Eugene Laksana
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View article: Ventilator Weaning and Terminal Extubation: Withdrawal of Life-Sustaining Therapy in Children. Secondary Analysis of the Death One Hour After Terminal Extubation Study
Ventilator Weaning and Terminal Extubation: Withdrawal of Life-Sustaining Therapy in Children. Secondary Analysis of the Death One Hour After Terminal Extubation Study Open
OBJECTIVE: Terminal extubation (TE) and terminal weaning (TW) during withdrawal of life-sustaining therapies (WLSTs) have been described and defined in adults. The recent Death One Hour After Terminal Extubation study aimed to validate a m…
View article: A novel application of spectrograms with machine learning can detect patient ventilator dyssynchrony
A novel application of spectrograms with machine learning can detect patient ventilator dyssynchrony Open
Patients in intensive care units are frequently supported by mechanical ventilation. There is increasing awareness of patient-ventilator dyssynchrony (PVD), a mismatch between patient respiratory effort and assistance provided by the venti…
View article: Narrowing the gap: expected versus deployment performance
Narrowing the gap: expected versus deployment performance Open
Objectives Successful model development requires both an accurate a priori understanding of future performance and high performance on deployment. Optimistic estimations of model performance that are unrealized in real-world clinical setti…
View article: Development of a deep learning model that predicts Bi-level positive airway pressure failure
Development of a deep learning model that predicts Bi-level positive airway pressure failure Open
View article: Continuous Prediction of Mortality in the PICU: A Recurrent Neural Network Model in a Single-Center Dataset*
Continuous Prediction of Mortality in the PICU: A Recurrent Neural Network Model in a Single-Center Dataset* Open
OBJECTIVES: Develop, as a proof of concept, a recurrent neural network model using electronic medical records data capable of continuously assessing an individual child’s risk of mortality throughout their ICU stay as a proxy measure of se…
View article: Improving Recurrent Neural Network Responsiveness to Acute Clinical Events
Improving Recurrent Neural Network Responsiveness to Acute Clinical Events Open
Predictive models in acute care settings must be able to immediately recognize precipitous changes in a patient's status when presented with data reflecting such changes. Recurrent neural networks (RNNs) have become common for training and…
View article: Improving Recurrent Neural Network Responsiveness to Acute Clinical\n Events
Improving Recurrent Neural Network Responsiveness to Acute Clinical\n Events Open
Predictive models in acute care settings must be able to immediately\nrecognize precipitous changes in a patient's status when presented with data\nreflecting such changes. Recurrent neural networks (RNNs) have become common\nfor training …
View article: The Impact of Extraneous Variables on the Performance of Recurrent Neural Network Models in Clinical Tasks
The Impact of Extraneous Variables on the Performance of Recurrent Neural Network Models in Clinical Tasks Open
Electronic Medical Records (EMR) are a rich source of patient information, including measurements reflecting physiologic signs and administered therapies. Identifying which variables are useful in predicting clinical outcomes can be challe…
View article: Affect-LM: A Neural Language Model for Customizable Affective Text Generation
Affect-LM: A Neural Language Model for Customizable Affective Text Generation Open
Human verbal communication includes affective messages which are conveyed through use of emotionally colored words. There has been a lot of research in this direction but the problem of integrating state-of-the-art neural language models w…
View article: Affect-LM: A Neural Language Model for Customizable Affective Text Generation
Affect-LM: A Neural Language Model for Customizable Affective Text Generation Open
Human verbal communication includes affective messages which are conveyed through use of emotionally colored words. There has been a lot of research effort in this direction but the problem of integrating state-of-the-art neural language m…
View article: Learning Representations of Affect from Speech
Learning Representations of Affect from Speech Open
There has been a lot of prior work on representation learning for speech recognition applications, but not much emphasis has been given to an investigation of effective representations of affect from speech, where the paralinguistic elemen…