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Adrienne S. Kline
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2020 – today
- 2024
- [j6]Yongfeng Tao, Minqiang Yang, Yushan Wu, Kevin Lee, Adrienne S. Kline
, Bin Hu:
Depressive semantic awareness from vlog facial and vocal streams via spatio-temporal transformer. Digit. Commun. Networks 10(3): 577-585 (2024) - 2023
- [j5]Hanyin Wang
Patterns of diverse and changing sentiments towards COVID-19 vaccines: a sentiment analysis study integrating 11 million tweets and surveillance data across over 180 countries. J. Am. Medical Informatics Assoc. 30(5): 923-931 (2023) - [j4]Garrett Eickelberg
Transportability of bacterial infection prediction models for critically ill patients. J. Am. Medical Informatics Assoc. 31(1): 98-108 (2023) - [i7]Adrienne S. Kline, Yuan Luo:
IRTCI: Item Response Theory for Categorical Imputation. CoRR abs/2302.04165 (2023) - [i6]Adrienne S. Kline, Joon Lee:
Machine Learning Capability: A standardized metric using case difficulty with applications to individualized deployment of supervised machine learning. CoRR abs/2302.04386 (2023) - [i5]Adrienne S. Kline, Vinesh Appadurai, Yuan Luo, Sanjiv J. Shah:
Medical Image Deidentification, Cleaning and Compression Using Pylogik. CoRR abs/2304.12322 (2023) - [i4]Hui Lin, Tom Liu, Aggelos K. Katsaggelos, Adrienne S. Kline:
StenUNet: Automatic Stenosis Detection from X-ray Coronary Angiography. CoRR abs/2310.14961 (2023) - [i3]Tom Liu, Hui Lin, Aggelos K. Katsaggelos, Adrienne S. Kline:
YOLO-Angio: An Algorithm for Coronary Anatomy Segmentation. CoRR abs/2310.15898 (2023) - 2022
- [j3]Adrienne S. Kline, Hanyin Wang, Yikuan Li, Saya R. Dennis, Meghan Hutch, Zhenxing Xu, Fei Wang
Multimodal machine learning in precision health: A scoping review. npj Digit. Medicine 5 (2022) - [c4]Adrienne S. Kline, Yuan Luo:
PsmPy: A Package for Retrospective Cohort Matching in Python. EMBC 2022: 1354-1357 - [i2]Adrienne S. Kline, Hanyin Wang, Yikuan Li
Multimodal Machine Learning in Precision Health. CoRR abs/2204.04777 (2022) - [i1]Hanyin Wang, Meghan R. Hutch, Yikuan Li, Adrienne S. Kline, Sebastian Otero, Leena B. Mithal, Emily S. Miller, Andrew Naidech, Yuan Luo:
Deep Learning Reveals Patterns of Diverse and Changing Sentiments Towards COVID-19 Vaccines Based on 11 Million Tweets. CoRR abs/2207.10641 (2022) - 2021
- [j2]Adrienne S. Kline
Item response theory as a feature selection and interpretation tool in the context of machine learning. Medical Biol. Eng. Comput. 59(2): 471-482 (2021) - [j1]Zahra Shakeri Hossein Abad
Digital public health surveillance: a systematic scoping review. npj Digit. Medicine 4 (2021) - [c3]Adrienne S. Kline, Hyun Jae Chung, Waleed Rahmani, Justin Chun:
Semi-Supervised Segmentation of Renal Pathology: An Alternative to Manual Segmentation and Input to Deep Learning Training. EMBC 2021: 2688-2691 - 2020
- [c2]Zahra Shakeri Hossein Abad
Evaluation of Machine Learning-based Patient Outcome Prediction Using Patient-specific Difficulty and Discrimination Indices. EMBC 2020: 5446-5449 - [c1]Adrienne S. Kline, Theresa J. B. Kline, Zahra Shakeri Hossein Abad
Novel Feature Selection for Artificial Intelligence Using Item Response Theory for Mortality Prediction. EMBC 2020: 5729-5732
Coauthor Index
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