David Kartchner

According to our database, David Kartchner authored at least 9 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

BioSift: A Dataset for Filtering Biomedical Abstracts for Drug Repurposing and Clinical Meta-Analysis.

David Kartchner, Irfan Al-Hussaini, Haydn Turner, Jennifer Deng, Shubham Lohiya, Prasanth Bathala, Cassie S. Mitchell

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

A Comprehensive Evaluation of Biomedical Entity Linking Models.

David Kartchner, Jennifer Deng, Shubham Lohiya, Tejasri Kopparthi, Prasanth Bathala, Daniel Domingo-Fernández, Cassie S. Mitchell

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Zero-Shot Information Extraction for Clinical Meta-Analysis using Large Language Models.

David Kartchner, Selvi Ramalingam, Irfan Al-Hussaini, Olivia Kronick, Cassie S. Mitchell

Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

2022

Optimizations for Computing Relatedness in Biomedical Heterogeneous Information Networks: SemNet 2.0.

Anna Kirkpatrick, Chidozie Onyeze, David Kartchner, Stephen Allegri, Davi Nakajima An, Kevin McCoy, Evie Davalbhakta, Cassie S. Mitchell

Big Data Cogn. Comput., 2022

2020

Denoising Multi-Source Weak Supervision for Neural Text Classification.

Wendi Ren, Yinghao Li, Hanting Su, David Kartchner, Cassie S. Mitchell, Chao Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2018

Machine Learning Methods for Disease Prediction with Claims Data.

Tanner Christensen, Abraham Frandsen, Seth Glazier, Jeffrey Humpherys, David Kartchner

Proceedings of the IEEE International Conference on Healthcare Informatics, 2018

2017

Forward Thinking: Building Deep Random Forests.

Kevin Miller, Chris Hettinger, Jeffrey Humpherys, Tyler Jarvis, David Kartchner

CoRR, 2017

Cost Reduction via Patient Targeting and Outreach: A Statistical Approach.

David Kartchner, Andy Merrill, Jonathan Wrathall

Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

Code2Vec: Embedding and Clustering Medical Diagnosis Data.

David Kartchner, Tanner Christensen, Jeffrey Humpherys, Sean Wade

Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017