Monografie
Machine learning identifies ICU outcome predictors in a multicenter COVID-19 cohort
- Sprache
-
Englisch
- Identifier
-
1241043531
Beteiligte Personen und Organisationen
- DOI
-
10.1186/s13054-021-03720-4
- URN
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
26.01.2023, 13:56 MEZ
Objekttyp
- Monografie
Ähnliche Objekte (12)
Machine learning identifies ICU outcome predictors in a multicenter COVID-19 cohort
“Do no further harm” – Why shall we sedate unresponsive patients?
Comparative analysis of machine learning algorithms for multi-syndrome classification of neurodegenerative syndromes
The association of the Activities of Daily Living and the outcome of old intensive care patients suffering from COVID-19
The association of prior paracetamol intake with outcome of very old intensive care patients with COVID-19: results from an international prospective multicentre trial
Choosing the right reference cohort for assessing outcome of venovenous ECMO
Dynamics of disease characteristics and clinical management of critically ill COVID-19 patients over the time course of the pandemic: an analysis of the prospective, international, multicentre RISC-19-ICU registry
Impact of comorbid borderline personality disorder on the outcome of inpatient treatment for anorexia nervosa: a retrospective chart review
Preventing COVID-19 outbreaks through surveillance testing in healthcare facilities: a modelling study
Learning from failure - rationale and design for a study about discontinuation of randomized trials (DISCO study)
Direct and indirect costs and cost-driving factors of Tuberous sclerosis complex in children, adolescents, and caregivers: a multicenter cohort study
Cerebrospinal fluid findings in COVID-19: a multicenter study of 150 lumbar punctures in 127 patients
Machine learning identifies ICU outcome predictors in a multicenter COVID-19 cohort
“Do no further harm” – Why shall we sedate unresponsive patients?
Comparative analysis of machine learning algorithms for multi-syndrome classification of neurodegenerative syndromes
The association of the Activities of Daily Living and the outcome of old intensive care patients suffering from COVID-19
The association of prior paracetamol intake with outcome of very old intensive care patients with COVID-19: results from an international prospective multicentre trial
Choosing the right reference cohort for assessing outcome of venovenous ECMO
Dynamics of disease characteristics and clinical management of critically ill COVID-19 patients over the time course of the pandemic: an analysis of the prospective, international, multicentre RISC-19-ICU registry
Impact of comorbid borderline personality disorder on the outcome of inpatient treatment for anorexia nervosa: a retrospective chart review
Preventing COVID-19 outbreaks through surveillance testing in healthcare facilities: a modelling study
Learning from failure - rationale and design for a study about discontinuation of randomized trials (DISCO study)
Direct and indirect costs and cost-driving factors of Tuberous sclerosis complex in children, adolescents, and caregivers: a multicenter cohort study
Cerebrospinal fluid findings in COVID-19: a multicenter study of 150 lumbar punctures in 127 patients
Machine learning identifies ICU outcome predictors in a multicenter COVID-19 cohort
“Do no further harm” – Why shall we sedate unresponsive patients?
Comparative analysis of machine learning algorithms for multi-syndrome classification of neurodegenerative syndromes
The association of the Activities of Daily Living and the outcome of old intensive care patients suffering from COVID-19
The association of prior paracetamol intake with outcome of very old intensive care patients with COVID-19: results from an international prospective multicentre trial
Choosing the right reference cohort for assessing outcome of venovenous ECMO
Dynamics of disease characteristics and clinical management of critically ill COVID-19 patients over the time course of the pandemic: an analysis of the prospective, international, multicentre RISC-19-ICU registry
Impact of comorbid borderline personality disorder on the outcome of inpatient treatment for anorexia nervosa: a retrospective chart review
Preventing COVID-19 outbreaks through surveillance testing in healthcare facilities: a modelling study
Learning from failure - rationale and design for a study about discontinuation of randomized trials (DISCO study)
Direct and indirect costs and cost-driving factors of Tuberous sclerosis complex in children, adolescents, and caregivers: a multicenter cohort study