David Eichmann
A5042792217- Software Engineering Research
- Scientific Computing and Data Management
- COVID-19 Clinical Research Studies
- Advanced Database Systems and Queries
- Web Data Mining and Analysis
- Biomedical Text Mining and Ontologies
- Semantic Web and Ontologies
- Software Reliability and Analysis Research
- Topic Modeling
- COVID-19 and healthcare impacts
- Software Testing and Debugging Techniques
- Long-Term Effects of COVID-19
- Video Analysis and Summarization
- scientometrics and bibliometrics research
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Advanced Image and Video Retrieval Techniques
- COVID-19 Impact on Reproduction
- Advanced Software Engineering Methodologies
- Research Data Management Practices
- Logic, programming, and type systems
- Data Management and Algorithms
- Distributed and Parallel Computing Systems
- Text and Document Classification Technologies
- Data Stream Mining Techniques
Collaborative Research Group
2021
Cohort (United Kingdom)
2021
University of Iowa
2010-2020
State Library of Iowa
2015-2016
The University of Texas Health Science Center at Houston
2009
West Virginia University
1992-2003
University of Houston - Clear Lake
1993-2002
University of Houston
1995
Houston Institute for Clinical Research
1992
Computing Center
1981
Coronavirus disease 2019 (COVID-19) poses societal challenges that require expeditious data and knowledge sharing. Though organizational clinical are abundant, these largely inaccessible to outside researchers. Statistical, machine learning, causal analyses most successful with large-scale beyond what is available in any given organization. Here, we introduce the National COVID Cohort Collaborative (N3C), an open science community focused on analyzing patient-level from many centers.The...
The National COVID Cohort Collaborative (N3C) is a centralized, harmonized, high-granularity electronic health record repository that the largest, most representative COVID-19 cohort to date. This multicenter data set can support robust evidence-based development of predictive and diagnostic tools inform clinical care policy.
Prior observational studies suggest that aspirin use may be associated with reduced mortality in high-risk hospitalized patients COVID-19, but aspirin's efficacy moderate COVID-19 is not well studied.To assess whether early lower odds of in-hospital COVID-19.Observational cohort study 112 269 enrolled from January 1, 2020, through September 10, 2021, at 64 health systems the United States participating National Institute Health's COVID Cohort Collaborative (N3C).Aspirin within first day...
A case is presented for the use of conventional and interface slicing as enabling mechanisms numerous reverse engineering reengineering tasks. The authors first discuss applicability to algorithm extraction design recovery at statement-level granularity. They then present show how it provides similar capabilities module-level Module a general term collection subprograms, possibly with information hiding mechanisms: It includes but not limited Ada packages. Component refers module in reuse...
This paper proposes an active learning approach using language model statistics to detect Wikipedia vandalism. is a popular and influential collaborative information system. The nature of authoring, as well the high visibility its content, have exposed articles Vandalism defined malicious editing intended compromise integrity content articles. Extensive manual efforts are being made combat vandalism automated alleviate laborious process needed.
Purpose To examine the impact of a personal health record (PHR) on medication-use safety among older adults.
RNA interference (RNAi) serves as a powerful and widely used gene silencing tool for basic biological research is being developed therapeutic avenue to suppress disease-causing genes. However, the specificity safety of RNAi strategies remains under scrutiny because small inhibitory RNAs (siRNAs) induce off-target silencing. Currently, tools available designing siRNAs are biased toward efficacy opposed specificity. Prior work from our laboratory others' supports potential design highly...
Abstract Objectives To define pregnancy episodes and estimate gestational age within electronic health record (EHR) data from the National COVID Cohort Collaborative (N3C). Materials Methods We developed a comprehensive approach, named Hierarchy rule-based episode Inference integrated with Pregnancy Progression Signatures (HIPPS), applied it to EHR in N3C (January 1, 2018–April 7, 2022). HIPPS combines: (1) an extension of previously published algorithm, (2) novel algorithm detect...
Article Cross-language information retrieval with the UMLS metathesaurus Share on Authors: David Eichmann School of Library and Information Science, The University Iowa IowaView Profile , Miguel E. Ruiz Padmini Srinivasan Authors Info & Claims SIGIR '98: Proceedings 21st annual international ACM conference Research development in retrievalAugust 1998 Pages 72–80https://doi.org/10.1145/290941.290959Online:01 August 1998Publication History 29citation763DownloadsMetricsTotal Citations29Total...
Research-networking tools use data-mining and social networking to enable expertise discovery, matchmaking collaboration, which are important facets of team science translational research. Several commercial academic platforms have been built, many institutions deployed these products help their investigators find local collaborators. Recent studies, though, shown the growing importance multiuniversity teams in science. Unfortunately, lack a standard data-exchange model resistance...
The past 2 decades have witnessed the emergence of information as a scientific discipline and growth schools around world. We analyzed current state iSchool community in U.S. with special focus on evolution community. conducted our study from perspectives acquiring talents producing research, including analysis faculty members' educational backgrounds, research topics, hiring network among iSchools. Applying text mining techniques social to data various sources, revealed how gradually built...
Abstract Objective This study sought to evaluate whether synthetic data derived from a national coronavirus disease 2019 (COVID-19) dataset could be used for geospatial and temporal epidemic analyses. Materials Methods Using an original (n = 1 854 968 severe acute respiratory syndrome 2 tests) its derivative, we compared key indicators of COVID-19 community spread through analysis aggregate zip code-level curves, patient characteristics outcomes, distribution tests by code, indicator counts...
A case is presented for the use of conventional and interface slicing as enabling mechanisms numerous reverse engineering reengineering tasks. The authors first discuss applicability to algorithm extraction design recovery at statement-level granularity. They then present show how it provides similar capabilities module-level Module a general term collection subprograms, possibly with information hiding mechanisms: It includes but not limited Ada packages. Component refers module in reuse...
OpenVIVO is a free and open hosted semantic web platform to anyone that gathers shares data about scholarship around the world. OpenVIVO, based on VIVO source platform, provides transparent access scholarly work of its participants. demonstrates use persistent identifiers, automatic real-time ingest ecosystem metadata, VIVO-ISF related ontologies, attribution work, publication reuse – all critical components presenting, preserving, tracking scholarship. The system was created by...