Leo Anthony Celi

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 83

Top Topics

Reinforcement Learning

Discharge Summaries

Chronic Obstructive Pulmonary Disease

Top Venues

npj Digit. Medicine

Int. J. Medical Informatics

Publications

David Restrepo, Chenwei Wu, Sebastián Andrés Cajas, Luis Filipe Nakayama, Leo Anthony Celi, Diego M. López
Multimodal Deep Learning for Low-Resource Settings: A Vector Embedding Alignment Approach for Healthcare Applications. CoRR (2024)
Mingxuan Liu, Yilin Ning, Salinelat Teixayavong, Xiaoxuan Liu, Mayli Mertens, Yuqing Shang, Xin Li, Di Miao, Jie Xu, Daniel Shu Wei Ting, Lionel Tim-Ee Cheng, Jasmine Chiat Ling Ong, Zhen Ling Teo, Ting Fang Tan, Narrendar RaviChandran, Fei Wang, Leo Anthony Celi, Marcus Eng Hock Ong, Nan Liu
Towards Clinical AI Fairness: Filling Gaps in the Puzzle. CoRR (2024)
Jacob G. Ellen, João Matos, Martin Viola, Jack Gallifant, Justin Quion, Leo Anthony Celi, Nebal S. Abu Hussein
Participant flow diagrams for health equity in AI. J. Biomed. Informatics 152 (2024)
Ashley Cordes, Marieke Ar Bak, Mataroria P. Lyndon, Maui Hudson, Amelia Fiske, Leo Anthony Celi, Stuart McLennan
Competing interests: digital health and indigenous data sovereignty. npj Digit. Medicine 7 (1) (2024)
Jack Gallifant, Shan Chen, Pedro Moreira, Nikolaj Munch, Mingye Gao, Jackson Pond, Leo Anthony Celi, Hugo J. W. L. Aerts, Thomas Hartvigsen, Danielle S. Bitterman
Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks. CoRR (2024)
Khushboo Teotia, Yueran Jia, Naira Link Woite, Leo Anthony Celi, João Matos, Tristan Struja
Variation in monitoring: Glucose measurement in the ICU as a case study to preempt spurious correlations. J. Biomed. Informatics 153 (2024)
Shan Chen, Jack Gallifant, Mingye Gao, Pedro Moreira, Nikolaj Munch, Ajay Muthukkumar, Arvind Rajan, Jaya Kolluri, Amelia Fiske, Janna Hastings, Hugo J. W. L. Aerts, Brian Anthony, Leo Anthony Celi, William G. La Cava, Danielle S. Bitterman
Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias. CoRR (2024)
Louis Agha-Mir-Salim, Lucas McCullum, Enrico Dähnert, Yanick-Daniel Scheel, Ainsley Wilson, Marianne Carpio, Carmen Chan, Claudia Lo, Lindsay Maher, Corinna Dressler, Felix Balzer, Leo Anthony Celi, Akira-Sebastian Poncette, Michele M. Pelter
Interdisciplinary collaboration in critical care alarm research: A bibliometric analysis. Int. J. Medical Informatics 181 (2024)
Gregory Holste, Yiliang Zhou, Song Wang, Ajay Jaiswal, Mingquan Lin, Sherry Zhuge, Yuzhe Yang, Dongkyun Kim, Trong-Hieu Nguyen Mau, Minh-Triet Tran, Jaehyup Jeong, Wongi Park, Jongbin Ryu, Feng Hong, Arsh Verma, Yosuke Yamagishi, Changhyun Kim, Hyeryeong Seo, Myungjoo Kang, Leo Anthony Celi, Zhiyong Lu, Ronald M. Summers, George Shih, Zhangyang Wang, Yifan Peng
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. Medical Image Anal. 97 (2024)
David S. Restrepo, Chenwei Wu, Constanza Vásquez-Venegas, Luis Filipe Nakayama, Leo Anthony Celi, Diego M. López
DF-DM: A foundational process model for multimodal data fusion in the artificial intelligence era. CoRR (2024)
