Browsing Tetherless World Publications by Author "McGuinness, Deborah L."

Now showing items 1-20 of 291

    • Semantically enabling clinical decision support recommendations 

      Seneviratne, Oshani; Das, Amar K.; Chari, Shruthi; Agu, Nkechinyere N.; Rashid, Sabbir M.; McCusker, Jamie P.; Franklin, Jade S.; Qi, Miao; Bennett, Kristin P.; Chen, Ching-Hua; Hendler, James A.; McGuinness, Deborah L. (BMC/Springer Nature, 2023-07-18)
      Background Clinical decision support systems have been widely deployed to guide healthcare decisions on patient diagnosis, treatment choices, and patient management through evidence-based recommendations. These recommendations ...

    • Towards an Indoor Environmental Quality Management Ontology 

      Chung, Jihoon; Jacoby-Cooper, Gabriel; Rook, Kelsey; Santos, Henrique; Shelden, Dennis; Kendall, Elisa F.; McGuinness, Deborah L. (First International Workshop on Semantic Web on Constrained Things @ESWC-23 (SWoCoT-23), 2023-05)
      Buildings consume one-third of the world’s energy and are some of the major energy consumers on the planet. Occupants use this energy for enhancing indoor environmental quality (IEQ) which is affected by many factors ...

    • Whyis 2: An Open Source Framework for Knowledge Graph Development and Research 

      McCusker, Jamie; McGuinness, Deborah L. (Springer, 2023-03-23)
      Whyis is the first open source framework for creating custom provenance-driven knowledge graph applications, or KGApps, support- ing three principal tasks: knowledge curation, inference, and interaction. It has been used ...

    • Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes 

      Chari, Shruthi; Acharya, Prasant; Gruen, Daniel M.; Zhang, Olivia; Eyigoz, Elif K.; Ghalwash, Mohamed; Seneviratne, Oshani; Saiz, Fernando Suarez; Meyer, Pablo; Chakraborty, Prithwish; McGuinness, Deborah L. (Elsevier, 2023-02)
      Medical experts may use Artificial Intelligence (AI) systems with greater trust if these are supported by ‘contextual explanations’ that let the practitioner connect system inferences to their context of use. However, their ...

    • Semantic Technologies for Clinically Relevant Personal Health Applications 

      Chen, Ching-Hau; Gruen, Daniel; Harris, Jonathan; Hendler, James A.; McGuinness, Deborah L.; Monti, Marco; Rastogi, Nidhi; Seneviratne, Oshani; Zaki, Mohammed J (Springer, 2022-11-23)
      Despite recent advances in digital health solutions and machine learning, personal health applications that aim to modify health behaviors are still limited in their ability to offer more personalized decision support. ...

    • Knowledge Graph Construction from Data, Data Dictionaries, and Codebooks: the National Health and Nutrition Examination Surveys Use Case 

      Santos, Henrique; Pinheiro, Paulo; McGuinness, Deborah L. (2022-09-29)
      CDC’s National Health and Nutrition Examination Surveys (NHANES) is a continuous survey that aims to study the relationship between diet, nutrition, and health and their roles in designated population subgroups with selected ...

    • Differences in Cancer Phenotypes Among Frequent CHEK2 Variants and Implications for Clinical Care—Checking CHEK2 

      Bychkovsky, Brittany L; Agaoglu, Nihat B; Horton, Carolyn; Zhou, Jing; Yussuf, Amal; Hemyari, Parichehr; Richardson, Marcy E; Young, Colin; LaDuca, Holly; McGuinness, Deborah L.; Scheib, Rochelle; Garber, Judy E; Rana, Huma Q (JAMA Oncol., 2022-09-22)
      Importance Germline CHEK2 pathogenic variants (PVs) are frequently detected by multigene cancer panel testing (MGPT), but our understanding of PVs beyond c.1100del has been limited. Objective To compare cancer phenotypes ...

    • An Ontology for Fairness Metrics 

      Franklin, Jade S; Bhanot, Karan; Ghalwash, Mohamed; Bennett, Kristin P.; McCusker, Jamie; McGuinness, Deborah L. (ACM, 2022-07)
      Recent research has revealed that many machine-learning models and the datasets they are trained on suffer from various forms of bias, and a large number of different fairness metrics have been created to measure this bias. ...

    • FAIR and Interactive Data Graphics from a Scientific Knowledge Graph 

      Deagen, Michael E.; McCusker, Jamie; Fateye, Tolulomo; Stouffer, Samuel; Brinson, L. Cate; McGuinness, Deborah L.; Schadler, Linda S. (Nature Scientific Data, 2022-05)
      Graph databases capture richly linked domain knowledge by integrating heterogeneous data and metadata into a unified representation. Here, we present the use of bespoke, interactive data graphics (bar charts, scatter plots, ...

