학술논문

발행년
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(예 : 2010-2015)
'학술논문' 에서 검색결과 14건 | 목록 1~10
Electronic Resource
Vagliano , I , Schut , M C , Abu-Hanna , A , Dongelmans , D A , de Lange , D W , Gommers , D , Cremer , O L , Bosman , R J , Rigter , S , Wils , E J , Frenzel , T , de Jong , R , Peters , M A A , Kamps , M J A , Ramnarain , D , Nowitzky , R , Nooteboom , F G C A , de Ruijter , W , Urlings-Strop , L C , Smit , E G M , Mehagnoul-Schipper , D J , Dormans , T , de Jager , C P C , Hendriks , S H A , Achterberg , S , Oostdijk , E , Reidinga , A C , Festen-Spanjer , B , Brunnekreef , G B , Cornet , A D , van den Tempel , W , Boelens , A D , Koetsier , P , Lens , J , Faber , H J , Karakus , A , Entjes , R , de Jong , P , Rettig , T C D , Reuland , M C , Arbous , S , Fleuren , L M , Dam , T A , Thoral , P J , Lalisang , R C A , Tonutti , M , de Bruin , D P , Elbers , P W G & de Keizer , N F 2022 , ' Assess and validate predictive performance of models for in-hospital mortality in COVID-19 patients : A retrospective cohort study in the Netherlands comparing the value of registry data with high-granular electronic health records ' , International Journal of Medical Informatics , vol. 167 , 104863 .
Electronic Resource
Dam , T A , Roggeveen , L F , The Dutch ICU Data Sharing Against COVID-19 Collaborators , van Diggelen , F , Fleuren , L M , Jagesar , A R , Otten , M , de Vries , H J , Gommers , D , Cremer , O L , Bosman , R J , Rigter , S , Wils , E J , Frenzel , T , Dongelmans , D A , de Jong , R , Peters , M A A , Kamps , M J A , Ramnarain , D , Nowitzky , R , Nooteboom , F G C A , de Ruijter , W , Urlings-Strop , L C , Smit , E G M , Mehagnoul-Schipper , D J , Dormans , T , de Jager , C P C , Hendriks , S H A , Achterberg , S , Oostdijk , E , Reidinga , A C , Festen-Spanjer , B , Brunnekreef , G B , Cornet , A D , van den Tempel , W , Boelens , A D , Koetsier , P , Lens , J , Faber , H J , Karakus , A , Entjes , R , de Jong , P , Rettig , T C D , van Bommel , J , van den Berg , R , Hana , A , van Koesveld , J J M , Labout , J , van Tellingen , M , Dijkstra , A & Hendriks , T 2022 , ' Predicting responders to prone positioning in mechanically ventilated patients with COVID-19 using machine learning ' , Annals of Intensive Care , vol. 12 , no. 1 , 99 .
Electronic Resource
Plečko , D , Bennett , N , Mårtensson , J , Dam , T A , Entjes , R , Rettig , T C D , Dongelmans , D A , Boelens , A D , Rigter , S , Hendriks , S H A , de Jong , R , Kamps , M J A , Peters , M , Karakus , A , Gommers , D , Ramnarain , D , Wils , E J , Achterberg , S , Nowitzky , R , van den Tempel , W , de Jager , C P C , Nooteboom , F G C A , Oostdijk , E , Koetsier , P , Cornet , A D , Reidinga , A C , de Ruijter , W , Bosman , R J , Frenzel , T , Urlings-Strop , L C , de Jong , P , Smit , E G M , Cremer , O L , Mehagnoul-Schipper , D J , Faber , H J , Lens , J , Brunnekreef , G B , Festen-Spanjer , B , Dormans , T , de Bruin , D P , Lalisang , R C A , Vonk , S J J , Haan , M E , Fleuren , L M , Thoral , P J , Elbers , P W G & Bellomo , R 2022 , ' Rapid Evaluation of Coronavirus Illness Severity (RECOILS) in intensive care : Development and validation of a prognostic tool for in-hospital mortality ' , Acta Anaesthesiologica Scandinavica , vol. 66 , no. 1 , pp. 65-75 .
Electronic Resource
Fleuren , L M , Tonutti , M , Dutch ICU Data Sharing Against Covid-19 Collaborators , de Bruin , D P , Lalisang , R C A , Dam , T A , Gommers , D , Cremer , O L , Bosman , R J , Vonk , S J J , Fornasa , M , Machado , T , van der Meer , N J M , Rigter , S , Wils , E-J , Frenzel , T , Dongelmans , D A , de Jong , R , Peters , M , Kamps , M J A , Ramnarain , D , Nowitzky , R , Nooteboom , F G C A , de Ruijter , W , Urlings-Strop , L C , Smit , E G M , Mehagnoul-Schipper , D J , Dormans , T , de Jager , C P C , Hendriks , S H A , Oostdijk , E , Reidinga , A C , Festen-Spanjer , B , Brunnekreef , G , Cornet , A D , van den Tempel , W , Boelens , A D , Koetsier , P , Lens , J , Achterberg , S , Faber , H J , Karakus , A , Beukema , M , Entjes , R , de Jong , P , Houwert , T , Hovenkamp , H , Noorduijn Londono , R , Quintarelli , D , Scholtemeijer , M G & de Beer , A A 2021 , ' Risk factors for adverse outcomes during mechanical ventilation of 1152 COVID-19 patients : a multicenter machine learning study with highly granular data from the Dutch Data Warehouse ' , Intensive Care Medicine Experimental , vol. 9 , no. 1 , 32 .