Marieke Ar Bak, Vince I. Madai, Leo Anthony Celi, Georgios Kaissis, Ronald Cornet, Menno Maris, Daniel Rueckert, Alena Buyx, Stuart McLennan
Federated learning is not a cure-all for data ethics. Nat. Mac. Intell. 6 (4) (2024)
Somin Mindy Lee, Daniel Chung, Vasu Kaker, Yongyi Zhao, Irbaz Riaz, Sudheesha Perera, Prabhu Sasankan, George Tang, Po-Chih Kuo, Jacques Kpodonu, Brigitte Kazzi, Leo Anthony Celi
Echocardiogram Vector Embeddings Via R3D Transformer for the Improvement of Ejection Fraction Estimation Instruments. I2MTC (2024)
Mohamed Elgaar, Jiali Cheng, Nidhi Vakil, Hadi Amiri, Leo Anthony Celi
MedDec: A Dataset for Extracting Medical Decisions from Discharge Summaries. ACL (Findings) (2024)
Lasse Hyldig Hansen, Nikolaj Andersen, Jack Gallifant, Liam G. McCoy, James K. Stone, Nura Izath, Marcela Aguirre-Jerez, Danielle S. Bitterman, Judy Gichoya, Leo Anthony Celi
Seeds of Stereotypes: A Large-Scale Textual Analysis of Race and Gender Associations with Diseases in Online Sources. CoRR (2024)
Kuan-Ting Kuo, Dana Moukheiber, Sebastian Cajas Ordonez, David Restrepo, Atika Rahman Paddo, Tsung-Yu Chen, Lama Moukheiber, Mira Moukheiber, Sulaiman Moukheiber, Saptarshi Purkayastha, Po-Chih Kuo, Leo Anthony Celi
DengueNet: Dengue Prediction using Spatiotemporal Satellite Imagery for Resource-Limited Countries. CoRR (2024)
Usman Iqbal, Leon Tsung-Ju Lee, Annisa Ristya Rahmanti, Leo Anthony Celi, Yu-Chuan (Jack) Li
Can large language models provide secondary reliable opinion on treatment options for dermatological diseases? J. Am. Medical Informatics Assoc. 31 (6) (2024)
Stephen R. Pfohl, Heather Cole-Lewis, Rory Sayres, Darlene Neal, Mercy Nyamewaa Asiedu, Awa Dieng, Nenad Tomasev, Qazi Mamunur Rashid, Shekoofeh Azizi, Negar Rostamzadeh, Liam G. McCoy, Leo Anthony Celi, Yun Liu, Mike Schaekermann, Alanna Walton, Alicia Parrish, Chirag Nagpal, Preeti Singh, Akeiylah Dewitt, Philip Andrew Mansfield, Sushant Prakash, Katherine A. Heller, Alan Karthikesalingam, Christopher Semturs, Joelle K. Barral, Greg Corrado, Yossi Matias, Jamila Smith-Loud, Ivor Horn, Karan Singhal
A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models. CoRR (2024)
Carolina A. M. Heming, Mohamed Abdalla, Monish Ahluwalia, Linglin Zhang, Hari Trivedi, Minjae Woo, Benjamin Fine, Judy Wawira Gichoya, Leo Anthony Celi, Laleh Seyyed-Kalantari
Benchmarking bias: Expanding clinical AI model card to incorporate bias reporting of social and non-social factors. CoRR (2023)
Luis Filipe Nakayama, João Matos, Justin Quion, Frederico Novaes, William Greig Mitchell, Rogers Mwavu, Ju-Yi Ji Hung, Alvina Pauline dy Santiago, Warachaya Phanphruk, Jaime S. Cardoso, Leo Anthony Celi
Unmasking Biases and Navigating Pitfalls in the Ophthalmic Artificial Intelligence Lifecycle: A Review. CoRR (2023)
Ali Samadani, Taiyao Wang, Kees van Zon, Leo Anthony Celi
VAP risk index: Early prediction and hospital phenotyping of ventilator-associated pneumonia using machine learning. Artif. Intell. Medicine 146 (2023)
Alessandro Hammond, Bhav Jain, Leo Anthony Celi, Fatima Cody Stanford
An extension to the FDA approval process is needed to achieve AI equity. Nat. Mac. Intell. 5 (2) (2023)
