Developing and validating a machine learning prognostic model for alerting to imminent deterioration of hospitalized patients with COVID-19
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2045-2322
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Developing and validating a machine learning prognostic model for alerting to imminent deterioration of hospitalized patients with COVID-19 ; volume:12 ; number:1 ; day:10 ; month:11 ; year:2022 ; pages:1-10 ; date:12.2022
Scientific reports ; 12, Heft 1 (10.11.2022), 1-10, 12.2022
- Creator
-
Kogan, Yuri
Robinson, Ari
Itelman, Edward
Bar-Nur, Yeonatan
Jakobson, Daniel Jorge
Segal, Gad
Agur, Zvia
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1038/s41598-022-23553-7
- URN
-
urn:nbn:de:101:1-2023012422074718472207
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:24 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Kogan, Yuri
- Robinson, Ari
- Itelman, Edward
- Bar-Nur, Yeonatan
- Jakobson, Daniel Jorge
- Segal, Gad
- Agur, Zvia
- SpringerLink (Online service)
Other Objects (12)
Imminent
Developing and validating the nursing presence scale for hospitalized patients
Evictionem imminentem
Development and Validation of a Machine Learning Algorithm Using Clinical Pages to Predict Imminent Clinical Deterioration
Outcomes of hospitalized hematologic oncology patients receiving rapid response system activation for acute deterioration
Validating the association of Oxford classification and renal function deterioration among Taiwanese individuals with Immunoglobulin A nephropathy
FRG-China: Normal relations imminent
Markers of imminent myocardial infarction
Impact of nighttime Rapid Response Team activation on outcomes of hospitalized patients with acute deterioration
Progressive deterioration.
Accounting for treatment use when validating a prognostic model: a simulation study
Sectio III. De Concursu Creditorum Imminente.
Imminent
Developing and validating the nursing presence scale for hospitalized patients
Evictionem imminentem
Development and Validation of a Machine Learning Algorithm Using Clinical Pages to Predict Imminent Clinical Deterioration
Outcomes of hospitalized hematologic oncology patients receiving rapid response system activation for acute deterioration
Validating the association of Oxford classification and renal function deterioration among Taiwanese individuals with Immunoglobulin A nephropathy
FRG-China: Normal relations imminent
Markers of imminent myocardial infarction
Impact of nighttime Rapid Response Team activation on outcomes of hospitalized patients with acute deterioration
Progressive deterioration.
Accounting for treatment use when validating a prognostic model: a simulation study
Sectio III. De Concursu Creditorum Imminente.
Imminent
Developing and validating the nursing presence scale for hospitalized patients
Evictionem imminentem
Development and Validation of a Machine Learning Algorithm Using Clinical Pages to Predict Imminent Clinical Deterioration
Outcomes of hospitalized hematologic oncology patients receiving rapid response system activation for acute deterioration
Validating the association of Oxford classification and renal function deterioration among Taiwanese individuals with Immunoglobulin A nephropathy
FRG-China: Normal relations imminent
Markers of imminent myocardial infarction
Impact of nighttime Rapid Response Team activation on outcomes of hospitalized patients with acute deterioration
Progressive deterioration.
Accounting for treatment use when validating a prognostic model: a simulation study