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A review of causal inference for biomedical informatics

Journal of biomedical informatics, 2011-12, Vol.44 (6), p.1102-1112

2011

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Nonconvulsive seizures after subarachnoid hemorrhage: Multimodal detection and outcomes

Annals of neurology, 2013-07, Vol.74 (1), p.53-64

2013

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Less is more: information needs, information wants, and what makes causal models useful

Cognitive Research: Principles and Implications, 2023-08, Vol.8 (1), p.57-57, Article 57

2023

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Health Information Sourcing and Health Knowledge Quality: Repeated Cross-sectional Survey

JMIR formative research, 2022-09, Vol.6 (9), p.e39274-e39274

2022

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How causal information affects decisions

Cognitive research: principles and implications, 2020-02, Vol.5 (1), p.6-6, Article 6

2020

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Machine learning modeling practices to support the principles of AI and ethics in nutrition research

Nutrition & diabetes, 2022-12, Vol.12 (1), p.48-48, Article 48

2022

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Using Momentary Assessment and Machine Learning to Identify Barriers to Self-management in Type 1 Diabetes: Observational Study

JMIR mHealth and uHealth, 2022-03, Vol.10 (3), p.e21959-e21959

2022

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Causal Structure of Brain Physiology after Brain Injury from Subarachnoid Hemorrhage

PloS one, 2016-04, Vol.11 (4), p.e0149878-e0149878

2016

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Automated meal detection from continuous glucose monitor data through simulation and explanation

Journal of the American Medical Informatics Association : JAMIA, 2019-12, Vol.26 (12), p.1592-1599

2019

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On the use and abuse of Hill’s viewpoints on causality

Observational studies, 2020, Vol.6 (2), p.17-19

Kleinberg, Samantha

2020

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Food Records Show Daily Variation in Diet During Pregnancy: Results From the Temporal Research in Eating, Nutrition, and Diet during Pregnancy (TREND-P) Study

The Journal of nutrition, 2024-10

2024

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Using uncertain data from body-worn sensors to gain insight into type 1 diabetes

Journal of biomedical informatics, 2016-10, Vol.63, p.259-268

2016

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Perceived Penalties for Sharing Patient Beliefs with Health Care Providers

Medical decision making, 2024-08, Vol.44 (6), p.617-626

2024

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Proceedings 3rd Workshop on formal reasoning about Causation, Responsibility, and Explanations in Science and Technology: Preface

Electronic proceedings in theoretical computer science, 2019-01, Vol.286

2019

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Combining Fourier and lagged k-nearest neighbor imputation for biomedical time series data

Journal of biomedical informatics, 2015-12, Vol.58, p.198-207

2015

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Objective Determination of Eating Occasion Timing (OREO): A Descriptive Study in Adults with Obesity

Obesity (Silver Spring, Md.), 2021-12, Vol.29, p.132-133

2021

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Simulating Realistic Continuous Glucose Monitor Time Series By Data Augmentation

Journal of diabetes science and technology, 2023-06, p.19322968231181138-19322968231181138

2023

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Transforming Big Data into AI‐ready data for nutrition and obesity research

Obesity (Silver Spring, Md.), 2024-05, Vol.32 (5), p.857-870

2024

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Objective Determination of Eating Occasion Timing (OREO): Combining Self-Report, Wrist Motion, and Continuous Glucose Monitoring to Detect Eating Occasions in Adults With Pre-Diabetes and Obesity

Journal of diabetes science and technology, 2023-09

2023

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Classification of Level of Consciousness in a Neurological ICU Using Physiological Data

Neurocritical care, 2023-02, Vol.38 (1), p.118-128

2023

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Objective Determination of Eating Occasion Timing: Combining Self-Report, Wrist Motion, and Continuous Glucose Monitoring to Detect Eating Occasions in Adults With Prediabetes and Obesity

Journal of diabetes science and technology, 2024-03, Vol.18 (2), p.266-272

2024

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Lessons learned in replicating data-driven experiments in multiple medical systems and patient populations

AMIA ... Annual Symposium proceedings, 2013, Vol.2013, p.786-795

2013

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Lagged Correlations among Physiological Variables as Indicators of Consciousness in Stroke Patients

AMIA ... Annual Symposium proceedings, 2019, Vol.2019, p.942-951

2019

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Artificial Intelligence for Predicting and Diagnosing Complications of Diabetes

Journal of diabetes science and technology, 2023-01, Vol.17 (1), p.224-238

2023

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Replicability, Reproducibility, and Agent-based Simulation of Interventions

AMIA ... Annual Symposium proceedings, 2017, Vol.2017, p.959-968

2017

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A review of causal inference for biomedical informatics

Nonconvulsive seizures after subarachnoid hemorrhage: Multimodal detection and outcomes

Less is more: information needs, information wants, and what makes causal models useful

Health Information Sourcing and Health Knowledge Quality: Repeated Cross-sectional Survey

How causal information affects decisions

Machine learning modeling practices to support the principles of AI and ethics in nutrition research

Using Momentary Assessment and Machine Learning to Identify Barriers to Self-management in Type 1 Diabetes: Observational Study

Causal Structure of Brain Physiology after Brain Injury from Subarachnoid Hemorrhage

Automated meal detection from continuous glucose monitor data through simulation and explanation

On the use and abuse of Hill’s viewpoints on causality

Food Records Show Daily Variation in Diet During Pregnancy: Results From the Temporal Research in Eating, Nutrition, and Diet during Pregnancy (TREND-P) Study

Using uncertain data from body-worn sensors to gain insight into type 1 diabetes

Perceived Penalties for Sharing Patient Beliefs with Health Care Providers

Proceedings 3rd Workshop on formal reasoning about Causation, Responsibility, and Explanations in Science and Technology: Preface

Combining Fourier and lagged k-nearest neighbor imputation for biomedical time series data

Objective Determination of Eating Occasion Timing (OREO): A Descriptive Study in Adults with Obesity

Simulating Realistic Continuous Glucose Monitor Time Series By Data Augmentation

Transforming Big Data into AI‐ready data for nutrition and obesity research

Objective Determination of Eating Occasion Timing (OREO): Combining Self-Report, Wrist Motion, and Continuous Glucose Monitoring to Detect Eating Occasions in Adults With Pre-Diabetes and Obesity

Classification of Level of Consciousness in a Neurological ICU Using Physiological Data

Objective Determination of Eating Occasion Timing: Combining Self-Report, Wrist Motion, and Continuous Glucose Monitoring to Detect Eating Occasions in Adults With Prediabetes and Obesity

Lessons learned in replicating data-driven experiments in multiple medical systems and patient populations

Lagged Correlations among Physiological Variables as Indicators of Consciousness in Stroke Patients

Artificial Intelligence for Predicting and Diagnosing Complications of Diabetes

Replicability, Reproducibility, and Agent-based Simulation of Interventions

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