Generating Medical Case Reports with the Linguistic String Parser. - Ping-Yang Li; Martha W. Evens; Daniel B. Hier (AAAI, 1986)

Automating the knowledge acquisition process in medical expert systems. - Kenneth G. Bobis; Martha W. Evens; Daniel B. Hier (CBMS, 1989)

LITREF-a microcomputer based information retrieval system supporting stroke diagnosis, design, and development. - Guang-Nay Wang; Martha W. Evens; Daniel B. Hier (CBMS, 1989)

On the evaluation of LITREF: a PC-based information retrieval system to support stroke diagnosis. - Guang-Nay Wang; Martha W. Evens; Daniel B. Hier (CBMS, 1990)

Applying hypermedia and expert system technology to the neurological consultation. - Chiang S. Jao; Daniel B. Hier (CBMS, 1993)

A complete, hypermedia medical decision analysis support system. - Deng-Yiv Chiu; Chung C. Chang; Martha W. Evens; Johug C. Chern; Daniel B. Hier; David A. Trace; Frank Naeymi-Rad (CBMS, 1994)

Technical Brief: Converting Laserdisc Video to Digital Video: A Demonstration Project Using Brain Animations. - Chiang S. Jao; Daniel B. Hier; Steven U. Brint (J. Am. Medical Informatics Assoc., 1995)

The display of photographic-quality images on the Web: a comparison of two technologies. - Chiang S. Jao; Daniel B. Hier; Steven U. Brint (IEEE Trans. Inf. Technol. Biomed., 1999)

Porting a Mental Expert System to a Mainstream Programming Environment. - Chiang S. Jao; Daniel B. Hier; Winifred Dollar; Wenying Fu (AMIA, 2001)

Evaluating a Digital Resident Diagnosis Log: Reasons for Limited Acceptance of a PDA Solution. - Chiang S. Jao; Daniel B. Hier; Jian Su (AMIA, 2003)

Differing Faculty and Housestaff Acceptance of an Electronic Health Record One-Year After Implementation. - Daniel B. Hier; Adam S. Rothschild; Anne LeMaistre; Joy Keeler (MedInfo, 2004)

Differing faculty and housestaff acceptance of an electronic health record. - Daniel B. Hier; Adam S. Rothschild; Anne LeMaistre; Joy Keeler (Int. J. Medical Informatics, 2005)

Overcoming Limitations of Data Entry for the Semi-Automated Detection of Drug Orphans in the EMR. - Chiang S. Jao; Daniel B. Hier (AMIA, 2006)

Adapting User Interface to Expedite Physician Order Entry: A Frontline to Ensure Patient Safety. - Chiang S. Jao; Daniel B. Hier (SMC, 2006)

Using clinical decision support to maintain medication and problem lists A pilot study to yield higher patient safety. - Chiang S. Jao; Daniel B. Hier; William L. Galanter (SMC, 2008)

Computerized physician order entry of medications and clinical decision support can improve problem list documentation compliance. - William L. Galanter; Daniel B. Hier; Chiang S. Jao; David Sarne (Int. J. Medical Informatics, 2010)

Exploratory Analysis of Concussion Recovery Trajectories using Multi-modal Assessments and Serum Biomarkers. - Zachary Roy; Sujit Subhash; Lien A. Bui; Bassam Hadi; Daniel B. Hier; Donald Wunsch; Gayla R. Olbricht; Tayo Obafemi-Ajayi (EMBC, 2020)

An Explainable and Statistically Validated Ensemble Clustering Model Applied to the Identification of Traumatic Brain Injury Subgroups. - Dacosta Yeboah; Louis Steinmeister; Daniel B. Hier; Bassam Hadi; Donald C. Wunsch; Gayla R. Olbricht; Tayo Obafemi-Ajayi (IEEE Access, 2020)

A Neuro-ontology for the neurological examination. - Daniel B. Hier; Steven U. Brint (BMC Medical Informatics Decis. Mak., 2020)

Evaluation of standard and semantically-augmented distance metrics for neurology patients. - Daniel B. Hier; Jonathan Kopel; Steven U. Brint; Donald C. Wunsch; Gayla R. Olbricht; Sima Azizi; Blaine Allen (BMC Medical Informatics Decis. Mak., 2020)

A deep learning model to predict traumatic brain injury severity and outcome from MR images. - Dacosta Yeboah; Hung Nguyen; Daniel B. Hier; Gayla R. Olbricht; Tayo Obafemi-Ajayi (CIBCB, 2021)

Schizophrenia Classification Using Resting State EEG Functional Connectivity: Source Level Outperforms Sensor Level. - Sima Azizi; Daniel B. Hier; Donald C. Wunsch (EMBC, 2021)

Subsumption reduces dataset dimensionality without decreasing performance of a machine learning classifier. - Donald C. Wunsch; Daniel B. Hier (EMBC, 2021)

Enhanced neurologic concept recognition using a named entity recognition model based on transformers. - Sima Azizi; Daniel B. Hier; Donald C. Wunsch II (Frontiers Digit. Health, 2022)

Subtypes of relapsing-remitting multiple sclerosis identified by network analysis. - Quentin Howlett-Prieto; Chelsea Oommen; Michael D. Carrithers; Donald C. Wunsch; Daniel B. Hier (Frontiers Digit. Health, 2022)