Mingxuan Liu, Yilin Ning, Salinelat Teixayavong, Mayli Mertens, Jie Xu, Daniel Shu Wei Ting, Lionel Tim-Ee Cheng, Jasmine Chiat Ling Ong, Zhen Ling Teo, Ting Fang Tan, Ravi Chandran Narrendar, Fei Wang, Leo Anthony Celi, Marcus Eng Hock Ong, Nan Liu
A translational perspective towards clinical AI fairness. npj Digit. Medicine 6 (2023)
Seyedmostafa Sheikhalishahi, Anirban Bhattacharyya, Leo Anthony Celi, Venet Osmani
An interpretable deep learning model for time-series electronic health records: Case study of delirium prediction in critical care. Artif. Intell. Medicine 144 (2023)
Joachim A. Behar, Jeremy Levy, Leo Anthony Celi
Generalization in medical AI: a perspective on developing scalable models. CoRR (2023)
Yevgeniy Men, Jonathan Fhima, Leo Anthony Celi, Lucas Zago Ribeiro, Luis Filipe Nakayama, Joachim A. Behar
DRStageNet: Deep Learning for Diabetic Retinopathy Staging from Fundus Images. CoRR (2023)
Elizabeth Bondi-Kelly, Thomas Hartvigsen, Lindsay M. Sanneman, Swami Sankaranarayanan, Zach Harned, Grace Wickerson, Judy Wawira Gichoya, Lauren Oakden-Rayner, Leo Anthony Celi, Matthew P. Lungren, Julie A. Shah, Marzyeh Ghassemi
Taking Off with AI: Lessons from Aviation for Healthcare. EAAMO (2023)
Ming-Ying Yang, Gloria Hyun-Jung Kwak, Tom J. Pollard, Leo Anthony Celi, Marzyeh Ghassemi
Evaluating the Impact of Social Determinants on Health Prediction. CoRR (2023)
Amara Tariq, Siyi Tang, Hifza Sakhi, Leo Anthony Celi, Janice M. Newsome, Daniel L. Rubin, Hari Trivedi, Judy Gichoya, Bhavik N. Patel, Imon Banerjee
Graph-Based Fusion of Imaging and Non-Imaging Data for Disease Trajectory Prediction. NER (2023)
Gregory Holste, Yiliang Zhou, Song Wang, Ajay Jaiswal, Mingquan Lin, Sherry Zhuge, Yuzhe Yang, Dongkyun Kim, Trong-Hieu Nguyen Mau, Minh-Triet Tran, Jaehyup Jeong, Wongi Park, Jongbin Ryu, Feng Hong, Arsh Verma, Yosuke Yamagishi, Changhyun Kim, Hyeryeong Seo, Myungjoo Kang, Leo Anthony Celi, Zhiyong Lu, Ronald M. Summers, George Shih, Zhangyang Wang, Yifan Peng
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. CoRR (2023)
Reagan Mozer, Aaron Russell Kaufman, Leo Anthony Celi, Luke Miratrix
Leveraging text data for causal inference using electronic health records. CoRR (2023)
Ming-Ying Yang, Gloria Hyun-Jung Kwak, Tom J. Pollard, Leo Anthony Celi, Marzyeh Ghassemi
Evaluating the Impact of Social Determinants on Health Prediction in the Intensive Care Unit. AIES (2023)
Mingxuan Liu, Yilin Ning, Salinelat Teixayavong, Mayli Mertens, Jie Xu, Daniel Shu Wei Ting, Lionel Tim-Ee Cheng, Jasmine Chiat Ling Ong, Zhen Ling Teo, Ting Fang Tan, Ravi Chandran Narrendar, Fei Wang, Leo Anthony Celi, Marcus Eng Hock Ong, Nan Liu
Towards clinical AI fairness: A translational perspective. CoRR (2023)
Ryan Wang, Li-Ching Chen, Lama Moukheiber, Mira Moukheiber, Dana Moukheiber, Zach Zaiman, Sulaiman Moukheiber, Tess Litchman, Kenneth Seastedt, Hari Trivedi, Rebecca Steinberg, Po-Chih Kuo, Judy Gichoya, Leo Anthony Celi
Early Diagnosis of Chronic Obstructive Pulmonary Disease from Chest X-Rays using Transfer Learning and Fusion Strategies. CoRR (2022)
