Jacob Furst (PER-052)

Jacob Furst is a faculty member at DePaul University in College of Computing and Digital Media / School of Computing. Documented areas of work include machine learning, medical informatics, health informatics, data integration, biomedical informatics, and long covid. This listing is drawn from compiled public sources.

Summary ~

• Primary affiliation: College of Computing and Digital Media / School of Computing
• Role types: faculty
• Last reviewed: 2026-05-30

Profile & contact

• Email: jfurst@cdm.depaul.edu

Description

Jacob Furst is a faculty member at DePaul University in College of Computing and Digital Media / School of Computing. Documented areas of work include machine learning, medical informatics, health informatics, data integration, biomedical informatics, and long covid. This listing is drawn from compiled public sources.

Linked resources

None documented.

Linked grants

• Federated Learning (PI)
• Identifying G-quadruplex Binding Proteins with Roles in Gene Regulation Using AI (Co-PI)
• Machine Learning Discovery of Novel Brainstem Nuclei Controlling Orofacial Behaviors (PI)
• REU Site: MedIX: Medical Informatics Experiences in Undergraduate Research (Co-PI)
• MedIX: MEDical Informatics eXperiences in Undergraduate Research (Co-PI)
• TTP: Small: A Kit for Exploring Databases under the Hood for Security, Forensics and Data Recovery (Co-PI)
• Advancing Lung Cancer Diagnosis with Explainable Machine Learning Models (PI)
• CHS: Small: Extracting affect and interaction information from primary care visits to support patient-provider interactions (PI)

Linked courses

None documented.

Linked publications

• DiiS: A Biomedical Data Access Framework for Aiding Data Driven Research Supporting FAIR Principles (Coauthor) — DOI
• Developing a Long COVID Case Definition: Using Machine Learning to Distinguish Long COVID Based on Symptom Presentation (Coauthor) — DOI
• Video Label Refinement for Temporal Localization (Coauthor) — DOI
• Autorevise (Coauthor) — DOI
• Automated Image Analysis of Noisy Microarrays (Coauthor) — DOI
• Leveraging Community Health Workers for Predicting Emergency Department Readmissions (Author) — DOI
• Leveraging Hidden Patterns in Open-Ended Community Health Workers’ Notes to Improve Prediction of Patient Readmission (Author) — DOI
• Presynaptic BK channel localization is dependent on the hierarchical organization of the actin cytoskeleton (Author) — DOI
• Evaluation of Eye Gaze Dynamics During Physician-Patient-Computer Interaction in Federally Qualified Health Centers: Systematic Analysis (Author) — DOI
• PUB-649 (Author) — DOI
• PUB-691 (Author) — DOI
• PUB-711 (Author) — DOI
• PUB-725 (Author) — DOI
• PUB-742 (Author) — DOI
• PUB-781 (Author) — DOI
• PUB-811 (Author) — DOI
• PUB-831 (Author) — DOI

Linked outputs

None documented.

Verification

• Status: repo_derived (~)
• Last reviewed: 2026-05-30
• ORCID verification: unresolved (source: n/a)

Source URLs

See evidence files in link registries.

Notes

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