It's time to change our documentation philosophy: writing better neurology notes without the burnout. - Jorge M. Rodríguez-Fernández; Jeffrey A. Loeb; Daniel B. Hier (Frontiers Digit. Health, 2022)

Heterogeneity in Blood Biomarker Trajectories After Mild TBI Revealed by Unsupervised Learning. - Lien A. Bui; Dacosta Yeboah; Louis Steinmeister; Sima Azizi; Daniel B. Hier; Donald C. Wunsch; Gayla R. Olbricht; Tayo Obafemi-Ajayi (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

An Explainable Deep Learning Model for Prediction of Severity of Alzheimer's Disease. - Godwin Ekuma; Daniel B. Hier; Tayo Obafemi-Ajayi (CIBCB, 2023)

Editorial: The digitalization of neurology. - Daniel B. Hier; Michael D. Carrithers; Jorge M. Rodríguez-Fernández; Benjamin Kummer (Frontiers Digit. Health, 2023)

The visualization of Orphadata neurology phenotypes. - Daniel B. Hier; Raghu Yelugam; Michael D. Carrithers; Donald C. Wunsch (Frontiers Digit. Health, 2023)

Inter-rater agreement for the annotation of neurologic signs and symptoms in electronic health records. - Chelsea Oommen; Quentin Howlett-Prieto; Michael D. Carrithers; Daniel B. Hier (Frontiers Digit. Health, 2023)

High-Throughput Phenotyping of Clinical Text Using Large Language Models. - Daniel B. Hier; S. Ilyas Munzir; Anne Stahlfeld; Tayo Obafemi-Ajayi; Michael D. Carrithers (BHI, 2024)

Towards Explainability of Dimension Reduction Plots of Unsupervised Learning Model Outcomes. - Tony E. Astuhuaman Davila; Daniel B. Hier; Tayo Obafemi-Ajayi (CIBCB, 2024)

Evaluation of Transfer Learning Models on Traumatic Brain Injury Severity Classification. - Ngoc Do; Daniel B. Hier; Tayo Obafemi-Ajayi (CIBCB, 2024)

High Throughput Phenotyping of Physician Notes with Large Language and Hybrid NLP Models. - Syed I. Munzir; Daniel B. Hier; Michael D. Carrithers (EMBC, 2024)

Multiple Imputation for Robust Cluster Analysis to Address Missingness in Medical Data. - Arnold A. Harder; Gayla R. Olbricht; Godwin Ekuma; Daniel B. Hier; Tayo Obafemi-Ajayi (IEEE Access, 2024)

Enhancing Dimension-Reduced Scatter Plots with Class and Feature Centroids. - Daniel B. Hier; Tayo Obafemi-Ajayi; Gayla R. Olbricht; Devin M. Burns; Sasha Petrenko; Donald C. Wunsch II (CoRR, 2024)

A Large Language Model Outperforms Other Computational Approaches to the High-Throughput Phenotyping of Physician Notes. - Syed I. Munzir; Daniel B. Hier; Chelsea Oommen; Michael D. Carrithers (CoRR, 2024)

When Less Is Not More: Large Language Models Normalize Less-Frequent Terms with Lower Accuracy. - Daniel B. Hier; Thanh Son Do; Tayo Obafemi-Ajayi (CoRR, 2024)

ACIL-Group/CENTROIDS. - Daniel B. Hier; Tayo Obafemi-Ajayi; Gayla R. Olbricht; Devin Burns; Sasha Petrenko; Donald Wunsch (Zenodo, 2024)

ACIL-Group/CENTROIDS. - Daniel B. Hier; Tayo Obafemi-Ajayi; Gayla R. Olbricht; Devin Burns; Sasha Petrenko; Donald Wunsch (Zenodo, 2024)

ACIL-Group/CENTROIDS. - Daniel B. Hier; Tayo Obafemi-Ajayi; Gayla R. Olbricht; Devin Burns; Sasha Petrenko; Donald Wunsch (Zenodo, 2024)

ACIL-Group/KGO. - Daniel B. Hier; Tayo Obafemi-Ajayi; Sasha Petrenko; Donald Wunsch (Zenodo, 2024)

ACIL-Group/KGO. - Daniel B. Hier; Tayo Obafemi-Ajayi; Sasha Petrenko; Donald Wunsch (Zenodo, 2024)

ACIL-Group/KGO. - Daniel B. Hier; Tayo Obafemi-Ajayi; Sasha Petrenko; Donald Wunsch (Zenodo, 2024)

Analyzing Biomedical Datasets with Symbolic Tree Adaptive Resonance Theory. - Sasha Petrenko; Daniel B. Hier; Mary A. Bone; Tayo Obafemi-Ajayi; Erik J. Timpson; William E. Marsh; Michael Speight; Donald C. Wunsch (Inf., 2024)

A simplified retriever to improve accuracy of phenotype normalizations by large language models. - Daniel B. Hier; Thanh Son Do; Tayo Obafemi-Ajayi (Frontiers Digit. Health, 2025)

Efficient Standardization of Clinical Notes using Large Language Models. - Daniel B. Hier; Michael D. Carrithers; Thanh Son Do; Tayo Obafemi-Ajayi (CoRR, 2025)