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A data-driven approach to patient blood management
2013
Transfusion
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Data derived from this work have allowed us to target our PBM efforts. ...
Data from audits are compiled into reports and distributed to medical directors. Data are also used to target education efforts. ...
we will soon be updating our approach by pulling data directly from the EMR's list of diagnoses, or ICD-9 codes, assigned to a patient. ...
doi:10.1111/trf.12276
pmid:23772663
fatcat:aom6ckqs3jgjrdd5lpy3tyqoqu
A Big Data-Driven Approach to Analyze the Influencing Factors of Enterprise's Technological Innovation
2022
Computational Intelligence and Neuroscience
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We proposed a methodology to conduct an intelligent analysis for enterprise's technological innovation under the data-driven. ...
A data-driven intelligent analysis method is proposed in this paper to explore and identify the enterprise's technological innovation influencing factors. ...
Text mining generally refers to the process of extracting valuable, nontrivial patterns or knowledge from a large amount of unstructured or semi-structured text files. erefore, text mining provides an ...
doi:10.1155/2022/3785685
pmid:35126489
pmcid:PMC8808195
fatcat:shlz7rplljaixiphvgwjgqefqe
Data Driven Wireless Network Design: A Multi-level Modeling Approach
2016
Wireless personal communications
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One such method is data driven multi-level analysis that uses the monitoring data collected from real-world networks to provide detailed insight, at several levels and/or scales, into the system behavior ...
This paper discusses data driven multi-level analysis, provides a proof of concept on how it can be applied and identifies challenges. ...
Acknowledgments We would like to acknowledge Tomaz Š olc for sharing the data collected by the LOGa-TEC wireless testbed monitoring system. ...
doi:10.1007/s11277-016-3242-8
fatcat:e26vwn4kyfapjcc5jcaquglqcq
A Data-Driven Approach for Video Game Playability Analysis Based on Players' Reviews
2021
Information
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Guided by the game-as-system definition of playability, the approach is a data mining pipeline where sentiment analysis, binary classification, multi-label text classification, and topic modeling are sequentially ...
Thus, this paper proposes an approach to analyze the playability of video games by mining a large number of players' opinions from their reviews. ...
Herein, we propose a data-driven video game playability analysis approach based on the collection of player textual reviews. ...
doi:10.3390/info12030129
fatcat:zwxlpkbjavchjk6pb6rbnh2v7u
Data-Driven Approach for Incident Management in a Smart City
2020
Applied Sciences
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This study aims to apply a data-driven approach towards knowledge extraction from past incident data, nowadays available in the context of a Smart City. ...
We apply a Cross Industry Standard Process for Data Mining (CRISP-DM) approach to perform incident management of the city of Lisbon. ...
We highlight data/text mining and statistical analysis. ...
doi:10.3390/app10228281
fatcat:qfbsrggrbzejhbo5tnav34bkwa
A Data-Driven Case-Based Reasoning Approach to Interactive Storytelling
[chapter]
2010
Lecture Notes in Computer Science
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In this paper we describe a data-driven interactive storytelling system similar to previous work by Gordon & Swanson. ...
The end result is a computer agent capable of contributing to stories that are nearly indistinguishable form entirely human written ones to outside observers. ...
Swanson & Gordon [16] first proposed a large-scale data driven approach that decouples the authoring process from the narrative decision process by completely separating the content authoring from the ...
doi:10.1007/978-3-642-16638-9_23
fatcat:tkpihgnbmvdr5nv4u6frcz3mfm
Extracting Value from Industrial Alarms and Events: A Data-Driven Approach Based on Exploratory Data Analysis
2019
Sensors
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Coping with that, this work proposes the use of Exploratory Data Analysis (EDA) as a promising data-driven approach to pave industrial alarm and event analysis. ...
Though, the current massive data-exchange, high efficiency and strong competitiveness landscape, boosted by Industry 4.0 and IIoT (Industrial Internet of Things) paradigms, does not accommodate such a ...
Coping with that, this work proposes a data-driven approach in line with those above-mentioned trends, to be applied to a specific class of industrial data: event and alarm logs from alarm management systems ...
doi:10.3390/s19122772
fatcat:xdg7j2t5b5ahxgn6tsgjlw4oeu
Learning hidden influences in large-scale dynamical social networks: A data-driven sparsity-based approach
[article]
2020
arXiv
pre-print
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Then, we review the main approaches to infer the network's structure from a set of observed data. ...