    • Designing a strong test for measuring true common-sense reasoning 

      Kejriwal, Mayank; Santos, Henrique; Mulvehill, Alice; McGuinness, Deborah L. (Nature Machine Intelligence, 2022-04-22)
      Common-sense reasoning has recently emerged as an important test for artificial general intelligence, especially given the much-publicized successes of language representation models such as T5, BERT and GPT-3. Currently, ...

    • Understanding Clinician Workflows to Design AI Risk Prediction Models 

      Zhang, O.; Chari, Shruthi; Saiz, F. S.; Gruen, Daniel; Acharya, P.; Seneviratne, Oshani; Meter, P.; McGuinness, Deborah L.; Chakraborty, P. (AMIA, 2022-04)

    • A Theoretically Grounded Benchmark for Evaluating Machine Commonsense 

      Santos, Henrique; Shen, Ke; Mulvehill, Alice M.; Razeghi, Yasaman; McGuinness, Deborah L.; Kejriwal, Mayank (arXiv, 2022-03)
      Programming machines with commonsense reasoning (CSR) abilities is a longstanding challenge in the Artificial Intelligence community. Current CSR benchmarks use multiple-choice (and in relatively fewer cases, generative) ...

    • Incentivized Research Data Sharing, Reusing, and Repurposing with Blockchain Technologies 

      Seneviratne, Oshani; McGuinness, Deborah L. (University of Hawaii at Manoa, 2022)
      Data sharing is very important for accelerating scientific research, business innovations, and for informing individuals. Yet, concerns over data privacy, cost, and lack of secure data-sharing solutions have prevented data ...

    • Towards Clinically Relevant Explanations for Type-2 Diabetes Risk Prediction with the Explanation Ontology 

      Chari, Shruthi; Chakraborty, Prithwish; Seneviratne, Oshani; Ghalwash, Mohamed; Gruen, Daniel M.; Sow, Daby; McGuinness, Deborah L. (AMIA, 2021-11)

    • Enhancing Clinical Relevance of Health Behavior Insights via Semantics 

      Harris, Jonathan; McGuinness, Deborah L.; Monti, Marco; Seneviratne, Oshani; Zaki, Mohammed J.; Chen, Ching-Hua (AMIA, 2021-11)

    • Geospatial Reasoning with shapefiles for Supporting Policy Decisions 

      Santos, Henrique; McCusker, Jamie; McGuinness, Deborah L. (2021-10-12)
      Policies are authoritative assets that are present in multiple domains to support decision-making. They describe what actions are allowed or recommended when domain entities and their attributes satisfy certain criteria. ...

    • Dimensions of Commonsense Knowledge 

      Ilievski, Filip; Oltramari, Alessandro; Ma, Kaixin; Zhang, Bin; McGuinness, Deborah L.; Szekely, Pedro (Knowledge-Based Systems, 2021-10-11)
      Commonsense knowledge is essential for many AI applications, including those in natural language processing, visual processing, and planning. Consequently, many sources that include commonsense knowledge have been designed ...

    • Personal Health Knowledge Graph for Clinically Relevant Diet Recommendations 

      Seneviratne, Oshani; Harris, Jonathan; Chen, Ching-Hua; McGuinness, Deborah L. (AKBC, 2021-10)
      We propose a knowledge model for capturing dietary preferences and personal context to provide personalized dietary recommendations. We develop a knowledge model called the Personal Health Ontology, which is grounded in ...

    • Leveraging Clinical Context for User-Centered Explainability: A Diabetes Use Case 

      Chari, Shruthi; Chakraborty, Prithwish; Ghalwash, Mohamed; Seneviratne, Oshani; Eyigöz, Elif; Gruen, Daniel; Suarez Saiz, Fernando; Chen, Ching Hua; Meyer Rojas, Pablo; McGuinness, Deborah L. (CoRR, 2021-07-01)
      Academic advances of AI models in high-precision domains, like healthcare, need to be made explainable in order to enhance real-world adoption. Our past studies and ongoing interactions indicate that medical experts can ...

    • Immunogenicity of PCV24, an expanded pneumococcal conjugate vaccine, in adult monkeys and protection in mice 

      McGuinness, Deborah L.; Kaufhold, Robin M.; McHugh, Patrick M.; Winters, Michael A.; Smith, William J.; Giovarelli, Cecilia; He, Jian; Zhang, Yuhua; Musey, Luwy; Skinner, Julie M. (2021-07)
      Invasive pneumococcal disease (IPD) is responsible for serious illnesses such as bacteremia, sepsis, meningitis, and pneumonia in young children, older adults, and persons with immunocompromising conditions and often leads ...