Eric Lehman, Vladislav Lialin, Katelyn Y. Legaspi, Anne Janelle R. Sy, Patricia Therese S. Pile, Nicole Rose I. Alberto, Richard Raymund R. Ragasa, Corinna Victoria M. Puyat, Isabelle Rose I. Alberto, Pia Gabrielle I. Alfonso, Marianne Taliño, Dana Moukheiber, Byron C. Wallace, Anna Rumshisky, Jennifer J. Liang, Preethi Raghavan, Leo Anthony Celi, Peter Szolovits
Learning to Ask Like a Physician. CoRR (2022)
Zhongheng Zhang, Lin Chen, Ping Xu, Qing Wang, Jianjun Zhang, Kun Chen, Casey M. Clements, Leo Anthony Celi, Vitaly Herasevich, Yucai Hong
Effectiveness of automated alerting system compared to usual care for the management of sepsis. npj Digit. Medicine 5 (2022)
Hammaad Adam, Ming-Ying Yang, Kenrick Cato, Ioana Baldini, Charles Senteio, Leo Anthony Celi, Jiaming Zeng, Moninder Singh, Marzyeh Ghassemi
Write It Like You See It: Detectable Differences in Clinical Notes by Race Lead to Differential Model Recommendations. AIES (2022)
Joy Tzung-yu Wu, Miguel Angel Armengol de La Hoz, Po-Chih Kuo, Joseph Alexander Paguio, Jasper Seth Yao, Edward Christopher Dee, Wesley Yeung, Jerry Jurado, Achintya Moulick, Carmelo Milazzo, Paloma Peinado, Paula Villares, Antonio Cubillo, José Felipe Varona, Hyung-Chul Lee, Alberto Estirado, José Maria Castellano, Leo Anthony Celi
Developing and Validating Multi-Modal Models for Mortality Prediction in COVID-19 Patients: a Multi-center Retrospective Study. J. Digit. Imaging 35 (6) (2022)
Hammaad Adam, Ming-Ying Yang, Kenrick Cato, Ioana Baldini, Charles Senteio, Leo Anthony Celi, Jiaming Zeng, Moninder Singh, Marzyeh Ghassemi
Write It Like You See It: Detectable Differences in Clinical Notes By Race Lead To Differential Model Recommendations. CoRR (2022)
Ismini Lourentzou, Joy T. Wu, Satyananda Kashyap, Alexandros Karargyris, Leo Anthony Celi, Ban Kawas, Sachin S. Talathi
Preface. Gaze Meets ML (2022)
Amara Tariq, Siyi Tang, Hifza Sakhi, Leo Anthony Celi, Janice Newsome, Daniel Rubin, Hari Trivedi, Judy Gichoya, Bhavik Patel, Imon Banerjee
Graph-based Fusion Modeling and Explanation for Disease Trajectory Prediction. AMIA (2022)
Jonathan A. Sobel, Ronit Almog, Leo Anthony Celi, Michal Gaziel Yablowitz, Danny Eytan, Joachim A. Behar
Building Trust: Lessons from the Technion-Rambam Machine Learning in Healthcare Datathon Event. CoRR (2022)
Ramtin Keramati, Omer Gottesman, Leo Anthony Celi, Finale Doshi-Velez, Emma Brunskill
Identification of Subgroups With Similar Benefits in Off-Policy Policy Evaluation. CHIL (2022)
Kristine Zhang, Henry Wang, Jianzhun Du, Brian Chu, Aldo Arévalo, Ryan Kindle, Leo Anthony Celi, Finale Doshi-Velez
An interpretable RL framework for pre-deployment modeling in ICU hypotension management. npj Digit. Medicine 5 (2022)
Ramtin Keramati, Omer Gottesman, Leo Anthony Celi, Finale Doshi-Velez, Emma Brunskill
Identification of Subgroups With Similar Benefits in Off-Policy Policy Evaluation. CoRR (2021)
Imon Banerjee, Ananth Reddy Bhimireddy, John L. Burns, Leo Anthony Celi, Li-Ching Chen, Ramon Correa, Natalie Dullerud, Marzyeh Ghassemi, Shih-Cheng Huang, Po-Chih Kuo, Matthew P. Lungren, Lyle J. Palmer, Brandon J. Price, Saptarshi Purkayastha, Ayis Pyrros, Luke Oakden-Rayner, Chima Okechukwu, Laleh Seyyed-Kalantari, Hari Trivedi, Ryan Wang, Zachary Zaiman, Haoran Zhang, Judy W. Gichoya
