Code2Vec: Embedding and Clustering Medical Diagnosis Data. - David Kartchner; Tanner Christensen; Jeffrey Humpherys; Sean Wade (ICHI, 2017)

Cost Reduction via Patient Targeting and Outreach: A Statistical Approach. - David Kartchner; Andy Merrill; Jonathan Wrathall (ICHI, 2017)

Forward Thinking: Building Deep Random Forests. - Kevin Miller; Chris Hettinger; Jeffrey Humpherys; Tyler Jarvis; David Kartchner (CoRR, 2017)

Machine Learning Methods for Disease Prediction with Claims Data. - Tanner Christensen; Abraham Frandsen; Seth Glazier; Jeffrey Humpherys; David Kartchner (ICHI, 2018)

Denoising Multi-Source Weak Supervision for Neural Text Classification. - Wendi Ren; Yinghao Li; Hanting Su; David Kartchner; Cassie S. Mitchell; Chao Zhang 014 (EMNLP (Findings), 2020)

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 002; Evie Davalbhakta; Cassie S. Mitchell (Big Data Cogn. Comput., 2022)

Zero-Shot Information Extraction for Clinical Meta-Analysis using Large Language Models. - David Kartchner; Selvi Ramalingam; Irfan Al-Hussaini; Olivia Kronick; Cassie S. Mitchell (BioNLP@ACL, 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 (EMNLP, 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 (SIGIR, 2023)

BioEL: A Comprehensive Python Package for Biomedical Entity Linking. - Prasanth Bathala; Christophe Ye; Batuhan Nursal; Shubham Lohiya; David Kartchner; Cassie S. Mitchell (NAACL (Findings), 2025)