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A Poisson binomial-based statistical testing framework for comorbidity discovery across electronic health record datasets
Discovering the concomitant occurrence of distinct medical conditions in a patient, also known as comorbidities, is a prerequisite for creating...
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Discovery, Retrieval
This chapter describes the emergence of the differentiation between traditional librarianship with its focus on collections, which has become...
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A framework for REST services discovery and composition
The increasing number of Restful web services/Rest APIs and their adoption by leading Internet companies grabbed the attention of the industry as...
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Graph contrastive learning with cross-encoder for community discovery
Community detection is a crucial task that enables the extraction of valuable knowledge and patterns from complex networks. However, the node labels...
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Machine-Learning for Static and Dynamic Electronic Structure Theory
Machine learning has emerged as a powerful technique for processing large and complex datasets. Recently it has been utilized for both improving the...
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MISATO: machine learning dataset of protein–ligand complexes for structure-based drug discovery
Large language models have greatly enhanced our ability to understand biology and chemistry, yet robust methods for structure-based drug discovery,...
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Analyzing Healthcare Processes with Incremental Process Discovery: Practical Insights from a Real-World Application
AbstractMost process mining techniques are primarily automated, meaning that process analysts input information and receive output. As a result,...
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Securing the Future: The Role of Knowledge Discovery Frameworks
Knowledge society differentiates between information and knowledge, with a focus on generating, processing, transforming, and using information to...
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Automatic Identification of Table Contents in Electronic Component Specifications of EDA
With the rapid advancement of technology, the electronics industry has flourished in recent decades. Electronic products such as computers, mobile...
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User Interaction and Response-Based Knowledge Discovery Framework
The World Economic Forum in Davos in 2022 raised the issue of knowledge by describing the situation as follows: “It could be that we are drowning in...
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Research on application framework of electronic document business based on big data technology
With the rapid development of big data technology, electronic documents are more and more widely used. Aiming at the characteristics of large amount...
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Hypert : hypernymy-aware BERT with Hearst pattern exploitation for hypernym discoveryHypernym discovery is challenging because it aims to find suitable instances for a given hyponym from a predefined hypernym vocabulary. Existing...
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Enhancing knowledge discovery and management through intelligent computing methods: a decisive investigation
Knowledge Discovery and Management (KDM) encompasses a comprehensive process and approach involving the creation, discovery, capture, organization,...
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Defect graph neural networks for materials discovery in high-temperature clean-energy applications
We present a graph neural network approach that fully automates the prediction of defect formation enthalpies for any crystallographic site from the...
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Construction of Precision Medical Model Based on Electronic Medical Records
As an emerging research hot spot, precision medicine makes good use of electronic medical record data information to promote the development and...
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Resource discovery approaches in cloudIoT: a systematic review
The cloud of things (CloudIoT) represents a general system of supporting infrastructure for storing and processing information gathered from smart...
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Knowledge discovery and variable scale evaluation for long series data
Knowledge discovery and evaluation is a challenging but rewarding process of obtaining available information automatically from database. Due to the...
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A topic discovery approach for unsupervised organization of legal document collections
Technology has substantially transformed the way legal services operate in many different countries. With a large and complex collection of digitized...
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Unlocking the Potential of Generative Artificial Intelligence in Drug Discovery
Deep generative models have been widely employed across diverse fields, ranging from image and video analysis to natural language processing. In...