Reading Race: AI Recognises Patient's Racial Identity In Medical Images. CoRR (2021)
Joy Tzung-yu Wu, Miguel Angel Armengol de La Hoz, Po-Chih Kuo, Joseph Alexander Paguio, Jasper Seth Yao, Edward Christopher Dee, Wesley Yeung, Jerry Jurado, Achintya Moulick, Carmelo Milazzo, Paloma Peinado, Paula Villares, Antonio Cubillo, José Felipe Varona, Hyung-Chul Lee, Alberto Estirado, José Maria Castellano, Leo Anthony Celi
Developing and validating multi-modal models for mortality prediction in COVID-19 patients: a multi-center retrospective study. CoRR (2021)
Kristine Zhang, Yuanheng Wang, Jianzhun Du, Brian Chu, Leo Anthony Celi, Ryan Kindle, Finale Doshi-Velez
Identifying Decision Points for Safe and Interpretable Reinforcement Learning in Hypotension Treatment. CoRR (2021)
Amir Pouran Ben Veyseh, Franck Dernoncourt, Thien Huu Nguyen, Walter Chang, Leo Anthony Celi
Acronym Identification and Disambiguation Shared Tasks for Scientific Document Understanding. SDU@AAAI (2021)
Joy T. Wu, Nkechinyere Agu, Ismini Lourentzou, Arjun Sharma, Joseph Alexander Paguio, Jasper Seth Yao, Edward C. Dee, William Mitchell, Satyananda Kashyap, Andrea Giovannini, Leo Anthony Celi, Mehdi Moradi
Chest ImaGenome Dataset for Clinical Reasoning. NeurIPS Datasets and Benchmarks (2021)
Gloria Hyun-Jung Kwak, Christina Chen, Lowell Ling, Erina Ghosh, Leo Anthony Celi, Pan Hui
Predicting Hyperkalemia in the ICU and Evaluation of Generalizability and Interpretability. CoRR (2021)
Po-Chih Kuo, Cheng Che Tsai, Diego M. López, Alexandros Karargyris, Tom J. Pollard, Alistair E. W. Johnson, Leo Anthony Celi
Recalibration of deep learning models for abnormality detection in smartphone-captured chest radiograph. npj Digit. Medicine 4 (2021)
Amara Tariq, Leo Anthony Celi, Janice M. Newsome, Saptarshi Purkayastha, Neal Kumar Bhatia, Hari Trivedi, Judy Wawira Gichoya, Imon Banerjee
Patient-specific COVID-19 resource utilization prediction using fusion AI model. npj Digit. Medicine 4 (2021)
Behrooz Mamandipoor, Wesley Yeung, Louis Agha-Mir-Salim, David J. Stone, Venet Osmani, Leo Anthony Celi
Prediction of Blood Lactate Values in Critically Ill Patients: A Retrospective Multi-center Cohort Study. CoRR (2021)
Patrick Schwab, Arash Mehrjou, Sonali Parbhoo, Leo Anthony Celi, Jürgen Hetzel, Markus Hofer, Bernhard Schölkopf, Stefan Bauer
Real-time Prediction of COVID-19 related Mortality using Electronic Health Records. CoRR (2020)
Edward T. Moseley, Joy T. Wu, Jonathan Welt, John Foote Jr., Patrick D. Tyler, David W. Grant, Eric T. Carlson, Sebastian Gehrmann, Franck Dernoncourt, Leo Anthony Celi
A Corpus for Detecting High-Context Medical Conditions in Intensive Care Patient Notes Focusing on Frequently Readmitted Patients. LREC (2020)
Stuart McLennan, Amelia Fiske, Leo Anthony Celi, Ruth Müller, Jan Harder, Konstantin Ritt, Sami Haddadin, Alena Buyx
An embedded ethics approach for AI development. Nat. Mach. Intell. 2 (9) (2020)
Amir Pouran Ben Veyseh, Franck Dernoncourt, Thien Huu Nguyen, Walter Chang, Leo Anthony Celi
Acronym Identification and Disambiguation Shared Tasks for Scientific Document Understanding. CoRR (2020)
