Tezcan Baslanti
According to our database1,
Tezcan Baslanti
authored at least 31 papers
between 2017 and 2024.
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Bibliography
2024
A multi-cohort study on prediction of acute brain dysfunction states using selective state space models.
CoRR, 2024
Leveraging Computer Vision in the Intensive Care Unit (ICU) for Examining Visitation and Mobility.
CoRR, 2024
Temporal Cross-Attention for Dynamic Embedding and Tokenization of Multimodal Electronic Health Records.
CoRR, 2024
Acute kidney injury prediction for non-critical care patients: a retrospective external and internal validation study.
CoRR, 2024
2023
The Potential of Wearable Sensors for Assessing Patient Acuity in Intensive Care Unit (ICU).
CoRR, 2023
APRICOT: Acuity Prediction in Intensive Care Unit (ICU): Predicting Stability, Transitions, and Life-Sustaining Therapies.
CoRR, 2023
Detecting Visual Cues in the Intensive Care Unit and Association with Patient Clinical Status.
CoRR, 2023
Identifying acute illness phenotypes via deep temporal interpolation and clustering network on physiologic signatures.
CoRR, 2023
Clinical Courses of Acute Kidney Injury in Hospitalized Patients: A Multistate Analysis.
CoRR, 2023
Computable Phenotypes to Characterize Changing Patient Brain Dysfunction in the Intensive Care Unit.
CoRR, 2023
Diurnal Pain Classification in Critically Ill Patients using Machine Learning on Accelerometry and Analgesic Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Dynamic Delirium Prediction in the Intensive Care Unit using Machine Learning on Electronic Health Records.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023
2022
Frontiers Artif. Intell., 2022
Multi-dimensional patient acuity estimation with longitudinal EHR tokenization and flexible transformer networks.
Frontiers Digit. Health, 2022
2021
Deep Multi-Modal Transfer Learning for Augmented Patient Acuity Assessment in the Intelligent ICU.
Frontiers Digit. Health, 2021
2020
Development of Computable Phenotype to Identify and Characterize Transitions in Acuity Status in Intensive Care Unit.
CoRR, 2020
CoRR, 2020
Interpretable Multi-Task Deep Neural Networks for Dynamic Predictions of Postoperative Complications.
CoRR, 2020
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
Added Value of Intraoperative Data for Predicting Postoperative Complications: Development and Validation of a MySurgeryRisk Extension.
CoRR, 2019
The DREAMS Project: Improving the Intensive Care Patient Experience with Virtual Reality.
CoRR, 2019
Developing a Patient-Centered Virtual Reality Healthcare System To Prevent the Onset of Delirium in ICU Patients.
Proceedings of the 7th IEEE International Conference on Serious Games and Applications for Health, 2019
2018
Improved Predictive Models for Acute Kidney Injury with IDEAs: Intraoperative Data Embedded Analytics.
CoRR, 2018
The Intelligent ICU Pilot Study: Using Artificial Intelligence Technology for Autonomous Patient Monitoring.
CoRR, 2018
Comparing Clinical Judgment with MySurgeryRisk Algorithm for Preoperative Risk Assessment: A Pilot Study.
CoRR, 2018
CoRR, 2018
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018
2017
Intelligent Perioperative System: Towards Real-Time Big Data Analytics in Surgery Risk Assessment.
Proceedings of the 15th IEEE Intl Conf on Dependable, 2017
Delirium Prediction using Machine Learning Models on Predictive Electronic Health Records Data.
Proceedings of the 17th IEEE International Conference on Bioinformatics and Bioengineering, 2017