Interpersonal influence estimation from empirical data is a central challenge in the study of social structures and dynamics. ...
work’s structure from a set of observed data. ...
arXiv:2007.06713v2
fatcat:mxunepbsnrdrtavdyfdbwzohlq
A Data-driven Approach to Improve Control Room Operators' Response
2021
Chemical Engineering Transactions
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Data-driven methods may be adopted to develop predictive models and support a proactive approach to process safety. ...
In this context, Machine Learning techniques may be used to exploit and retrieve knowledge from the large amount of data that chemical plants produce and store on a daily basis. ...
Acknowledgments The authors would like to acknowledge Yara International for supplying the data and for the valuable support. ...
doi:10.3303/cet2186127
doaj:bc635b21b31042beaf0af3e4fdb9b62d
fatcat:6dkwuesegvajpijiekve2keuhe
Identifying Similarities of Big Data Projects – A Use Case Driven Approach
2020
IEEE Access
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for data-driven problems. ...
In this case, a robust storage solution for massive amounts of differently structured data should be used, such as a NoSQL database. ...
doi:10.1109/access.2020.3028127
fatcat:y2zgapbdmbhc7cxlkqq6obbfrm
A data-driven approach to studying changing vocabularies in historical newspaper collections
2021
Zenodo
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The aim in this article was to develop a data-driven method using dependency parsing and neural word embeddings to clarify some of the vagueness in the evolution of this concept. ...
To our knowledge, thus far there have been no large-scale comparative studies of this kind that purport to grasp long-term developments in as many as four different languages in a data-driven way. ...
. 12 The changes in corpus size over time bins poses a problem for any computational text-mining task. ...
doi:10.5281/zenodo.5783069
fatcat:xmtfvua55rettiwwteoulw26zq
Building an Arabic Flight Booking Dialogue System Using a Hybrid Rule-Based and Data Driven Approach
2021
IEEE Access
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Data-driven DSs require a massive quantity of training data, while rule-based DSs rely on a predefined set of rules and keywords that are to be detected in the user's utterances. ...
In this article, we propose a hybrid rule-based and data-driven approach in a textbased flight booking DS capable of handling customer's utterances. ...
What distinguishes our DS from others, is the proposed approach, a combination of data-driven and rule-based approaches within a pipeline system architecture. ...
doi:10.1109/access.2021.3049732
fatcat:ezr2yfrhmvc25kihjuaxf5i4fq
A DATA-DRIVEN APPROACH TO IDENTIFY-QUANTIFY-ANALYSE CONSTRUCTION RISK FOR HONG KONG NEC PROJECTS
2018
Journal of Civil Engineering and Management
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As such, a data-driven approach is proposed to categorise common risks of NEC projects and to analyse risk rating of risk categories by combining the use of text mining analysis and decision tree analysis ...
However, it is time-consuming to identify, quantify, and analyse NEC project risks based on experience, questionnaire, simulation, and data-mining approach. ...
Natural language processing (NLP), which is a linguistic-based text mining technique, is deployed to extract and categorise key concepts from unstructured text data. ...
doi:10.3846/jcem.2018.6483
fatcat:2ldlicwc6rfqxd7d3ta7lsjjcq
A Data-Driven Approach to Infer Knowledge Base Representation for Natural Language Relations
2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence
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to support more complex semantics.We present a search algorithm to generate schemas over a knowledge base, and propose a data-driven learning approach to discover the most suitable representations to ...
This paper studies the problem of discovering the structured knowledge representation of binary natural language relations.The representation, known as the schema, generalizes the traditional path of predicates ...
schemas (Section 3.1); • We propose a data-driven approach to model the schema inference problem as a querying task, and thus compute the probability distribution over schemas, given a natural language ...
doi:10.24963/ijcai.2017/163
dblp:conf/ijcai/LuoLCZ17
fatcat:woo5z3tykjehvh4smpm4klpwxa
A Data Driven Approach for the Science of Cyber Security: Challenges and Directions
2016
2016 IEEE 17th International Conference on Information Reuse and Integration (IRI)
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This paper describes a data driven approach to studying the science of cyber security (SoS). It argues that science is driven by data. ...
, and (iii) A Risk-based Approach to Security Metrics. ...
We already see evidence of the applicability and effectiveness of a data driven approach. ...
doi:10.1109/iri.2016.10
dblp:conf/iri/ThuraisinghamKH16
fatcat:tjclsakmazazbls4r3lk5uv4dq
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