Unraveling the Complexity of Amyotrophic Lateral Sclerosis Survival Prediction. - Stephen R. Pfohl; Renaid B. Kim; Grant S. Coan; Cassie S. Mitchell (Frontiers Neuroinformatics, 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)

CCS Explorer: Relevance Prediction, Extractive Summarization, and Named Entity Recognition from Clinical Cohort Studies. - Irfan Al-Hussaini; Davi Nakajima An; Albert J. Lee; Sarah Bi; Cassie S. Mitchell (IEEE Big Data, 2022)

SERF: Interpretable Sleep Staging using Embeddings, Rules, and Features. - Irfan Al-Hussaini; Cassie S. Mitchell (CIKM, 2022)

CompositeView: A Network-Based Visualization Tool. - Stephen Allegri; Kevin McCoy 002; Cassie S. Mitchell (Big Data Cogn. Comput., 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 002; Evie Davalbhakta; Cassie S. Mitchell (Big Data Cogn. Comput., 2022)

Performance and utility trade-off in interpretable sleep staging. - Irfan Al-Hussaini; Cassie S. Mitchell (CoRR, 2022)

Pathology Dynamics at BioLaySumm: the trade-off between Readability, Relevance, and Factuality in Lay Summarization. - Irfan Al-Hussaini; Austin Wu; Cassie S. Mitchell (BioNLP@ACL, 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 (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)

Towards Interpretable Seizure Detection Using Wearables. - Irfan Al-Hussaini; Cassie S. Mitchell (ICASSP, 2023)

sEBM: Scaling Event Based Models to Predict Disease Progression via Implicit Biomarker Selection and Clustering. - Raghav Tandon; Anna Kirkpatrick; Cassie S. Mitchell (IPMI, 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)

s-SuStaIn: Scaling subtype and stage inference via simultaneous clustering of subjects and biomarkers. - Raghav Tandon; James J. Lah; Cassie S. Mitchell (CHIL, 2024)

Data Augmentation with Cross-Modal Variational Autoencoders (DACMVA) for Cancer Survival Prediction. - Sara Rajaram; Cassie S. Mitchell (Inf., 2024)

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)