Mathias Brochhausen, PhD, MA

Research Program: Cancer Prevention and Population Sciences Faculty Rank: Professor and Vice-Chair Campus: University of Arkansas for Medical Sciences Department: Biomedical Informatics

Cancer Research Interest

• Disease Site Focus: No Specific Disease Site
• Research Focus Area: Informatics, Health Disparities, Treatment, Diagnosis/ Prognosis
• Research Keywords: Clinical Cancer Data Management, Cancer Data Integration, Artificial Intelligence for Cancer Research
• Type of Research: Population Sciences, Translational
• Research Interest Statement: My current cancer-related research focusses on semantic data integration for cancer clinical data in The Cancer Imaging Archive (TCIA). I have multiple years of experience using Artificial Intelligence methods to harmonize and integrated biomedical data, including cancer research data and drug administration data. I want to support the Cancer Center's mission harnessing innovative data management and data mining methodologies.

Contact Information

• Email Address: mbrochhausen@uams.edu
• Profiles Research Networking Software: View Profile

Publications

• Du X, Aristizabal-Henao JJ, Garrett TJ, [et al., including Brochhausen M]. A Checklist for Reproducible Computational Analysis in Clinical Metabolomics Research. Metabolites. 2022 12(1). PMID: 35050209. PMCID: PMC8779534.
• Brochhausen M, Hester DM. Data Properties or Analytical Methodologies: Too Much Attention to the Former Ignores Concerns About the Latter. The American journal of bioethics : AJOB. 2021 21(12):70-72. PMID: 34806969.
• Blobel B, Ruotsalainen P, Brochhausen M. Autonomous Systems and Artificial Intelligence - Hype or Prerequisite for P5 Medicine?. Studies in health technology and informatics. 2021 285:3-14. PMID: 34734847.
• Brochhausen M, Bost SJ, Singh N, [et al.]. Understanding the Gap Between Information Models and Realism-Based Ontologies Using the Generic Component Model. Studies in health technology and informatics. 2021 285:159-164. PMID: 34734868.
• Vita R, Zheng J, Jackson R, [et al., including Brochhausen M]. Standardization of assay representation in the Ontology for Biomedical Investigations. Database : the journal of biological databases and curation. 2021 2021. PMID: 34244718. PMCID: PMC8271124.
• Fedorov A, Hancock M, Clunie D, [et al., including Brochhausen M]. DICOM re-encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodules. Medical physics. 2020. PMID: 32772385.
• Blobel B, Ruotsalainen P, Brochhausen M, [et al.]. Autonomous Systems and Artificial Intelligence in Healthcare Transformation to 5P Medicine - Ethical Challenges. Studies in health technology and informatics. 2020 270:1089-1093. PMID: 32570549.
• Bost S, Ball JN, Sanddal ND, [et al., including Brochhausen M]. ACS COT participates in study to develop comparative data on trauma care organization. Bulletin of the American College of Surgeons. 2020 105(4):43-48. PMID: 34531607. PMCID: PMC8442950.
• Hoang L, Boyce RD, Bosch N, [et al., including Brochhausen M]. Automatically classifying the evidence type of drug-drug interaction research papers as a step toward computer supported evidence curation. AMIA ... Annual Symposium proceedings. AMIA Symposium. 2020 2020:554-563. PMID: 33936429. PMCID: PMC8075461.
• Hochheiser H, Jing X, Garcia EA, [et al., including Brochhausen M]. A Minimal Information Model for Potential Drug-Drug Interactions. Frontiers in pharmacology. 2020 11:608068. PMID: 33762928. PMCID: PMC7982727.
• Brochhausen M, Ball JW, Sanddal ND, [et al.]. Collecting data on organizational structures of trauma centers: the CAFE web service. Trauma surgery & acute care open. 2020 5(1):e000473. PMID: 32789188. PMCID: PMC7394144.
