Adrienne S. Kline

According to our database, Adrienne S. Kline authored at least 16 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Transportability of bacterial infection prediction models for critically ill patients.

Garrett Eickelberg, Lazaro Nelson Sanchez-Pinto, Adrienne S. Kline, Yuan Luo

J. Am. Medical Informatics Assoc., December, 2023

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.

Hanyin Wang, Yikuan Li, Meghan R. Hutch, Adrienne S. Kline, Sebastian Otero, Leena B. Mithal, Emily S. Miller, Andrew Naidech, Yuan Luo

J. Am. Medical Informatics Assoc., April, 2023

YOLO-Angio: An Algorithm for Coronary Anatomy Segmentation.

Tom Liu, Hui Lin, Aggelos K. Katsaggelos, Adrienne S. Kline

CoRR, 2023

StenUNet: Automatic Stenosis Detection from X-ray Coronary Angiography.

Hui Lin, Tom Liu, Aggelos K. Katsaggelos, Adrienne S. Kline

CoRR, 2023

Medical Image Deidentification, Cleaning and Compression Using Pylogik.

Adrienne S. Kline, Vinesh Appadurai, Yuan Luo, Sanjiv J. Shah

CoRR, 2023

Machine Learning Capability: A standardized metric using case difficulty with applications to individualized deployment of supervised machine learning.

Adrienne S. Kline, Joon Lee

CoRR, 2023

IRTCI: Item Response Theory for Categorical Imputation.

Adrienne S. Kline, Yuan Luo

CoRR, 2023

2022

Multimodal machine learning in precision health: A scoping review.

Adrienne S. Kline, Hanyin Wang, Yikuan Li, Saya R. Dennis, Meghan Hutch, Zhenxing Xu, Fei Wang, Feixiong Cheng, Yuan Luo

npj Digit. Medicine, 2022

Deep Learning Reveals Patterns of Diverse and Changing Sentiments Towards COVID-19 Vaccines Based on 11 Million Tweets.

Hanyin Wang, Meghan R. Hutch, Yikuan Li, Adrienne S. Kline, Sebastian Otero, Leena B. Mithal, Emily S. Miller, Andrew Naidech, Yuan Luo

CoRR, 2022

Multimodal Machine Learning in Precision Health.

Adrienne S. Kline, Hanyin Wang, Yikuan Li, Saya R. Dennis, Meghan Hutch, Zhenxing Xu, Fei Wang, Feixiong Cheng, Yuan Luo

CoRR, 2022

PsmPy: A Package for Retrospective Cohort Matching in Python.

Adrienne S. Kline, Yuan Luo

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

Digital public health surveillance: a systematic scoping review.

Zahra Shakeri Hossein Abad, Adrienne S. Kline, Madeena Sultana, Mohammad Noaeen, Elvira Nurmambetova, Filipe R. Lucini, Majed M. Al-Jefri, Joon Lee

npj Digit. Medicine, 2021

Item response theory as a feature selection and interpretation tool in the context of machine learning.

Adrienne S. Kline, Theresa J. B. Kline, Joon Lee

Medical Biol. Eng. Comput., 2021

Semi-Supervised Segmentation of Renal Pathology: An Alternative to Manual Segmentation and Input to Deep Learning Training.

Adrienne S. Kline, Hyun Jae Chung, Waleed Rahmani, Justin Chun

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Novel Feature Selection for Artificial Intelligence Using Item Response Theory for Mortality Prediction.

Adrienne S. Kline, Theresa J. B. Kline, Zahra Shakeri Hossein Abad, Joon Lee

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Evaluation of Machine Learning-based Patient Outcome Prediction Using Patient-specific Difficulty and Discrimination Indices.

Zahra Shakeri Hossein Abad, Adrienne S. Kline, Joon Lee

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020