Results 1 to 10 of about 3,924,108 (319)
Improving reliability and accuracy of structured data extraction using a consensus large-language model approach–a use case description in multiple sclerosis [PDF]
Frontiers in Artificial IntelligenceBackgroundThe absence of standardization in the documentation of routine clinical data complicates research usage of retrospective data on a large-scale basis.
Philip Lennart Poser +7 more
doaj +2 more sources
Structured data vs. unstructured data in machine learning prediction models for suicidal behaviors: A systematic review and meta-analysis [PDF]
Frontiers in Digital Health, 2022 Suicide remains a leading cause of preventable death worldwide, despite advances in research and decreases in mental health stigma through government health campaigns.
Danielle Hopkins +3 more
doaj +2 more sources
Doubly Structured Data Synthesis for Time-Series Energy-Use Data [PDF]
SensorsAs the demand for efficient energy management increases, the need for extensive, high-quality energy data becomes critical. However, privacy concerns and insufficient data volume pose significant challenges.
Jiwoo Kim +4 more
doaj +2 more sources
Biomedical Scholarly Article Editing and Sharing using Holistic Semantic Uplifting Approach
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2022 Efficient practices to provide access to biomedical publications facilitate the timely transfer of information from the scientific research community to peer investigators and other healthcare practitioners. At present, the portable document format (PDF)
Asim Abbas +4 more
doaj +1 more source
Explaining Deep Learning Models for Tabular Data Using Layer-Wise Relevance Propagation
Applied Sciences, 2021 Trust and credibility in machine learning models are bolstered by the ability of a model to explain its decisions. While explainability of deep learning models is a well-known challenge, a further challenge is clarity of the explanation itself for ...
Ihsan Ullah +3 more
doaj +1 more source
Sequence Embeddings Help Detect Insurance Fraud
IEEE Access, 2022 Roughly 10 percent of the insurance industry’s incurred losses are estimated to stem from fraudulent claims. One solution is to use tabular data to construct models that can distinguish between claims that are legitimate and those that are ...
Ivan Fursov +6 more
doaj +1 more source
Oblivious Data Structures [PDF]
Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security, 2014 We design novel, asymptotically more efficient data structures and algorithms for programs whose data access patterns exhibit some degree of predictability. To this end, we propose two novel techniques, a pointer-based technique and a locality-based technique.
Liu, C +6 more
openaire +2 more sources
Learning About Metadata and Machines: Teaching Students Using a Novel Structured Database Activity
Journal of Communication Pedagogy, 2021 Machines produce and operate using complex systems of metadata that need to be catalogued, sorted, and processed. Many students lack the experience with metadata and sufficient knowledge about it to understand it as part of their data literacy skills ...
Andrew Iliadis +3 more
doaj +1 more source
The emerging role of real-world data in oncology care in Japan
ESMO Real World Data and Digital Oncology, 2023 While the number of newly approved anticancer therapies has increased substantially in the past decade, there remains a need to bring effective treatments to patients more efficiently.
H. Bando +17 more
doaj +1 more source
ACM Transactions on Programming Languages and Systems, 1981 Text is not the only data that needs editing. For example, interactive debuggers edit data structures internal to running programs. This paper describes eds, a generalized editor that allows users to edit arbitrary data structures. Examples show eds maintaining simple databases, editing LISP S-expressions, debugging SNOBOL4 programs, and creating and ...
Fraser, Christopher W., Lopez, A. A.
openaire +2 more sources