Electronic Resource
Dam , T A , de Grooth , H-J , Klausch , T , Fleuren , L M , de Bruin , D P , Entjes , R , Rettig , T C D , Dongelmans , D A , Boelens , A D , Rigter , S , Hendriks , S H A , de Jong , R , Kamps , M J A , Peters , M , Karakus , A , Gommers , D , Ramnarain , D , Wils , E-J , Achterberg , S , Nowitzky , R , van den Tempel , W , de Jager , C P C , Nooteboom , F G C A , Oostdijk , E , Koetsier , P , Cornet , A D , Reidinga , A C , de Ruijter , W , Bosman , R J , Frenzel , T , Urlings-Strop , L C , de Jong , P , Smit , E G M , Cremer , O L , Mehagnoul-Schipper , D J , Faber , H J , Lens , J , Brunnekreef , G B , Festen-Spanjer , B , Dormans , T , Dijkstra , A , Simons , B , Rijkeboer , A A , Arbous , S , Aries , M , Beukema , M , Pretorius , D , van Raalte , R , van Tellingen , M , Gritters van den Oever , N C , Lalisang , R C A , Tonutti , M , Girbes , A R J , Hoogendoorn , M , Thoral , P J & Elbers , P W G 2021 , ' Some Patients Are More Equal Than Others : Variation in Ventilator Settings for Coronavirus Disease 2019 Acute Respiratory Distress Syndrome ' , Critical Care Explorations , vol. 3 , no. 10 , e0555 .
Electronic Resource
Fleuren , L M , Dam , T A , Dutch ICU Data Sharing Against Covid-19 Collaborators , Tonutti , M , de Bruin , D P , Lalisang , R C A , Gommers , D , Cremer , O L , Bosman , R J , Rigter , S , Wils , E J , Frenzel , T , Dongelmans , D A , de Jong , R , Peters , M , Kamps , M J A , Ramnarain , D , Nowitzky , R , Nooteboom , F G C A , de Ruijter , W , Urlings-Strop , L C , Smit , E G M , Mehagnoul-Schipper , D J , Dormans , T , de Jager , C P C , Hendriks , S H A , Achterberg , S , Oostdijk , E , Reidinga , A C , Festen-Spanjer , B , Brunnekreef , G B , Cornet , A D , van den Tempel , W , Boelens , A D , Koetsier , P , Lens , J , Faber , H J , Karakus , A , Entjes , R , de Jong , P , Rettig , T C D , Arbous , S , Vonk , S J J , Fornasa , M , Machado , T , Houwert , T , Hovenkamp , H , Noorduijn Londono , R , Quintarelli , D , Scholtemeijer , M G & de Beer , A A 2021 , ' Predictors for extubation failure in COVID-19 patients using a machine learning approach ' , Critical care (London, England) , vol. 25 , no. 1 , 448 , pp. 448 .
Electronic Resource
Fleuren , L M , Dam , T A , Tonutti , M , de Bruin , D P , Lalisang , R C A , Gommers , D , Cremer , O L , Bosman , R J , Rigter , S , Wils , E J , Frenzel , T , Dongelmans , D A , de Jong , R , Peters , M , Kamps , M J A , Ramnarain , D , Nowitzky , R , Nooteboom , F G C A , de Ruijter , W , Urlings-Strop , L C , Smit , E G M , Mehagnoul-Schipper , D J , Dormans , T , de Jager , C P C , Hendriks , S H A , Achterberg , S , Oostdijk , E , Reidinga , A C , Festen-Spanjer , B , Brunnekreef , G B , Cornet , A D , van den Tempel , W , Boelens , A D , Koetsier , P , Lens , J , Faber , H J , Karakus , A , Entjes , R , de Jong , P , Rettig , T C D , Arbous , S , Vonk , S J J , Fornasa , M , Machado , T , Houwert , T , Hovenkamp , H , Noorduijn-Londono , R , Quintarelli , D , Scholtemeijer , M G , de Beer , A A , Cina , G , Beudel , M , Herter , W E , Girbes , A R J , Hoogendoorn , M , Thoral , P J & Elbers , P W G 2021 , ' The Dutch Data Warehouse, a multicenter and full-admission electronic health records database for critically ill COVID-19 patients ' , Critical Care , vol. 25 , no. 1 , 304 .
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제한된 항목
[검색어] Nowitzky, Ralph O.
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학술DB(Database Provider)
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