[HTML][HTML] Predicting unplanned transfers to the intensive care unit: a machine learning approach leveraging diverse clinical elements

B Wellner, J Grand, E Canzone, M Coarr… - JMIR medical …, 2017 - medinform.jmir.org
… variables derived from the electronic health record affect the … Finally, we carried out a set of
ablation experiments comparing the … Our primary evaluation metric is the area under the ROC …

[HTML][HTML] Improving glycemic control in critically ill patients: personalized care to mimic the endocrine pancreas

JG Chase, T Desaive, J Bohe, M Cnop, C De Block… - Critical Care, 2018 - Springer
… To develop a validated means to design GC methods to fit … are paper-based or computerized
clinical protocols, typically … LOGIC-I trial [42] compared standard care at a unit with a good …

[HTML][HTML] HiGHmed–an open platform approach to enhance care and research across institutional boundaries

B Haarbrandt, B Schreiweis, S Rey… - Methods of …, 2018 - thieme-connect.com
… these models can be reliably processed and computed in local and … They also help to express
local differences in the levels of … After successful validation, the data is finally stored in the …

[HTML][HTML] Model-informed precision dosing of vancomycin in hospitalized children: implementation and adoption at an academic children's hospital

A Frymoyer, HT Schwenk, Y Zorn, L Bio… - Frontiers in …, 2020 - frontiersin.org
… Integration within the electronic health record (EHR) and … phase in the neonatal
intensive care unit, implementation of … For comparison, the number of vancomycin patient-courses …

[HTML][HTML] ECG monitoring systems: Review, architecture, processes, and key challenges

MA Serhani, H T. El Kassabi, H Ismail, A Nujum Navaz - Sensors, 2020 - mdpi.com
… developed either for an intensive care unit (ICU) clinical … heart rate sensor and compared
with a commercially available and … and standard Internet methods for authentication and secure …

[HTML][HTML] Scalable and accurate deep learning with electronic health records

A Rajkomar, E Oren, K Chen, AM Dai, N Hajaj… - NPJ digital …, 2018 - nature.com
… We validated our approach using de-identified EHR data … In the current study, we caution
that the differences in AUROC … sign measurements in an intensive care unit vs outpatient clinic), …

[HTML][HTML] Current Applications of Artificial Intelligence in the Neonatal Intensive Care Unit

D Rallis, M Baltogianni, K Kapetaniou, V Giapros - BioMedInformatics, 2024 - mdpi.com
… constructed for the evaluation of the neurodevelopmental … , signal, and electronic health
record processing, evaluate the … and reported better results compared to other sophisticated …

Sepsis prediction in intensive care unit based on genetic feature optimization and stacked deep ensemble learning

N El-Rashidy, T Abuhmed, L Alarabi… - Neural Computing and …, 2022 - Springer
intensive care medicine (ESICM) [36], a task force compared … recorded waveform or discrete
electronic health data. Ghosh … The ranking methods are based on certain evaluation criteria

[HTML][HTML] Design and implementation of an automatic nursing assessment system based on CDSS technology

L Dai, Z Wu, X Pan, D Zheng, M Kang, M Zhou… - International Journal of …, 2024 - Elsevier
… , evaluation criteria, and voting roles for selecting electronic … the healthcare quality through
online questionnaire surveys. We … As a result, we were only able to compare the assessment …

Internet of Health Things: Toward intelligent vital signs monitoring in hospital wards

CA Da Costa, CF Pasluosta, B Eskofier… - Artificial intelligence in …, 2018 - Elsevier
… forming part of patients’ electronic health records, and is … methods (ie, SVM, NN, and decision
trees) were compared by Kim and colleagues for mortality prediction in intensive care units