no code implementations • 1 Jun 2018 • Marzyeh Ghassemi, Tristan Naumann, Peter Schulam, Andrew L. Beam, Irene Y. Chen, Rajesh Ranganath
Modern electronic health records (EHRs) provide data to answer clinically meaningful questions.
no code implementations • 2 Oct 2019 • Irene Y. Chen, Monica Agrawal, Steven Horng, David Sontag
Increasingly large electronic health records (EHRs) provide an opportunity to algorithmically learn medical knowledge.
1 code implementation • 14 Feb 2020 • Laleh Seyyed-Kalantari, Guanxiong Liu, Matthew McDermott, Irene Y. Chen, Marzyeh Ghassemi
We demonstrate that TPR disparities exist in the state-of-the-art classifiers in all datasets, for all clinical tasks, and all subgroups.
Ranked #1 on Multi-Label Classification on ChestX-ray14
no code implementations • 28 Aug 2020 • Irene Y. Chen, Emily Alsentzer, Hyesun Park, Richard Thomas, Babina Gosangi, Rahul Gujrathi, Bharti Khurana
Intimate partner violence (IPV) is an urgent, prevalent, and under-detected public health issue.
no code implementations • 22 Sep 2020 • Irene Y. Chen, Emma Pierson, Sherri Rose, Shalmali Joshi, Kadija Ferryman, Marzyeh Ghassemi
The use of machine learning (ML) in health care raises numerous ethical concerns, especially as models can amplify existing health inequities.
no code implementations • 23 Sep 2020 • Irene Y. Chen, Shalmali Joshi, Marzyeh Ghassemi, Rajesh Ranganath
Machine learning can be used to make sense of healthcare data.
no code implementations • 13 Feb 2021 • Irene Y. Chen, Rahul G. Krishnan, David Sontag
In this work, we focus on mitigating the interference of interval censoring in the task of clustering for disease phenotyping.
no code implementations • 28 Nov 2022 • Antonio Parziale, Monica Agrawal, Shalmali Joshi, Irene Y. Chen, Shengpu Tang, Luis Oala, Adarsh Subbaswamy
A collection of the extended abstracts that were presented at the 2nd Machine Learning for Health symposium (ML4H 2022), which was held both virtually and in person on November 28, 2022, in New Orleans, Louisiana, USA.
no code implementations • 26 May 2023 • Hussein Mozannar, Yuria Utsumi, Irene Y. Chen, Stephanie S. Gervasi, Michele Ewing, Aaron Smith-McLallen, David Sontag
We aimed to build machine learning algorithms to identify pregnant patients and triage them by risk of complication to assist care management.
no code implementations • 16 Nov 2023 • Ayush Jain, Marie Laure-Charpignon, Irene Y. Chen, Anthony Philippakis, Ahmed Alaa
Cosine similarity values are computed between (1) all biological pathways starting at the considered drug and ending at the disease of interest and (2) all biological pathways starting at drugs currently prescribed against that disease and ending at the disease of interest.
1 code implementation • 19 Dec 2023 • Maria Antoniak, Aakanksha Naik, Carla S. Alvarado, Lucy Lu Wang, Irene Y. Chen
Ethical frameworks for the use of natural language processing (NLP) are urgently needed to shape how large language models (LLMs) and similar tools are used for healthcare applications.
no code implementations • 6 Feb 2024 • Brenda Y. Miao, Christopher YK Williams, Ebenezer Chinedu-Eneh, Travis Zack, Emily Alsentzer, Atul J. Butte, Irene Y. Chen
Notably, we also showed using our approach that "weight gain/mood change" and "insurance coverage" are disproportionately found as reasons for contraceptive switching in specific demographic populations.
1 code implementation • 5 Mar 2024 • Brenda Y. Miao, Irene Y. Chen, Christopher YK Williams, Jaysón Davidson, Augusto Garcia-Agundez, Harry Sun, Travis Zack, Atul J. Butte, Madhumita Sushil
In response to gaps in standards and best practices for the development of clinical AI tools identified by US Executive Order 141103 and several emerging national networks for clinical AI evaluation, we begin to formalize some of these guidelines by building on the "Minimum information about clinical artificial intelligence modeling" (MI-CLAIM) checklist.