Search Results for author: Yuk-Lam Ho

Found 4 papers, 1 papers with code

Representation Learning to Advance Multi-institutional Studies with Electronic Health Record Data

no code implementations • 12 Feb 2025 • Doudou Zhou, Han Tong, Linshanshan Wang, Suqi Liu, Xin Xiong, Ziming Gan, Romain Griffier, Boris Hejblum, Yun-Chung Liu, Chuan Hong, Clara-Lea Bonzel, Tianrun Cai, Kevin Pan, Yuk-Lam Ho, Lauren Costa, Vidul A. Panickan, J. Michael Gaziano, Kenneth Mandl, Vianney Jouhet, Rodolphe Thiebaut, Zongqi Xia, Kelly Cho, Katherine Liao, Tianxi Cai

The adoption of EHRs has expanded opportunities to leverage data-driven algorithms in clinical care and research.

Federated Learning Graph Attention +2

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Domain Shift Analysis in Chest Radiographs Classification in a Veterans Healthcare Administration Population

no code implementations • 30 Jul 2024 • Mayanka Chandrashekar, Ian Goethert, Md Inzamam Ul Haque, Benjamin McMahon, Sayera Dhaubhadel, Kathryn Knight, Joseph Erdos, Donna Reagan, Caroline Taylor, Peter Kuzmak, John Michael Gaziano, Eileen McAllister, Lauren Costa, Yuk-Lam Ho, Kelly Cho, Suzanne Tamang, Samah Fodeh-Jarad, Olga S. Ovchinnikova, Amy C. Justice, Jacob Hinkle, Ioana Danciu

Conclusion: Our study reveals the significant impact of domain shift and demographic factors on chest X-ray classification, emphasizing the need for improved transfer learning and equitable model development.

Classification Multi-Label Classification +3

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VISION: Toward a Standardized Process for Radiology Image Management at the National Level

no code implementations • 29 Apr 2024 • Kathryn Knight, Ioana Danciu, Olga Ovchinnikova, Jacob Hinkle, Mayanka Chandra Shekar, Debangshu Mukherjee, Eileen McAllister, Caitlin Rizy, Kelly Cho, Amy C. Justice, Joseph Erdos, Peter Kuzmak, Lauren Costa, Yuk-Lam Ho, Reddy Madipadga, Suzanne Tamang, Ian Goethert

The compilation and analysis of radiological images poses numerous challenges for researchers.

Management

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LATTE: Label-efficient Incident Phenotyping from Longitudinal Electronic Health Records

1 code implementation • 19 May 2023 • Jun Wen, Jue Hou, Clara-Lea Bonzel, Yihan Zhao, Victor M. Castro, Vivian S. Gainer, Dana Weisenfeld, Tianrun Cai, Yuk-Lam Ho, Vidul A. Panickan, Lauren Costa, Chuan Hong, J. Michael Gaziano, Katherine P. Liao, Junwei Lu, Kelly Cho, Tianxi Cai

We propose a LAbel-efficienT incidenT phEnotyping (LATTE) algorithm to accurately annotate the timing of clinical events from longitudinal EHR data.

Representation Learning Unsupervised Pre-training

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