Aaron Sonabend W., Junwei Lu, Leo Anthony Celi, Tianxi Cai, Peter Szolovits
Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation. NeurIPS (2020)
Liam G. McCoy, Sujay Nagaraj, Felipe Morgado, Vinyas Harish, Sunit Das, Leo Anthony Celi
What do medical students actually need to know about artificial intelligence? npj Digit. Medicine 3 (2020)
Edward T. Moseley, Joy T. Wu, Jonathan Welt, John Foote Jr., Patrick D. Tyler, David W. Grant, Eric T. Carlson, Sebastian Gehrmann, Franck Dernoncourt, Leo Anthony Celi
A Corpus for Detecting High-Context Medical Conditions in Intensive Care Patient Notes Focusing on Frequently Readmitted Patients. CoRR (2020)
Omer Gottesman, Joseph Futoma, Yao Liu, Sonali Parbhoo, Leo Anthony Celi, Emma Brunskill, Finale Doshi-Velez
Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions. CoRR (2020)
Trishan Panch, Tom J. Pollard, Heather Mattie, Emily Lindemer, Pearse A. Keane, Leo Anthony Celi
"Yes, but will it work for my patients?" Driving clinically relevant research with benchmark datasets. npj Digit. Medicine 3 (2020)
Xiaoli Liu, Pan Hu, Zhi Mao, Po-Chih Kuo, Peiyao Li, Chao Liu, Jie Hu, Deyu Li, Desen Cao, Roger G. Mark, Leo Anthony Celi, Zhengbo Zhang, Feihu Zhou
Interpretable Machine Learning Model for Early Prediction of Mortality in Elderly Patients with Multiple Organ Dysfunction Syndrome (MODS): a Multicenter Retrospective Study and Cross Validation. CoRR (2020)
Aaron Stupple, David Singerman, Leo Anthony Celi
Author Correction: The reproducibility crisis in the age of digital medicine. npj Digit. Medicine 2 (2019)
Andrew Slavin Ross, Weiwei Pan, Leo Anthony Celi, Finale Doshi-Velez
Ensembles of Locally Independent Prediction Models. CoRR (2019)
Trishan Panch, Heather Mattie, Leo Anthony Celi
The "inconvenient truth" about AI in healthcare. npj Digit. Medicine 2 (2019)
Aaron Stupple, David Singerman, Leo Anthony Celi
The reproducibility crisis in the age of digital medicine. npj Digit. Medicine 2 (2019)
Antonin Dauvin, Carolina Donado, Patrik Bachtiger, Ke-Chun Huang, Christopher Martin Sauer, Daniele Ramazzotti, Matteo Bonvini, Leo Anthony Celi, Molly J. Douglas
Machine learning can accurately predict pre-admission baseline hemoglobin and creatinine in intensive care patients. npj Digit. Medicine 2 (2019)
Christopher V. Cosgriff, Leo Anthony Celi, Stephanie Q. Ko, Tejas Sundaresan, Miguel Ángel Armengol de la Hoz, Aaron Russell Kaufman, David J. Stone, Omar Badawi, Rodrigo Octávio Deliberato
Developing well-calibrated illness severity scores for decision support in the critically ill. npj Digit. Medicine 2 (2019)
Willie Boag, Harini Suresh, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi
Racial Disparities and Mistrust in End-of-Life Care. MLHC (2018)
Felipe Maia de Toledo Piza, Leo Anthony Celi, Rodrigo Deliberato, Lucas Bulgarelli, Fabricio Rodrigues Torres de Carvalho, Roberto Rabello Filho, Miguel Angel Armengol de La Hoz, Jennifer Cohn Kesselheim
Assessing team effectiveness and affective learning in a datathon. Int. J. Medical Informatics 112 (2018)
Daniele Ramazzotti, Peter Clardy, Leo Anthony Celi, David J. Stone, Robert S. Rudin
