| A machine learning approach to understanding patterns of engagement with internet-delivered mental health interventions I Chien, A Enrique, J Palacios, T Regan, D Keegan, D Carter, ... JAMA network open 3 (7), e2010791-e2010791, 2020 | 103 | 2020 |
| Natural language processing to assess end-of-life quality indicators in cancer patients receiving palliative surgery C Lindvall, EJ Lilley, SN Zupanc, I Chien, BV Udelsman, A Walling, ... Journal of palliative medicine 22 (2), 183-187, 2019 | 92 | 2019 |
| Plasma-derived extracellular vesicle analysis and deconvolution enable prediction and tracking of melanoma checkpoint blockade outcome A Shi, GG Kasumova, WA Michaud, J Cintolo-Gonzalez, M Díaz-Martínez, ... Science Advances 6 (46), eabb3461, 2020 | 55 | 2020 |
| Needle in a haystack: natural language processing to identify serious illness B Udelsman, I Chien, K Ouchi, K Brizzi, JA Tulsky, C Lindvall Journal of palliative medicine 22 (2), 179-182, 2019 | 54 | 2019 |
| Deep learning algorithms to identify documentation of serious illness conversations during intensive care unit admissions A Chan, I Chien, E Moseley, S Salman, S Kaminer Bourland, D Lamas, ... Palliative medicine 33 (2), 187-196, 2019 | 53 | 2019 |
| Deep natural language processing to identify symptom documentation in clinical notes for patients with heart failure undergoing cardiac resynchronization therapy RE Leiter, E Santus, Z Jin, KC Lee, M Yusufov, I Chien, A Ramaswamy, ... Journal of pain and symptom management 60 (5), 948-958. e3, 2020 | 31 | 2020 |
| Mining multi-site clinical data to develop machine learning MRI biomarkers: application to neonatal hypoxic ischemic encephalopathy RJ Weiss, SV Bates, Y Song, Y Zhang, EM Herzberg, YC Chen, M Gong, ... Journal of translational medicine 17, 1-16, 2019 | 30 | 2019 |
| Multi-disciplinary fairness considerations in machine learning for clinical trials I Chien, N Deliu, R Turner, A Weller, S Villar, N Kilbertus Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 29 | 2022 |
| Identification of serious illness conversations in unstructured clinical notes using deep neural networks I Chien, A Shi, A Chan, C Lindvall International Workshop on Artificial Intelligence in Health, 199-212, 2018 | 24 | 2018 |
| A machine learning approach to understanding patterns of engagement with internet-delivered mental health interventions. JAMA Netw Open. 2020 Jul 01; 3 (7): e2010791. 10.1001 … I Chien, A Enrique, J Palacios, T Regan, D Keegan, D Carter, ... | 13 | |
| Analytical models integrated with satellite images for optimized pest management LZ Bright, M Handley, I Chien, S Curi, LA Brownworth, S D’hers, ... Precision agriculture 17, 628-636, 2016 | 12 | 2016 |
| Divine: Diverse influential training points for data visualization and model refinement U Bhatt, I Chien, MB Zafar, A Weller arXiv preprint arXiv:2107.05978, 2021 | 9 | 2021 |
| A machine learning approach to understanding patterns of engagement with internet-delivered mental health interventions. JAMA Network Open, 3 (7), Article e2010791 I Chien, A Enrique, J Palacios, T Regan, D Keegan, D Carter, ... | 9 | 2020 |
| Deep learning for the prediction of clinical outcomes in internet-delivered CBT for depression and anxiety N Prasad, I Chien, T Regan, A Enrique, J Palacios, D Keegan, U Munir, ... Plos one 18 (11), e0272685, 2023 | 7 | 2023 |
| Natural language processing for precision clinical diagnostics and treatment I Chien Massachusetts Institute of Technology, 2018 | 4 | 2018 |
| TRIALSCOPE A Unifying Causal Framework for Scaling Real-World Evidence Generation with Biomedical Language Models J González, C Wong, Z Gero, J Bagga, R Ueno, I Chien, E Orakvin, ... arXiv preprint arXiv:2311.01301, 2023 | 3 | 2023 |
| Natural language processing to assess palliative care processes in cancer patients receiving palliative surgery C Lindvall, EJ Lilley, SN Zupanc, I Chien, AW Forsyth, A Walling, ... preparation, 2018 | 2 | 2018 |
| Deconvolution of plasma-derived exosomes for tracking and prediction of immunotherapy across multiple tissues A Shi, G Kasumova, I Chien, J Cintolo-Gonzalez, DT Frederick, R Alpatov, ... Cancer Research 78 (13_Supplement), 4282-4282, 2018 | 1 | 2018 |
| Beyond Clinical Trials: Using Real World Evidence to Investigate Heterogeneous, Time-Varying Treatment Effects I Chien, C Wong, Z Gero, J Bagga, R Ueno, RE Turner, RK Weerasinghe, ... Machine Learning for Healthcare Conference, 2024 | | 2024 |
| Safe Exploration in Dose Finding Clinical Trials with Heterogeneous Participants I Chien, WP Bruinsma, J Gonzalez, RE Turner Proceedings of the 41st International Conference on Machine Learning, 2024 | | 2024 |
