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Isabel Chien

Showing results (1-10 of 8) with videos related to

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Journal of Palliative Medicine|September 26, 2018
Needle in a Haystack: Natural Language Processing to Identify Serious IllnessBrooks Udelsman, Isabel Chien, Kei Ouchi, et al.
Journal of Palliative Medicine|October 18, 2018
Natural Language Processing to Assess End-of-Life Quality Indicators in Cancer Patients Receiving Palliative SurgeryCharlotta Lindvall, Elizabeth J Lilley, Sophia N Zupanc, et al.
Palliative Medicine|November 15, 2018
Deep learning algorithms to identify documentation of serious illness conversations during intensive care unit admissionsAlex Chan, Isabel Chien, Edward Moseley, et al.
JAMA Network Open|July 18, 2020
A Machine Learning Approach to Understanding Patterns of Engagement With Internet-Delivered Mental Health InterventionsIsabel Chien, Angel Enrique, Jorge Palacios, et al.
Journal of Pain and Symptom Management|June 26, 2020
Deep Natural Language Processing to Identify Symptom Documentation in Clinical Notes for Patients With Heart Failure Undergoing Cardiac Resynchronization TherapyRichard E Leiter, Enrico Santus, Zhijing Jin, et al.
Plos One|November 27, 2023
Deep learning for the prediction of clinical outcomes in internet-delivered CBT for depression and anxietyNiranjani Prasad, Isabel Chien, Tim Regan, et al.
Journal of Translational Medicine|November 23, 2019
Mining multi-site clinical data to develop machine learning MRI biomarkers: application to neonatal hypoxic ischemic encephalopathyRebecca J Weiss, Sara V Bates, Ya'nan Song, et al.
Science Advances|November 14, 2020
Plasma-derived extracellular vesicle analysis and deconvolution enable prediction and tracking of melanoma checkpoint blockade outcomeAlvin Shi, Gyulnara G Kasumova, William A Michaud, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Journal of Palliative Medicine|September 26, 2018
Needle in a Haystack: Natural Language Processing to Identify Serious IllnessBrooks Udelsman, Isabel Chien, Kei Ouchi, et al.
Journal of Palliative Medicine|October 18, 2018
Natural Language Processing to Assess End-of-Life Quality Indicators in Cancer Patients Receiving Palliative SurgeryCharlotta Lindvall, Elizabeth J Lilley, Sophia N Zupanc, et al.
Palliative Medicine|November 15, 2018
Deep learning algorithms to identify documentation of serious illness conversations during intensive care unit admissionsAlex Chan, Isabel Chien, Edward Moseley, et al.
JAMA Network Open|July 18, 2020
A Machine Learning Approach to Understanding Patterns of Engagement With Internet-Delivered Mental Health InterventionsIsabel Chien, Angel Enrique, Jorge Palacios, et al.
Journal of Pain and Symptom Management|June 26, 2020
Deep Natural Language Processing to Identify Symptom Documentation in Clinical Notes for Patients With Heart Failure Undergoing Cardiac Resynchronization TherapyRichard E Leiter, Enrico Santus, Zhijing Jin, et al.
Plos One|November 27, 2023
Deep learning for the prediction of clinical outcomes in internet-delivered CBT for depression and anxietyNiranjani Prasad, Isabel Chien, Tim Regan, et al.
Journal of Translational Medicine|November 23, 2019
Mining multi-site clinical data to develop machine learning MRI biomarkers: application to neonatal hypoxic ischemic encephalopathyRebecca J Weiss, Sara V Bates, Ya'nan Song, et al.
Science Advances|November 14, 2020
Plasma-derived extracellular vesicle analysis and deconvolution enable prediction and tracking of melanoma checkpoint blockade outcomeAlvin Shi, Gyulnara G Kasumova, William A Michaud, et al.
Pageof 1