Studies in the extensively automatic construction of large odds-based inference networks from structured data. Examples from medical, bioinformatics, and health insurance claims data
Sign Up to like & getrecommendations! Published in 2018 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2018.02.013
Abstract: Theoretical and methodological principles are presented for the construction of very large inference nets for odds calculations, composed of hundreds or many thousands or more of elements, in this paper generated by structured data mining.… read more here.
Keywords: construction large; claims data; health; structured data ... See more keywords
Use of unstructured text in prognostic clinical prediction models: a systematic review
Sign Up to like & getrecommendations! Published in 2022 at "Journal of the American Medical Informatics Association : JAMIA"
DOI: 10.1093/jamia/ocac058
Abstract: Objective: This systematic review aims to assess how information from unstructured clinical text is used to develop and validate prognostic risk prediction models. We summarize the prediction problems and methodological landscape and assess whether using… read more here.
Keywords: systematic review; prediction models; prediction; text ... See more keywords
Three-Way Merging Algorithm for Structured Data
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3581684
Abstract: A general problem in multi-node systems is data synchronization, where the most used method uses synchronous data updating. All changes made by the user are immediately reflected in the data shared with other users. This… read more here.
Keywords: algorithm structured; way merging; way; three way ... See more keywords
Generative Kernels for Tree-Structured Data
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2017.2785292
Abstract: This paper presents a family of methods for the design of adaptive kernels for tree-structured data that exploits the summarization properties of hidden states of hidden Markov models for trees. We introduce a compact and… read more here.
Keywords: generative kernels; topology; kernels tree; structured data ... See more keywords
Tree2Vector: Learning a Vectorial Representation for Tree-Structured Data
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2018.2797060
Abstract: The tree structure is one of the most powerful structures for data organization. An efficient learning framework for transforming tree-structured data into vectorial representations is presented. First, in attempting to uncover the global discriminative information… read more here.
Keywords: vector; vectorial representation; structured data; tree structured ... See more keywords
Multigranularity Deep Graph Convolutional Neural Network Node Clustering Leveraging Spatial Information.
Sign Up to like & getrecommendations! Published in 2025 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2025.3615830
Abstract: In the era of information explosion, clustering analysis of graph-structured data and empty graph-structured data is of great significance for extracting the intrinsic value of data. From the perspective of spatial information, empty graph-structured data… read more here.
Keywords: structured data; graph structured; empty graph; graph ... See more keywords
TextTile: An Interactive Visualization Tool for Seamless Exploratory Analysis of Structured Data and Unstructured Text
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Visualization and Computer Graphics"
DOI: 10.1109/tvcg.2016.2598447
Abstract: We describe TextTile, a data visualization tool for investigation of datasets and questions that require seamless and flexible analysis of structured data and unstructured text. TextTile is based on real-world data analysis problems gathered through… read more here.
Keywords: analysis structured; analysis; unstructured text; data unstructured ... See more keywords
Review: A Roadmap to Use Nonstructured Data to Discover Multitarget Cancer Therapies.
Sign Up to like & getrecommendations! Published in 2023 at "JCO clinical cancer informatics"
DOI: 10.1200/cci.22.00096
Abstract: Therapy resistance to single agents has led to the realization that combination therapies could become the cornerstone of cancer treatment. To operationalize the selection of effective and safe multitarget therapies, we propose to integrate chemical… read more here.
Keywords: preclinical clinical; structured data; roadmap use; review roadmap ... See more keywords
Validation of metastatic breast cancer (mBC) diagnosis in structured electronic health record (EHR) data vs chart-curated verification using the IntegraConnect Precision-Q (IC PQ) de-identified database.
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Clinical Oncology"
DOI: 10.1200/jco.2025.43.16_suppl.e23147
Abstract: e23147 Background: Leveraging EHR data to study cancer provides details from physician notes and scanned reports not available in claims data. The IC PQ De-Identified Database contains harmonized structured and unstructured EHR components from community… read more here.
Keywords: oncology; diagnosis; structured data; specificity ... See more keywords
Secondary Use of Healthcare Structured Data: The Challenge of Domain-Knowledge Based Extraction of Features
Sign Up to like & getrecommendations! Published in 2018 at "Studies in health technology and informatics"
DOI: 10.3233/978-1-61499-921-8-15
Abstract: Secondary use of clinical structured data takes an important place in healthcare research. It was first described by Fayyad as "knowledge discovery in databases". Feature extraction is an important phase but received little attention. The… read more here.
Keywords: extraction; knowledge; secondary use; healthcare ... See more keywords
Decoding Immuno-Competence: A Novel Analysis of Complete Blood Cell Count Data in COVID-19 Outcomes
Sign Up to like & getrecommendations! Published in 2024 at "Biomedicines"
DOI: 10.3390/biomedicines12040871
Abstract: Background: While ‘immuno-competence’ is a well-known term, it lacks an operational definition. To address this omission, this study explored whether the temporal and structured data of the complete blood cell count (CBC) can rapidly estimate… read more here.
Keywords: cell count; structured data; blood cell; complete blood ... See more keywords