Now showing items 1-20 of 488

    • Semantic Technologies for Clinically Relevant Personal Health Applications 

      Chen, Ching-Hau; Gruen, Daniel; Harris, Jonathan; Hendler, Jim; 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. ...
    • Guiding principles for technical infrastructure to support computable biomedical knowledge 

      McCusker, Jamie; McIntosh, Leslie D.; Shaffer, Chris; Boisvert, Peter; Ryan, James; Navale, Vivek; Topaloglu, Umit; Richesson, Rachel L. (Wiley Periodicals LLC, 2022-11-01)
      Over the past 4 years, the authors have participated as members of the Mobilizing Computable Biomedical Knowledge Technical Infrastructure working group and focused on conceptualizing the infrastructure required to use ...
    • Knowledge Graph Construction from Data, Data Dictionaries, and Codebooks: the National Health and Nutrition Examination Surveys Use Case 

      Santos, Henrique; Pinheiro, Paulo; McGuinness, Deborah (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; 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 ...
    • Should we tweet this? Generative response modeling for predicting reception of public health messaging on Twitter 

      Sanders, Abraham; Ray-Majumder, Debjani; Erickson, John; Bennett, Kristin P. (Association for Computing Machinery, New York, NY, USA, 2022-07-01)
      The way people respond to messaging from public health organizations on social media can provide insight into public perceptions on critical health issues, especially during a global crisis such as COVID-19. It could be ...
    • DeFi Survival Analysis: Insights into Risks and User Behavior 

      Green, Aaron; Cammilleri, Christopher; Erickson, John; Seneviratne, Oshani; Bennett, Kristin (Springer, 2022-06)
      We propose a decentralized finance (DeFi) survival analysis approach for discovering and characterizing user behavior and risks in lending protocols. We demonstrate how to gather and prepare DeFi transaction data for ...
    • Designing a strong test for measuring true common-sense reasoning 

      Kejriwal, Mayank; Santos, Henrique; Mulvehill, Alice; McGuinness, Deborah (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, ...
    • A Mathematics Pipeline to Student Success in Data Analytics through Course-Based Undergraduate Research 

      Bennett, Kristin; Erickson, John; Svirsky, Amy; Seddon, Josephine (The Mathematics Enthusiast, 2021-12-16)
      This paper reports on Data Analytics Research (DAR), a course-based undergraduate research experience (CURE) in which undergraduate students conduct data analysis research on open real- world problems for industry, university, ...
    • InDO: the Institute Demographic Ontology 

      Keshan, Neha; Fontaine, Kathy; Hendler, Jim (Iberoamerican Knowledge Graphs and Semantic Web Conference. Springer, Cham, 2021., 2021-11-22)
      Graduate education institutes in the United States (US) have been working on programs to increase the number of students and faculty from marginalized communities. When choosing to pursue a doctoral degree, the common ...
    • Geospatial Reasoning with shapefiles for Supporting Policy Decisions 

      Santos, Henrique; McCusker, Jamie; McGuinness, Deborah (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; 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 ...
    • AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-Ray 

      Agu, Nkechinyere; Wu, Joy T.; Chao, Hanqing; Lourentzou, Ismini; Sharma, Arjun; Moradi, Mehdi; Yan, Pingkun; Hendler, Jim (Springer-Verlag, Berlin, Heidelberg, 2021-09-27)
      Radiologists usually observe anatomical regions of chest X-ray images as well as the overall image before making a decision. However, most existing deep learning models only look at the entire X-ray image for classification, ...
    • 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 (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 ...
    • An experimental study measuring human annotator categorization agreement on commonsense sentences 

      Santos, Henrique; Kejriwal, Mayank; Mulvehill, Alice; Forbush, Gretchen; McGuinness, Deborah (Experimental Results, 2021-06-18)
      Developing agents capable of commonsense reasoning is an important goal in Artificial Intelligence (AI) research. Because commonsense is broadly defined, a computational theory that can formally categorize the various kinds ...
    • Building a Social Machine for Graduate Mobility 

      Keshan, Neha (13th ACM Web Science Conference 2021, 2021., 2021-06-01)
      The paper discusses the construction of a social machine to solve a complex problem faced by doctoral students: “What Comes Next?” especially important during this pandemic when many traditional career paths have been ...
    • Towards a Domain-Agnostic Computable Policy Tool 

      Falkow, Mitchell; Santos, Henrique; McGuinness, Deborah (2021-06-01)
      Policies are often crucial for decision-making in a wide range of domains. Typically they are written in natural language, which leaves room for different individual interpretations. In contrast, computable policies offer ...
    • Exploring and Analyzing Machine Commonsense Benchmarks 

      Santos, Henrique; Gordon, Minor; Liang, Jason; Forbush, Gretchen; McGuinness, Deborah (2021-02-01)
      Commonsense question-answering (QA) tasks, in the form of benchmarks, are constantly being introduced for challenging and comparing commonsense QA systems. The benchmarks provide question sets that systems’ developers can ...
    • Ingredient Substitutions Using a Knowledge Graph of Food 

      Shirai, Sola; Seneviratne, Oshani; Gordon, Minor; Chen, Ching Hua; McGuinness, Deborah (2021-01-25)
      People can affect change in their eating patterns by substituting ingredients in recipes. Such substitutions may be motivated by specific goals, like modifying the intake of a specific nutrient or avoiding a particular ...
    • Commonsense Knowledge Mining from Term Definitions 

      Liang, Jason; McGuinness, Deborah (2021-01-02)
      Commonsense knowledge has proven to be beneficial to a variety of application areas, including question answering and natural language understanding. Previous work explored collecting commonsense knowledge triples automatically ...
    • Provenance in Data Science: From Data Models to Context-Aware Knowledge Graphs 

      McGuinness, Deborah; Seneviratne, Oshani; Sikos, Leslie (Springer, Cham, 2021)
      Presents a collection of provenance techniques and state-of-the-art metadata-enhanced, provenance-aware, knowledge graph-based representations to be used for information processing, management, aggregation, fusion, and ...