[HTML][HTML] … and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient …

HC Thorsen-Meyer, AB Nielsen, AP Nielsen… - … Lancet Digital Health, 2020 - thelancet.com
evaluation of the patient to evaluation of the intensive carearchitecture were chosen using
a five-fold cross-validation on … For comparison, we also show how the variables in the original …

Machine learning for real-time prediction of complications in critical care: a retrospective study

A Meyer, D Zverinski, B Pfahringer… - The Lancet …, 2018 - thelancet.com
validation study on intensive care cases from another … electronic health record data from a
German tertiary care centre … a specific intensive care unit, striking differences in care practice …

[HTML][HTML] A machine learning model for early prediction and detection of sepsis in intensive care unit patients

YV Singh, P Singh, S Khan… - Journal of Healthcare …, 2022 - ncbi.nlm.nih.gov
… in the intensive care unit with minimal electronic health … in comparison with state-of-the-art
methods discussed in the literature review. In this section, we will also introduce the evaluation

Actigraphy to evaluate sleep in the intensive care unit. A systematic review

KE Schwab, B Ronish, DM Needham… - Annals of the …, 2018 - atsjournals.org
… and the use of a computerized search builder program (21). … of a sleep scoring method
that used an algorithm validated in … as compared with guideline-based recommendations for …

Prediction of acute kidney injury with a machine learning algorithm using electronic health record data

H Mohamadlou, A Lynn-Palevsky… - … of kidney health …, 2018 - journals.sagepub.com
… (KDIGO) guidelines. We compared the algorithm’s 3-fold cross-validation performance to
the … populations such as intensive care unit (ICU), postcardiac surgical, or elderly patients. …

[HTML][HTML] Analysis and prediction of unplanned intensive care unit readmission using recurrent neural networks with long short-term memory

YW Lin, Y Zhou, F Faghri, MJ Shaw, RH Campbell - PloS one, 2019 - journals.plos.org
… Finally, we test, validate, and explain the proposed methods … For the purpose of comparison
to the traditional methods, we … probability p nm , and computed the maximum probability w n …

Prediction of early unplanned intensive care unit readmission in a UK tertiary care hospital: a cross-sectional machine learning approach

T Desautels, R Das, J Calvert, M Trivedi, C Summers… - BMJ open, 2017 - bmjopen.bmj.com
… We compared this method with our implementation of SWIFT,18 which is … . Computerized
prediction of intensive care unit discharge after cardiac surgery: development and validation of …

[HTML][HTML] Ventilator-associated pneumonia: new definitions

MC Spalding, MW Cripps, CT Minshall - Critical care clinics, 2017 - ncbi.nlm.nih.gov
… nosocomial infections in the intensive care unit (ICU) affecting … from data available in the
electronic medical record (EMR) in … evaluation compared with manual extraction. The automated …

Predicting pressure injury in critical care patients: a machine-learning model

J Alderden, GA Pepper, A Wilson, JD Whitney… - … Journal of Critical Care, 2018 - AACN
… We validated the data extracted from the EHRs by manually … clinicians’ view of the electronic
health record for 30 randomly … because of population-related differences (eg, patients in our …

[HTML][HTML] Smart medical information technology for healthcare (SMITH)

A Winter, S Stäubert, D Ammon, S Aiche… - Methods of …, 2018 - thieme-connect.com
… ) focusses on patients in Intensive Care Units (ICU) with the … hospital-wide electronic medical
record-based computerized … , for describing and comparing architectures and operations …