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
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
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
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
Pneumonia and Pulmonary Thromboembolism Classification Using Electronic Health Records
Sign Up to like & getrecommendations! Published in 2022 at "Diagnostics"
DOI: 10.3390/diagnostics12102536
Abstract: Pneumonia and pulmonary thromboembolism (PTE) are both respiratory diseases; their diagnosis is difficult due to their similarity in symptoms, medical subjectivity, and the large amount of information from different sources necessary for a correct diagnosis.… read more here.
Keywords: pneumonia pulmonary; diagnosis; decision; pulmonary thromboembolism ... See more keywords
Structured Data REST Protocol for End to End Data Mashup
Sign Up to like & getrecommendations! Published in 2018 at "Future Internet"
DOI: 10.3390/fi10100098
Abstract: Due to the exponential growth of the data and its services, visiting multiple webs/apps by a user raises three issues—(1) consumption of extra bytes; (2) time killing process of surfing inside the webs/apps; (3) tedious… read more here.
Keywords: rest protocol; user; structured data; data mashup ... See more keywords