David Kartchner

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 10

Top Topics

Text Classification

Multiple Data Sources

Top Venues

Publications

David Kartchner, Irfan Al-Hussaini, Haydn Turner, Jennifer Deng, Shubham Lohiya, Prasanth Bathala, Cassie S. Mitchell
BioSift: A Dataset for Filtering Biomedical Abstracts for Drug Repurposing and Clinical Meta-Analysis. SIGIR (2023)
David Kartchner, Selvi Ramalingam, Irfan Al-Hussaini, Olivia Kronick, Cassie S. Mitchell
Zero-Shot Information Extraction for Clinical Meta-Analysis using Large Language Models. BioNLP@ACL (2023)
David Kartchner, Jennifer Deng, Shubham Lohiya, Tejasri Kopparthi, Prasanth Bathala, Daniel Domingo-Fernández, Cassie S. Mitchell
A Comprehensive Evaluation of Biomedical Entity Linking Models. EMNLP (2023)
Anna Kirkpatrick, Chidozie Onyeze, David Kartchner, Stephen Allegri, Davi Nakajima An, Kevin McCoy, Evie Davalbhakta, Cassie S. Mitchell
Optimizations for Computing Relatedness in Biomedical Heterogeneous Information Networks: SemNet 2.0. Big Data Cogn. Comput. 6 (1) (2022)
Wendi Ren, Yinghao Li, Hanting Su, David Kartchner, Cassie Mitchell, Chao Zhang
Denoising Multi-Source Weak Supervision for Neural Text Classification. CoRR (2020)
Wendi Ren, Yinghao Li, Hanting Su, David Kartchner, Cassie Mitchell, Chao Zhang
Denoising Multi-Source Weak Supervision for Neural Text Classification. EMNLP (Findings) (2020)
Tanner Christensen, Abraham Frandsen, Seth Glazier, Jeffrey Humpherys, David Kartchner
Machine Learning Methods for Disease Prediction with Claims Data. ICHI (2018)
David Kartchner, Tanner Christensen, Jeffrey Humpherys, Sean Wade
Code2Vec: Embedding and Clustering Medical Diagnosis Data. ICHI (2017)
David Kartchner, Andy Merrill, Jonathan Wrathall
Cost Reduction via Patient Targeting and Outreach: A Statistical Approach. ICHI (2017)
Kevin Miller, Chris Hettinger, Jeffrey Humpherys, Tyler Jarvis, David Kartchner
Forward Thinking: Building Deep Random Forests. CoRR (2017)