• Bona JP, Brochhausen M, Hogan WR. Enhancing the drug ontology with semantically-rich representations of National Drug Codes and RxNorm unique concept identifiers. BMC bioinformatics. 2019 20(Suppl 21):708. PMID: 31865907. PMCID: PMC6927112.
• Utecht J, Ball J, Bowman SM, [et al., including Brochhausen M]. Development and Validation of a Controlled Vocabulary: An OWL Representation of Organizational Structures of Trauma Centers and Trauma Systems. Studies in health technology and informatics. 2019 264:403-407. PMID: 31437954. PMCID: PMC7357954.
• Bona JP, Prior FW, Zozus MN, Brochhausen M. Enhancing Clinical Data and Clinical Research Data with Biomedical Ontologies - Insights from the Knowledge Representation Perspective. Yearbook of medical informatics. 2019 28(1):140-151. PMID: 31419826. PMCID: PMC6697506.
• Judkins J, Tay-Sontheimer J, Boyce RD, Brochhausen M. Extending the DIDEO ontology to include entities from the natural product drug interaction domain of discourse. Journal of biomedical semantics. 2018 9(1):15. PMID: 29743102. PMCID: PMC5944177.
• Blobel B, Brochhausen M, Ruotsalainen P. Modeling the Personal Health Ecosystem. Studies in health technology and informatics. 2018 249:3-16. PMID: 29866950.
• Brochhausen M, Bona J, Blobel B. The Role of Axiomatically-Rich Ontologies in Transforming Medical Data to Knowledge. Studies in health technology and informatics. 2018 249:38-49. PMID: 29866954.
• Boyce RD, Ragueneau-Majlessi I, Yu J, [et al., including Brochhausen M]. Developing User Personas to Aid in the Design of a User-Centered Natural Product-Drug Interaction Information Resource for Researchers. AMIA ... Annual Symposium proceedings. AMIA Symposium. 2018 2018:279-287. PMID: 30815066. PMCID: PMC6371317.
• Utecht J, Brochhausen M, Judkins J, [et al.]. Formalizing Evidence Type Definitions for Drug-Drug Interaction Studies to Improve Evidence Base Curation. Studies in health technology and informatics. 2017 245:960-964. PMID: 29295242. PMCID: PMC5765984.
• Hogan WR, Wagner MM, Brochhausen M, [et al.]. The Apollo Structured Vocabulary: an OWL2 ontology of phenomena in infectious disease epidemiology and population biology for use in epidemic simulation. Journal of biomedical semantics. 2016 7:50. PMID: 27538448. PMCID: PMC4989460.
• Brochhausen M, Empey PE, Schneider J, [et al.]. Adding evidence type representation to DIDEO. CEUR workshop proceedings. 2016 1747. PMID: 33139971. PMCID: PMC7603805.
• Utecht J, Judkins J, Otte JN, [et al., including Brochhausen M]. OOSTT: a Resource for Analyzing the Organizational Structures of Trauma Centers and Trauma Systems. CEUR workshop proceedings. 2016 1747. PMID: 28217041. PMCID: PMC5312685.
• Judkins J, Utecht J, Brochhausen M. Easy Extraction of Terms and Definitions with OWL2TL. CEUR workshop proceedings. 2016 1747. PMID: 28035214. PMCID: PMC5189984.
• Hicks A, Hanna J, Welch D, [et al., including Brochhausen M]. The ontology of medically related social entities: recent developments. Journal of biomedical semantics. 2016 7:47. PMID: 27406187. PMCID: PMC4942889.
• Brochhausen M, Zheng J, Birtwell D, [et al.]. OBIB-a novel ontology for biobanking. Journal of biomedical semantics. 2016 7:23. PMID: 27148435. PMCID: PMC4855778.
• Bandrowski A, Brinkman R, Brochhausen M, [et al.]. The Ontology for Biomedical Investigations. PloS one. 2016 11(4):e0154556. PMID: 27128319. PMCID: PMC4851331.
• Utecht J, Brochhausen M. Measuring the Usability of Triple Stores for Knowledge Management on Trauma Care Organizations. CEUR workshop proceedings. 2015 1546:241-242. PMID: 27013932. PMCID: PMC4803025.