Withholding aggressive treatments may not accelerate time to death among dying ICU patients. CoRR (2018)
Omer Gottesman, Fredrik D. Johansson, Joshua Meier, Jack Dent, Donghun Lee, Srivatsan Srinivasan, Linying Zhang, Yi Ding, David Wihl, Xuefeng Peng, Jiayu Yao, Isaac Lage, Christopher Mosch, Li-Wei H. Lehman, Matthieu Komorowski, Aldo Faisal, Leo Anthony Celi, David A. Sontag, Finale Doshi-Velez
Evaluating Reinforcement Learning Algorithms in Observational Health Settings. CoRR (2018)
Mataroria P. Lyndon, Michael P. Cassidy, Leo Anthony Celi, Luk Hendrik, Yoon Jeon Kim, Nicholas Gomez, Nathaniel Baum, Lucas Bulgarelli, Kenneth Paik, Alon Dagan
Hacking Hackathons: Preparing the next generation for the multidisciplinary world of healthcare technology. Int. J. Medical Informatics 112 (2018)
Usman Iqbal, Alon Dagan, Syed Abdul Shabbir, Leo Anthony Celi, Shwetambara Malwade, Min-Huei Hsu, Yu-Chuan (Jack) Li
A hackathon promoting Taiwanese health-IoT innovation. Comput. Methods Programs Biomed. 163 (2018)
Willie Boag, Harini Suresh, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi
Modeling Mistrust in End-of-Life Care. CoRR (2018)
Joy T. Wu, Franck Dernoncourt, Sebastian Gehrmann, Patrick D. Tyler, Edward T. Moseley, Eric T. Carlson, David W. Grant, Yeran Li, Jonathan Welt, Leo Anthony Celi
Behind the scenes: A medical natural language processing project. Int. J. Medical Informatics 112 (2018)
Aniruddh Raghu, Matthieu Komorowski, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi
Continuous State-Space Models for Optimal Sepsis Treatment - a Deep Reinforcement Learning Approach. CoRR (2017)
Sebastian Gehrmann, Franck Dernoncourt, Yeran Li, Eric T. Carlson, Joy T. Wu, Jonathan Welt, John Foote Jr., Edward T. Moseley, David W. Grant, Patrick D. Tyler, Leo Anthony Celi
Comparing Rule-Based and Deep Learning Models for Patient Phenotyping. CoRR (2017)
Harini Suresh, Nathan Hunt, Alistair E. W. Johnson, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi
Clinical Intervention Prediction and Understanding using Deep Networks. CoRR (2017)
Aniruddh Raghu, Matthieu Komorowski, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi
Continuous State-Space Models for Optimal Sepsis Treatment: a Deep Reinforcement Learning Approach. MLHC (2017)
Harini Suresh, Nathan Hunt, Alistair E. W. Johnson, Leo Anthony Celi, Peter Szolovits, Marzyeh Ghassemi
Clinical Intervention Prediction and Understanding with Deep Neural Networks. MLHC (2017)
Ricardo Pacheco, Cátia M. Salgado, Rodrigo Deliberato, Leo Anthony Celi, Susana M. Vieira
Short-term prediction of low kidney function in ICU patients. FUZZ-IEEE (2017)
Leo Anthony Celi, Edward T. Moseley, Christopher Moses, Padhraig Ryan, Melek Somai, David J. Stone, Kai-ou Tang
From Pharmacovigilance to Clinical Care Optimization. Big Data 2 (3) (2014)
George E. Dafoulas, Stylianos Koutsias, Joachim Behar, Juan D. Osorio, Brian Malley, Alexander Gruentzig, Leo Anthony Celi, Pantelis Angelidis, Kyriaki Theodorou, Athanasios Giannoukas
Development of an mHealth Open Source Platform for Diabetic Foot Ulcers Tele-consultations. MobiHealth (2011)