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A data-driven approach to patient blood management

Claudia S. Cohn, Julie Welbig, Robert Bowman, Susan Kammann, Katherine Frey, Nicole Zantek
2013 Transfusion  
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

Qianqian Zhang, Daqing Gong
2022 Computational Intelligence and Neuroscience  
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

Carolina Fortuna, Eli De Poorter, Primož Škraba, Ingrid Moerman
2016 Wireless personal communications  
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

Xiaozhou Li, Zheying Zhang, Kostas Stefanidis
2021 Information  
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

Luís B. Elvas, Carolina F. Marreiros, João M. Dinis, Maria C. Pereira, Ana L. Martins, João C. Ferreira
2020 Applied Sciences  
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]

Reid Swanson, Andrew S. Gordon
2010 Lecture Notes in Computer Science  
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

Aguinaldo Bezerra, Ivanovitch Silva, Luiz Affonso Guedes, Diego Silva, Gustavo Leitão, Kaku Saito
2019 Sensors  
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]

Chiara Ravazzi, Fabrizio Dabbene, Constantino Lagoa, Anton V. Proskurnikov
2020 arXiv   pre-print
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

Nicola Tamascelli, Giordano E. Scarponi, Nicola Paltrinieri, Valerio Cozzani
2021 Chemical Engineering Transactions  
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

Matthias Volk, Daniel Staegemann, Ivayla Trifonova, Sascha Bosse, Klaus Turowski
2020 IEEE Access  
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

Simon Hengchen, Ruben Ros, Jani Marjanen, Mikko Tolonen
2021 Zenodo  
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

Al-Hanouf Al-Ajmi, Nora Al-Twairesh
2021 IEEE Access  
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

Ming-Fung Francis Siu, Wing-Yan Jacqueline Leung, Wai-Ming Daniel Chan
2018 Journal of Civil Engineering and Management  
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

Kangqi Luo, Xusheng Luo, Xianyang Chen, Kenny Q. Zhu
2017 Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence  
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

Bhavani Thuraisingham, Murat Kantarcioglu, Kevin Hamlen, Latifur Khan, Tim Finin, Anupam Joshi, Tim Oates, Elisa Bertino
2016 2016 IEEE 17th International Conference on Information Reuse and Integration (IRI)  
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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