS-CoV-2 vaccine development leveraging bee colony optimised Bi-LSTM, Bi-GRU models and bioinformatic analysis

Data mining of coronavirus: SARS-CoV-2, SARS-CoV and MERS-CoV

Universal subunit vaccine protects against multiple SARS-CoV-2 variants and SARS-CoV

Artikel

Coronavirus - COVID-19 - SARS-COV-2

Buchbeitrag

Coronavirus - COVID-19 - SARS-COV-2

A Personalized Explainable Learner Implicit Friend Recommendation Method

Estimating SARS-CoV-2 infection probabilities with serological data and a Bayesian mixture model

Unsupervised explainable AI for molecular evolutionary study of forty thousand SARS-CoV-2 genomes

Potentially adaptive SARS-CoV-2 mutations discovered with novel spatiotemporal and explainable AI models

A precision functional atlas of personalized network topography and probabilities

Coronavirus in Continuous Flux: From SARS‐CoV to SARS‐CoV‐2

Quelle

SARS-CoV-2-Arbeitsschutzstandard

Enhancing explainable SARS-CoV-2 vaccine development leveraging bee colony optimised Bi-LSTM, Bi-GRU models and bioinformatic analysis

Data mining of coronavirus: SARS-CoV-2, SARS-CoV and MERS-CoV

Universal subunit vaccine protects against multiple SARS-CoV-2 variants and SARS-CoV

Artikel

Coronavirus - COVID-19 - SARS-COV-2

Buchbeitrag

Coronavirus - COVID-19 - SARS-COV-2

Cultural heritage institutions wishing to register will find more information here.

Fields marked * need to be filled in.

Username*

Please enter your username

Email*

Please enter your email address

Please do not fill this field

First name

Last name

Password*

Please enter your password

Confirm password*

Please enter the same password

I have read the terms of use and the privacy policy for the collection of personal data and accept them. *

This field is required.

I would like to subscribe to the newsletter of the Deutsche Digitale Bibliothek. See newsletter subscription info.

Account created

Your "My DDB" account has been successfully created. Before you can log in to your account, you must click the confirmation link in the message we just sent to the email address you provided.

Personalized survival probabilities for SARS-CoV-2 positive patients by explainable machine learning

Object Details

References and Relationships

Contributors, Places and Time

Further information

Data provider

Associated

Other Objects (12)

A Personalized Explainable Learner Implicit Friend Recommendation Method

Estimating SARS-CoV-2 infection probabilities with serological data and a Bayesian mixture model

Unsupervised explainable AI for molecular evolutionary study of forty thousand SARS-CoV-2 genomes

Potentially adaptive SARS-CoV-2 mutations discovered with novel spatiotemporal and explainable AI models

A precision functional atlas of personalized network topography and probabilities

Coronavirus in Continuous Flux: From SARS‐CoV to SARS‐CoV‐2

SARS-CoV-2-Arbeitsschutzstandard

Enhancing explainable SARS-CoV-2 vaccine development leveraging bee colony optimised Bi-LSTM, Bi-GRU models and bioinformatic analysis

Data mining of coronavirus: SARS-CoV-2, SARS-CoV and MERS-CoV

Universal subunit vaccine protects against multiple SARS-CoV-2 variants and SARS-CoV

Coronavirus - COVID-19 - SARS-COV-2

Coronavirus - COVID-19 - SARS-COV-2

A Personalized Explainable Learner Implicit Friend Recommendation Method

Estimating SARS-CoV-2 infection probabilities with serological data and a Bayesian mixture model

Unsupervised explainable AI for molecular evolutionary study of forty thousand SARS-CoV-2 genomes

Potentially adaptive SARS-CoV-2 mutations discovered with novel spatiotemporal and explainable AI models

A precision functional atlas of personalized network topography and probabilities

Coronavirus in Continuous Flux: From SARS‐CoV to SARS‐CoV‐2

SARS-CoV-2-Arbeitsschutzstandard

Enhancing explainable SARS-CoV-2 vaccine development leveraging bee colony optimised Bi-LSTM, Bi-GRU models and bioinformatic analysis

Data mining of coronavirus: SARS-CoV-2, SARS-CoV and MERS-CoV

Universal subunit vaccine protects against multiple SARS-CoV-2 variants and SARS-CoV

Coronavirus - COVID-19 - SARS-COV-2

Coronavirus - COVID-19 - SARS-COV-2

A Personalized Explainable Learner Implicit Friend Recommendation Method

Estimating SARS-CoV-2 infection probabilities with serological data and a Bayesian mixture model

Unsupervised explainable AI for molecular evolutionary study of forty thousand SARS-CoV-2 genomes

Potentially adaptive SARS-CoV-2 mutations discovered with novel spatiotemporal and explainable AI models

A precision functional atlas of personalized network topography and probabilities

Coronavirus in Continuous Flux: From SARS‐CoV to SARS‐CoV‐2

SARS-CoV-2-Arbeitsschutzstandard

Enhancing explainable SARS-CoV-2 vaccine development leveraging bee colony optimised Bi-LSTM, Bi-GRU models and bioinformatic analysis

Data mining of coronavirus: SARS-CoV-2, SARS-CoV and MERS-CoV

Universal subunit vaccine protects against multiple SARS-CoV-2 variants and SARS-CoV

Coronavirus - COVID-19 - SARS-COV-2

Coronavirus - COVID-19 - SARS-COV-2

Related objects

Reset password