Jered McInerney

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Byron WallaceAssociate Professor, Northeastern UniversityVerified email at ccs.neu.edu
Jan-Willem van de MeentUniversity of Amsterdam and Northeastern UniversityVerified email at uva.nl
Yifan PengAssociate Professor at Weill Cornell MedicineVerified email at med.cornell.edu
Bradley MalinAccenture Professor of Biomedical Informatics, Biostatistics, and Computer Science, VanderbiltVerified email at vanderbilt.edu
Gongbo ZhangColumbia UniversityVerified email at cumc.columbia.edu
Qiao Jin, MDNational Institutes of HealthVerified email at nih.gov
Chunhua WengProfessor, Columbia UniversityVerified email at columbia.edu
Mor PelegUniversity of HaifaVerified email at is.haifa.ac.il
Zhiyong LuSenior Investigator, NLM; Adjunct Professor of CS, UIUCVerified email at nih.gov
Silvio AmirNortheastern UniversityVerified email at northeastern.edu
Borna E. DabiriBrigham and Women's Hospital, Harvard UniversityVerified email at post.harvard.edu
Hiba AhsanNortheastern UniversityVerified email at northeastern.edu
Iain MarshallKing's College LondonVerified email at kcl.ac.uk
Sanjana RamprasadNortheastern UniversityVerified email at northeastern.edu
Kristjan ArumaeApplied Scientist, QualtricsVerified email at qualtrics.com
Parminder BhatiaChief AI Officer, GE HealthcareVerified email at ge.com

Jered McInerney

Northeastern University, CodaMetrix

Verified email at northeastern.edu - Homepage

Machine Learning Natural Language Processing


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Chill: zero-shot custom interpretable feature extraction from clinical notes with large language models DJ McInerney, G Young, JW van de Meent, BC Wallace arXiv preprint arXiv:2302.12343, 2023	21	2023
Leveraging generative AI for clinical evidence synthesis needs to ensure trustworthiness G Zhang, Q Jin, DJ McInerney, Y Chen, F Wang, CL Cole, Q Yang, ... Journal of Biomedical Informatics 153, 104640, 2024	14	2024
Query-focused ehr summarization to aid imaging diagnosis DJ McInerney, B Dabiri, AS Touret, G Young, JW Meent, BC Wallace Machine Learning for Healthcare Conference, 632-659, 2020	13	2020
Retrieving evidence from ehrs with llms: Possibilities and challenges H Ahsan, DJ McInerney, J Kim, C Potter, G Young, S Amir, BC Wallace Proceedings of machine learning research 248, 489, 2024	11	2024
Automatically summarizing evidence from clinical trials: A prototype highlighting current challenges S Ramprasad, IJ Marshall, DJ McInerney, BC Wallace Proceedings of the conference. Association for Computational Linguistics …, 2023	9	2023
That’s the Wrong Lung! Evaluating and Improving the Interpretability of Unsupervised Multimodal Encoders for Medical Data DJ McInerney, G Young, JW van de Meent, BC Wallace Proceedings of the Conference on Empirical Methods in Natural Language …, 2022	2	2022
Towards reducing diagnostic errors with interpretable risk prediction DJ McInerney, W Dickinson, LC Flynn, AC Young, GS Young, ... Proceedings of the conference. Association for Computational Linguistics …, 2024	1	2024
Kronecker factorization for preventing catastrophic forgetting in large-scale medical entity linking DJ McInerney, L Kong, K Arumae, B Wallace, P Bhatia arXiv preprint arXiv:2111.06012, 2021	1	2021
Open (Clinical) LLMs are Sensitive to Instruction Phrasings AMC Arroyo, M Munnangi, J Sun, KYC Zhang, DJ McInerney, BC Wallace, ... arXiv preprint arXiv:2407.09429, 2024		2024
An Interface for Clinicians: Finding Crucial Information with Language Models in Electronic Health Records DJ McInerney Northeastern University, 2024		2024

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