Artificial Intelligence Tools and Open Data Practices for EPA Chemical Hazard Assessments Proceedings of a Workshop–in Brief (2022) / Chapter Skim
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Artificial Intelligence Tools and Open Data Practices for EPA Chemical Hazard Assessments: Proceedings of a Workshop - in Brief
Artificial Intelligence Tools and Open Data Practices for EPA Chemical Hazard Assessments: Proceedings of a Workshop - in Brief
Pages 1-12
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to explore opportunities Recent advances in AI, machine learning, and data science and challenges in using advances in artificial intelligence hold the promise of using computer-assisted tools to (AI) and data science to enhance human health risk increase the efficiency of SR methods.
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Robinson, Johns Hopkins University (EPA) • Olwenn Martin, University College London • Sean Watford, EPA • Derek Lord, Evidence Partners Topic: Optimizing Data Extraction for Evidence Synthesis • Eitan Agai, PICO Portal Moderator: Byron Wallace, Northeastern University • Artur Nowak, Evidence Prime • Weida Tong, U.S.
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to develop a standard data model, referred to as Biolink The topics discussed included how to weigh the evidence Model, for knowledge graphs. The project seeks to bring to be used for taxonomizing; recruiting individuals with together a number of different automated systems, the expertise needed to develop and apply AI methods; knowledge sources, and knowledge providers, so that a obtaining training data for AI tools, transparency user can ask questions such as what chemicals or drugs in the use of complex models; and various uses of may be used to treat certain neurological disorders that crowdsourcing approaches.
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van de Schoot presented several principles in using any ADDRESSING CHALLENGES FOR APPLYING SYSTEMATIC REVIEW software package that implements AI: METHODS USING ARTIFICIAL INTELLIGENCE In the next session of the workshop, Malcolm Macleod • humans being in control, (University of Edinburgh) discussed the limitations of • a completely open and transparent application, human screening for SRs that can become incorporated • application using an unbiased estimate, into computer-assisted screening tools.
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Fries said a potential direction for programmatic labeling is natural language prompting in which people write OPTIMIZING DATA EXTRACTION FOR EVIDENCE SYNTHESIS AND insights as natural language instruction, instead of using HIGH-LEVEL DECISION-MAKING programming language. This could open the labeling Weida Tong (U.S.
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future plans call for the extraction of study results, Walker said. USING ARTIFICIAL INTELLIGENCE TOOLS AND RESOURCES IN SYSTEMATIC REVIEW Brian Howard (Sciome, LLC)
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Researchers can also save their own ontologies. Musen also shared details An Excel-based tool called Abstract Sifter was presented about the Center for Expanded Data Annotation and by Nancy Baker (Leidos)
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PICO Portal, an online SR platform, is multidisciplinary teams processing literature searches. designed to serve evidence synthesis projects of any HERO also offers a keyword-free search called citation size or scale, Agai said.
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The vast knowledge graphs through links curated by humans, and majority of the literature is still unstructured data in those predicted by AI. the form of PDF, noted Agai, adding that researchers and academics are not under a lot of pressure to adapt Iain Marshall (King's College London)
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about the use exploring the idea of rigor. He noted that SR requires of AI tools and open data practices in chemical hazard "high precision and high recall," and one strategy is to assessments.
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for evidence synthesis and decision-making, Wallace emphasized a need for more training data and labeled Wallace commented that a useful project would be to data. He mentioned the potential benefit of using train an AI tool to convert PDFs in the open-access alternative supervision strategies to extract data, such subset in PubMed Central into XML.
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2022. Artificial Intelligence Tools Sciences; LAURA BEANE FREEMAN, National Cancer Institute; and Open Data Practices for EPA Chemical Hazard Assessments: NICHOLAS CHARTRES, University of California, San Francisco; Proceedings of a Workshop -- in Brief.
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