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Thomas Jack (1973-)

Kinderarzt

Name	Thomas Jack
Zeit	1973- (Lebensdaten)
Ort	Deutschland
Akademischer Grad bzw. Titel	Dr. med. (Med. Hochsch. Hannover) (2005)
Beruf	Kinderarzt (charakteristischer Beruf)
Weitere Angaben	Habil. Fach Kinder- und Jugendmedizin an der Medizinischen Hochschule Hannover; Oberarzt in der Abteilung Pädiatrische Kardiologie und Intensivmedizin
Datensatztyp	Person
GND-Nummer	130468487
Datensatz-ID	130468487
Beteiligt an alle anzeigen An attention-based bidirectional LSTM-CNN architecture for the early prediction of sepsis Continuous monitoring of physiological data using the patient vital status fusion score in septic critical care patients Bewusstsein, Diagnostik und Therapie der intraabdominellen Hypertonie und des abdominellen Kompartmentsyndroms auf neonatologischen und pädiatrischen Intensivstationen : eine multizentrische Folge-Erhebung Diagnostic test accuracy in longitudinal study settings: theoretical approaches with use cases from clinical practice Prediction models for SIRS, sepsis and associated organ dysfunctions in paediatric intensive care: study protocol for a diagnostic test accuracy study Tracing the Progression of Sepsis in Critically Ill Children: Clinical Decision Support for Detection of Hematologic Dysfunction Developing a data driven approach for early detection of SIRS in pediatric intensive care using automatically labeled training data Development of a clinical decision support system for the detection of SIRS after surgery for congenital heart disease Prediction models for SIRS, sepsis and associated organ dysfunctions in paediatric intensive care: study protocol for a diagnostic test accuracy study Systematic review identifies deficiencies in reporting of diagnostic test accuracy among clinical decision support systems Towards an evolutionary open pediatric intensive care dataset in the ELISE project Tracing the Progression of Sepsis in Critically Ill Children: Clinical Decision Support for Detection of Hematologic Dysfunction Clinical evaluation of an interoperable clinical decision-support system for the detection of systemic inflammatory response syndrome in critically ill children Inflammation und Organdysfunktion in der pädiatrischen Intensivmedizin : klassische und neue Wege zur Evidenz Designing an openEHR-Based Pipeline for Extracting and Standardizing Unstructured Clinical Data Using Natural Language Processing Development and validation of a diagnostic model for early differentiation of sepsis and non-infectious SIRS in critically ill children - a data-driven approach using machine-learning algorithms Invasive Pilsinfektionen : Entwicklung und Evaluation molekulargenetischer Nachweisverfahren

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Thomas Jack (1973-)

An attention-based bidirectional LSTM-CNN architecture for the early prediction of sepsis

Continuous monitoring of physiological data using the patient vital status fusion score in septic critical care patients

Bewusstsein, Diagnostik und Therapie der intraabdominellen Hypertonie und des abdominellen Kompartmentsyndroms auf neonatologischen und pädiatrischen Intensivstationen : eine multizentrische Folge-Erhebung

Diagnostic test accuracy in longitudinal study settings: theoretical approaches with use cases from clinical practice

Prediction models for SIRS, sepsis and associated organ dysfunctions in paediatric intensive care: study protocol for a diagnostic test accuracy study

Tracing the Progression of Sepsis in Critically Ill Children: Clinical Decision Support for Detection of Hematologic Dysfunction

Developing a data driven approach for early detection of SIRS in pediatric intensive care using automatically labeled training data

Development of a clinical decision support system for the detection of SIRS after surgery for congenital heart disease

Prediction models for SIRS, sepsis and associated organ dysfunctions in paediatric intensive care: study protocol for a diagnostic test accuracy study

Systematic review identifies deficiencies in reporting of diagnostic test accuracy among clinical decision support systems

Towards an evolutionary open pediatric intensive care dataset in the ELISE project

Tracing the Progression of Sepsis in Critically Ill Children: Clinical Decision Support for Detection of Hematologic Dysfunction

Clinical evaluation of an interoperable clinical decision-support system for the detection of systemic inflammatory response syndrome in critically ill children

Inflammation und Organdysfunktion in der pädiatrischen Intensivmedizin : klassische und neue Wege zur Evidenz

Designing an openEHR-Based Pipeline for Extracting and Standardizing Unstructured Clinical Data Using Natural Language Processing

Development and validation of a diagnostic model for early differentiation of sepsis and non-infectious SIRS in critically ill children - a data-driven approach using machine-learning algorithms

Invasive Pilsinfektionen : Entwicklung und Evaluation molekulargenetischer Nachweisverfahren