publications

2025

1. Classifying Unstructured Text in Electronic Health Records for Mental Health Prediction Models: Large Language Model Evaluation Study

   Nicholas C Cardamone, Mark Olfson, Timothy Schmutte, Lyle Ungar, Tony Liu, Sara W Cullen, Nathaniel J Williams, and Steven C Marcus

   JMIR Medical Informatics, 2025
2. A cohort study of predictors of short-term nonfatal suicidal and self-harm events among individuals with mental health disorders treated in the emergency department

   Steven C Marcus, Sara Wiesel Cullen, Timothy Schmutte, Ming Xie, Tony Liu, Lyle H Ungar, Nick Cardamone, Nathaniel J Williams, and 1 more author

   Journal of Psychiatric Research, 2025
3. Rate of Biopsy Prior To Resection Among Patients with High-Grade Glioma: A Nationwide Database Analysis

   Susanna Howard*, Tony Liu*, Jesse Hsu, Daniel Zhang, John Farrar, Christina Jackson, and Stephen Bagley

   Journal of Neurosurgery, 2025

2024

1. Computational Kinematics of Dance: Distinguishing Hip Hop Genres

   Ben Baker, Tony Liu, Jordan Matelsky, Felipe Parodi, John W Krakauer, Brett Mensh, and Konrad Kording

   Frontiers in Robotics and AI, 2024
2. Differential temporal utility of passively sensed smartphone features for depression and anxiety symptom prediction: a longitudinal cohort study

   Caitlin A Stamatis, Jonah Meyerhoff, Yixuan Meng, Zhi Chong Chris Lin, Young Min Cho, Tony Liu, Chris J Karr, Tingting Liu, and 3 more authors

   npj Mental Health Research, 2024
3. Measuring Causal Effects of Civil Communication Without Randomization

   Tony Liu, Lyle Ungar, Konrad Kording, and Morgan McGuire

   International AAAI Conference on Web and Social Media (ICWSM), 2024

2023

1. Automated Detection of Causal Inference Opportunities: Regression Discontinuity Subgroup Discovery

   Tony Liu, Patrick Lawlor, Lyle Ungar, Konrad Kording, and Rahul Ladhania

   Transactions of Machine Learning Research (TMLR), 2023
2. Analyzing text message linguistic features: Do people with depression communicate differently with their close and non-close contacts?

   Jonah Meyerhoff, Tingting Liu, Caitlin Stamatis, Tony Liu, Harry Wang, Yixuan Meng, Brenda Curtis, Chris J Karr, and 3 more authors

   Behavior Research and Therapy, 2023
3. Leveraging Natural Language Processing and Artificial Intelligence to Label Unstructured Data for Risk Prediction

   C Amro, A Desai, P Dattatri, Tony Liu, JY Hsu, RB Broach, LH Ungar, and JP Fischer

   British Journal of Surgery, 2023

2022

1. Automated Machine Learning for Risk Prediction of Incisional Hernia in Abdominal Surgery Patients

   Ankoor A Talwar, Abhishek A Desai, Phoebe B McAuliffe, Tony Liu, Vivek James, Ivona Percec, Robyn B Broach, Lyle Ungar, and 1 more author

   Plastic and Reconstructive Surgery–Global Open, 2022
2. Data-driven exclusion criteria for instrumental variable studies

   Tony Liu, Patrick Lawlor, Lyle Ungar, and Konrad Kording

   Conference on causal learning and reasoning (CLeaR), 2022
3. The relationship between text message sentiment and self-reported depression

   Tony Liu, Jonah Meyerhoff, Johannes C Eichstaedt, Chris J Karr, Susan M Kaiser, Konrad P Kording, David C Mohr, and Lyle H Ungar

   Journal of affective disorders, 2022
4. Prospective associations of text-message-based sentiment with symptoms of depression, generalized anxiety, and social anxiety

   Caitlin A Stamatis, Jonah Meyerhoff, Tingting Liu, Garrick Sherman, Harry Wang, Tony Liu, Brenda Curtis, Lyle H Ungar, and 1 more author

   Depression and anxiety, 2022
5. Neuromatch Academy: a 3-week, online summer school in computational neuroscience

   Bernard Hart, Titipat Achakulvisut, Ayoade Adeyemi, Athena Akrami, Bradly Alicea, Alicia Alonso-Andres, Diego Alzate-Correa, Arash Ash, and 4 more authors

   Journal of Open Source Education, 2022

2021

1. Quantifying causality in data science with quasi-experiments

   Tony Liu, Lyle Ungar, and Konrad Kording

   Nature computational science, 2021
2. Towards Cotenable and Causal Shapley Feature Explanations

   Tony Liu, and Lyle Ungar

   AAAI 2021 Workshop: Trustworthy AI for Healthcare, 2021
3. Evaluation of changes in depression, anxiety, and social anxiety using smartphone sensor features: longitudinal cohort study

   Jonah Meyerhoff, Tony Liu, Konrad P Kording, Lyle H Ungar, Susan M Kaiser, Chris J Karr, and David C Mohr

   Journal of medical Internet research, 2021
4. Machine learning and surgical outcomes prediction: a systematic review

   Omar Elfanagely, Yoshiko Toyoda, Sammy Othman, Joseph A Mellia, Marten Basta, Tony Liu, Konrad Kording, Lyle Ungar, and 1 more author

   Journal of Surgical Research, 2021

2020

1. A web-based automated machine learning platform to analyze liquid biopsy data

   Hanfei Shen, Tony Liu, Jesse Cui, Piyush Borole, Ari Benjamin, Konrad Kording, and David Issadore

   Lab on a Chip, 2020

2019

1. Machine learning for phone-based relationship estimation: the need to consider population heterogeneity

   Tony Liu, Jennifer Nicholas, Max M Theilig, Sharath C Guntuku, Konrad Kording, David C Mohr, and Lyle Ungar

   Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies, 2019