OBJECTIVE: As data science and artificial intelligence continue to rapidly gain traction, the publication of freely available ICU datasets has become invaluable to propel data-driven clinical research. In this guide for clinicians and researchers, we aim to: 1) systematically search and identify all publicly available adult clinical ICU datasets, 2) compare their characteristics, data quality, and richness and critically appraise their strengths and weaknesses, and 3) provide researchers with suggestions, which datasets are appropriate for answering their clinical question. DATA SOURCES: A systematic search was performed in Pubmed, ArXiv, MedRxiv, and BioRxiv. STUDY SELECTION: We selected all studies that reported on publicly available adul...
BACKGROUND: long-lasting shared research databases are an important source of epidemiological inform...
High resolution clinical databases from electronic health records are increasingly being used in the...
Abstract Background The Intensive Care Unit (ICU) is ...
As data science and artificial intelligence continue to rapidly gain traction, the publication of fr...
Critical care patients are monitored closely through the course of their illness. As a result of thi...
Objective: We sought to develop an intensive care unit research database applying automated techniqu...
In the present research, different data exploration methods were applied to electronic ICU (eICU) Co...
Objective: With important technological advances in healthcare delivery and the internet, clinicians...
Purpose: Due to the increasing demand for intensive care unit (ICU) treatment, and to improve qualit...
High resolution clinical databases from electronic health records are increasingly being used in the...
The critical state of intensive care unit (ICU) patients demands close monitoring, and as a result a...
OBJECTIVES: Critical care medicine is a natural environment for machine learning approaches to impro...
Contains fulltext : 238831.pdf (Publisher’s version ) (Open Access)BACKGROUND: The...
This thesis discussed how advanced analytics and real-world evidence can be utilized to improve pati...
BACKGROUND: Failure to promptly identify deterioration in hospitalised patients is associated with d...
BACKGROUND: long-lasting shared research databases are an important source of epidemiological inform...
High resolution clinical databases from electronic health records are increasingly being used in the...
Abstract Background The Intensive Care Unit (ICU) is ...
As data science and artificial intelligence continue to rapidly gain traction, the publication of fr...
Critical care patients are monitored closely through the course of their illness. As a result of thi...
Objective: We sought to develop an intensive care unit research database applying automated techniqu...
In the present research, different data exploration methods were applied to electronic ICU (eICU) Co...
Objective: With important technological advances in healthcare delivery and the internet, clinicians...
Purpose: Due to the increasing demand for intensive care unit (ICU) treatment, and to improve qualit...
High resolution clinical databases from electronic health records are increasingly being used in the...
The critical state of intensive care unit (ICU) patients demands close monitoring, and as a result a...
OBJECTIVES: Critical care medicine is a natural environment for machine learning approaches to impro...
Contains fulltext : 238831.pdf (Publisher’s version ) (Open Access)BACKGROUND: The...
This thesis discussed how advanced analytics and real-world evidence can be utilized to improve pati...
BACKGROUND: Failure to promptly identify deterioration in hospitalised patients is associated with d...
BACKGROUND: long-lasting shared research databases are an important source of epidemiological inform...
High resolution clinical databases from electronic health records are increasingly being used in the...
Abstract Background The Intensive Care Unit (ICU) is ...