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JMIR Formative Research|November 24, 2025
Evaluating Causal and Noncausal Text Messages to Promote Physical Activity in Adults: Randomized Pilot StudyElena Korshakova, Samantha KleinbergJMIR Formative Research|August 23, 2022
Health Information Sourcing and Health Knowledge Quality: Repeated Cross-sectional SurveyElena Korshakova, Jessecae K Marsh, Samantha KleinbergJournal of Biomedical Informatics|September 2, 2016
Using uncertain data from body-worn sensors to gain insight into type 1 diabetesNathaniel Heintzman, Samantha KleinbergJournal of Biomedical Informatics|July 26, 2011
A review of causal inference for biomedical informaticsSamantha Kleinberg, George HripcsakIEEE Transactions on Bio-Medical Engineering|November 8, 2024
Personalized Blood Glucose Forecasting From Limited CGM Data Using Incrementally Retrained LSTMYiheng Shen, Samantha KleinbergAMIA ... Annual Symposium Proceedings. AMIA Symposium|February 20, 2014
Lessons learned in replicating data-driven experiments in multiple medical systems and patient populationsSamantha Kleinberg, Noémie ElhadadProceedings of Machine Learning Research|March 4, 2020
Using Domain Knowledge to Overcome Latent Variables in Causal Inference from Time SeriesMin Zheng, Samantha KleinbergProceedings of Machine Learning Research|January 24, 2022
Comparing Machine Learning Techniques for Blood Glucose Forecasting Using Free-living and Patient Generated DataHadia Hameed, Samantha KleinbergCognitive Research: Principles and Implications|August 30, 2023
Less is more: information needs, information wants, and what makes causal models usefulSamantha Kleinberg, Jessecae K MarshProceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence|April 20, 2019
Causal Explanation Under Indeterminism: A Sampling ApproachChristopher A Merck, Samantha KleinbergPageof 4