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March 16, 2021
Sensors (Basel). 2021 Feb 21;21(4):1495. doi: 10.3390/s21041495. ABSTRACT Infrared thermography for camera-based skin temperature measurement is increasingly used in medical practice, e.g., to detect fevers and infections, such as recently in the COVID-19 pandemic. This contactless method is a promising technology to continuously monitor the vital signs of patients in clinical environments. In this study,...
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PLoS One. 2020 Dec 17;15(12):e0242878. doi: 10.1371/journal.pone.0242878. eCollection 2020. ABSTRACT BACKGROUND: A powerful risk model allows clinicians, at the bedside, to ensure the early identification of and decision-making for patients showing signs of developing physiological instability during treatment. The aim of this study was to enhance the identification of patients at risk for deterioration through...
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Lancet Digit Health. 2020 Apr;2(4):e179-e191. doi: 10.1016/S2589-7500(20)30018-2. Epub 2020 Mar 12. ABSTRACT BACKGROUND: Many mortality prediction models have been developed for patients in intensive care units (ICUs); most are based on data available at ICU admission. We investigated whether machine learning methods using analyses of time-series data improved mortality prognostication for patients in the ICU...
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Br J Anaesth. 2021 Feb;126(2):404-414. doi: 10.1016/j.bja.2020.09.044. Epub 2020 Nov 17. ABSTRACT BACKGROUND: We examined whether a context and process-sensitive ‘intelligent’ checklist increases compliance with best practice compared with a paper checklist during intensive care ward rounds. METHODS: We conducted a single-centre prospective before-and-after mixed-method trial in a 35 bed medical and surgical ICU. Daily...
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J Med Internet Res. 2020 Oct 28;22(10):e21801. doi: 10.2196/21801. ABSTRACT BACKGROUND: Many factors involved in the onset and clinical course of the ongoing COVID-19 pandemic are still unknown. Although big data analytics and artificial intelligence are widely used in the realms of health and medicine, researchers are only beginning to use these tools to explore...
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Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:5442-5445. doi: 10.1109/EMBC44109.2020.9175889. ABSTRACT Predicting Cardiovascular Length of stay based hospitalization at the time of patients’ admitting to the coronary care unit (CCU) or (cardiac intensive care units CICU) is deemed as a challenging task to hospital management systems globally. Recently, few studies examined the length...
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BMC Med Inform Decis Mak. 2020 Oct 8;20(1):257. doi: 10.1186/s12911-020-01276-x. ABSTRACT BACKGROUND: There is an increasing interest in clinical prediction tools that can achieve high prediction accuracy and provide explanations of the factors leading to increased risk of adverse outcomes. However, approaches to explaining complex machine learning (ML) models are rarely informed by end-user needs...
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BMC Med Inform Decis Mak. 2020 Oct 2;20(1):251. doi: 10.1186/s12911-020-01271-2. ABSTRACT BACKGROUND: Early and accurate identification of sepsis patients with high risk of in-hospital death can help physicians in intensive care units (ICUs) make optimal clinical decisions. This study aimed to develop machine learning-based tools to predict the risk of hospital death of patients with...
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J Med Internet Res. 2020 Sep 25;22(9):e20268. doi: 10.2196/20268. ABSTRACT BACKGROUND: Supervised machine learning (ML) is being featured in the health care literature with study results frequently reported using metrics such as accuracy, sensitivity, specificity, recall, or F1 score. Although each metric provides a different perspective on the performance, they remain to be overall measures...
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J Med Internet Res. 2020 Oct 6;22(10):e21439. doi: 10.2196/21439. ABSTRACT BACKGROUND: COVID-19 is a rapidly emerging respiratory disease caused by SARS-CoV-2. Due to the rapid human-to-human transmission of SARS-CoV-2, many health care systems are at risk of exceeding their health care capacities, in particular in terms of SARS-CoV-2 tests, hospital and intensive care unit (ICU)...
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