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1
Predictive Modelling of Critical Vital Signs in ICU Patient..:
, In:
2024 3rd International Conference for Innovation in Technology (INOCON)
,
S, Senthil Pandi
;
T, Kumaragurubaran
;
S R, Vijay Raj
. - p. 1-6 , 2024
Link:
https://doi.org/10.1109/INOCON60754.2024.10512042
RT T1 <cTitle>2024 3rd International Conference for Innovation in Technology (INOCON)</cTitle>: T1 <Title>Predictive Modelling of Critical Vital Signs in ICU Patients by Machine Learning: An Early Warning System for Improved Patient Outcomes</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10512042&Exemplar=1&LAN=DE A1 S, Senthil Pandi A1 T, Kumaragurubaran A1 S R, Vijay Raj A1 R, Vigneshwaran YR 2024 K1 Support vector machines K1 Heart rate K1 Recurrent neural networks K1 Medical services K1 Machine learning K1 Predictive models K1 Alarm systems K1 Decision tree K1 Support Vector Machine (SVM) K1 Recurrent Neural Network (RNN) K1 and Long Short-Term Memory (LSTM) SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/INOCON60754.2024.10512042 DO https://doi.org/10.1109/INOCON60754.2024.10512042 SF ELIB - SuUB Bremen
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