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Temporal Trends in Critical Care Outcomes in U.S. Minority-Serving Hospitals

American journal of respiratory and critical care medicine, 2020-03, Vol.201 (6), p.681-687

2020

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Use of Do-Not-Resuscitate Orders for Critically Ill Patients with ESKD

Journal of the American Society of Nephrology, 2020-10, Vol.31 (10), p.2393-2399

2020

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Developing well-calibrated illness severity scores for decision support in the critically ill

NPJ digital medicine, 2019-12, Vol.2 (1), p.76-76, Article 76

2019

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A Large-Scale Multicenter Retrospective Study on Nephrotoxicity Associated With Empiric Broad-Spectrum Antibiotics in Critically Ill Patients

Chest, 2023-08, Vol.164 (2), p.355-368

2023

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Predictors of mechanical ventilation and mortality in critically ill patients with COVID-19 pneumonia

Medicina intensiva, 2024-01, Vol.48 (1), p.3-13

2024

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Operationalising fairness in medical algorithms

BMJ health & care informatics, 2022-06, Vol.29 (1), p.e100617

2022

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High resolution data modifies intensive care unit dialysis outcome predictions as compared with low resolution administrative data set

PLOS digital health, 2022-10, Vol.1 (10), p.e0000124-e0000124

2022

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Big data and machine learning in critical care: Opportunities for collaborative research

Medicina intensiva, 2019-01, Vol.43 (1), p.52-57

2019

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First Brazilian datathon in critical care

Revista Brasileira de terapia intensiva, 2018-01, Vol.30 (1), p.6-8

2018

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Diversity and inclusion: A hidden additional benefit of Open Data

PLOS digital health, 2024-07, Vol.3 (7), p.e0000486

2024

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BRSET: A Brazilian Multilabel Ophthalmological Dataset of Retina Fundus Photos

PLOS digital health, 2024-07, Vol.3 (7), p.e0000454

2024

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From "wading through treacle" to "making haste slowly": A comprehensive yet parsimonious model of drivers and challenges to implementing patient data sharing projects based on an EPaCCS evaluation and four pre-existing literature reviews

PLOS digital health, 2024-04, Vol.3 (4), p.e0000470-e0000470

2024

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Challenges in the maintenance of an open hospital-based cancer registry system in a low-to-middle-income country (LMIC): 2017-2022 experience

PLOS digital health, 2024-01, Vol.3 (1), p.e0000328-e0000328

2024

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Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

Nature medicine, 2022-05, Vol.28 (5), p.924-933

2022

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Developing and Validating Multi-Modal Models for Mortality Prediction in COVID-19 Patients: a Multi-center Retrospective Study

Journal of digital imaging, 2022-12, Vol.35 (6), p.1514-1529

2022

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Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

BMJ (Online), 2022-05, Vol.377, p.e070904

2022

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Assessing team effectiveness and affective learning in a datathon

International journal of medical informatics (Shannon, Ireland), 2018-04, Vol.112, p.40-44

2018

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The open data revolution: Enhancing healthcare in intensive care units

Medicina intensiva, 2024-07, Vol.48 (7), p.421-423

2024

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Predictors of mechanical ventilation and mortality in critically ill patients with COVID-19 pneumonia

Medicina intensiva, 2024-01, Vol.48 (1), p.3-13

2024

Volltextzugriff (PDF)

Publisher Correction: Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

Nature medicine, 2022-10, Vol.28 (10), p.2218-2218

2022

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High resolution data modifies intensive care unit dialysis outcome predictions as compared with low resolution administrative data set

PLOS digital health, 2022-10, Vol.1 (10)

2022

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The open data revolution: Enhancing healthcare in intensive care units

Medicina intensiva, 2024-07, Vol.48 (7), p.421-423

2024

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Primeiro datathon brasileiro em terapia intensiva

Revista Brasileira de Terapia Intensiva, 2018-03, Vol.30 (1), p.6-8

2018

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LARGE-SCALE, MULTICENTER, RETROSPECTIVE STUDY ON NEPHROTOXICITY ASSOCIATED WITH EMPIRIC, BROAD-SPECTRUM ANTIBIOTICS IN CRITICALLY ILL PATIENTS

Chest, 2022-10, Vol.162 (4), p.A2624-A2625

2022

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Temporal Trends in Critical Care Outcomes in U.S. Minority-Serving Hospitals

Use of Do-Not-Resuscitate Orders for Critically Ill Patients with ESKD

Developing well-calibrated illness severity scores for decision support in the critically ill

A Large-Scale Multicenter Retrospective Study on Nephrotoxicity Associated With Empiric Broad-Spectrum Antibiotics in Critically Ill Patients

Predictors of mechanical ventilation and mortality in critically ill patients with COVID-19 pneumonia

Operationalising fairness in medical algorithms

High resolution data modifies intensive care unit dialysis outcome predictions as compared with low resolution administrative data set

Big data and machine learning in critical care: Opportunities for collaborative research

First Brazilian datathon in critical care

Diversity and inclusion: A hidden additional benefit of Open Data

BRSET: A Brazilian Multilabel Ophthalmological Dataset of Retina Fundus Photos

Systematic data quality assessment of electronic health record data to evaluate study-specific fitness: Report from the PRESERVE research study

From "wading through treacle" to "making haste slowly": A comprehensive yet parsimonious model of drivers and challenges to implementing patient data sharing projects based on an EPaCCS evaluation and four pre-existing literature reviews

Challenges in the maintenance of an open hospital-based cancer registry system in a low-to-middle-income country (LMIC): 2017-2022 experience

Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

Developing and Validating Multi-Modal Models for Mortality Prediction in COVID-19 Patients: a Multi-center Retrospective Study

Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

Assessing team effectiveness and affective learning in a datathon

The open data revolution: Enhancing healthcare in intensive care units

Predictors of mechanical ventilation and mortality in critically ill patients with COVID-19 pneumonia

Publisher Correction: Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

High resolution data modifies intensive care unit dialysis outcome predictions as compared with low resolution administrative data set

The open data revolution: Enhancing healthcare in intensive care units

Primeiro datathon brasileiro em terapia intensiva

LARGE-SCALE, MULTICENTER, RETROSPECTIVE STUDY ON NEPHROTOXICITY ASSOCIATED WITH EMPIRIC, BROAD-SPECTRUM ANTIBIOTICS IN CRITICALLY ILL PATIENTS

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