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AID4HAI :
AID4HAI : Automatic Idea Detection for Healthcare-Associated Infections from Twitter, A Framework based on Active Learning and Transfer Learning
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- Kharazian, Zahra (författare)
- Stockholms universitet,Högskolan i Halmstad,Akademin för informationsteknologi,Stockholm University, Stockholm, Sweden,Institutionen för data- och systemvetenskap
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- Rahat, Mahmoud, 1985- (författare)
- Högskolan i Halmstad,Centrum för forskning om tillämpade intelligenta system (CAISR),Center for Applied Intelligent Systems Research (CAISR), Halmstad University, Halmstad, Sweden
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- Gama, Fábio, Ass. Professor, 1980- (författare)
- Högskolan i Halmstad,Akademin för företagande, innovation och hållbarhet,Department of Innovation Management, Halmstad University, Halmstad, Sweden
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- Sheikholharam Mashhadi, Peyman, 1982- (författare)
- Högskolan i Halmstad,Centrum för forskning om tillämpade intelligenta system (CAISR),Center for Applied Intelligent Systems Research (CAISR), Halmstad University, Halmstad, Sweden
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- Nowaczyk, Sławomir, 1978- (författare)
- Högskolan i Halmstad,Centrum för forskning om tillämpade intelligenta system (CAISR),Center for Applied Intelligent Systems Research (CAISR), Halmstad University, Halmstad, Sweden
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- Lindgren, Tony (författare)
- Stockholms universitet,Institutionen för data- och systemvetenskap,Stockholm University, Stockholm, Sweden
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- Magnússon, Sindri, 1987- (författare)
- Stockholms universitet,Institutionen för data- och systemvetenskap,Stockholm University, Stockholm, Sweden
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(creator_code:org_t)
- 2023-04-01
- 2023
- Engelska.
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Ingår i: Advances in Intelligent Data Analysis XXI. - Cham : Springer. - 9783031300462 - 9783031300479 ; , s. 195-207
- Relaterad länk:
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https://hh.diva-port... (primary) (Raw object)
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https://urn.kb.se/re...
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https://doi.org/10.1...
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https://urn.kb.se/re...
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Abstract
Ämnesord
Stäng
- This research is an interdisciplinary work between data scientists, innovation management researchers, and experts from a Swedish hygiene and health company. Based on this collaboration, we have developed a novel package for automatic idea detection to control and prevent healthcare-associated infections (HAI). The principal idea of this study is to use machine learning methods to extract informative ideas from social media to assist healthcare professionals in reducing the rate of HAI. Therefore, the proposed package offers a corpus of data collected from Twitter, associated expert-created labels, and software implementation of an annotation framework based on the Active Learning paradigm. We employed Transfer Learning and built a two-step deep neural network model that incrementally extracts the semantic representation of the collected text data using the BERTweet language model in the first step and classifies these representations as informative or non-informative using a multi-layer perception (MLP) in the second step. The package is AID4HAI (Automatic Idea Detection for controlling and preventing Healthcare-Associated Infections) and is made fully available (software code and the collected data) through a public GitHub repository (https://github.com/XaraKar/AID4HAI). We believe that sharing our ideas and releasing these ready-to-use tools contributes to the development of the field and inspires future research.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Datorsystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Computer Systems (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Hälsovetenskap -- Hälso- och sjukvårdsorganisation, hälsopolitik och hälsoekonomi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Health Sciences -- Health Care Service and Management, Health Policy and Services and Health Economy (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Systemvetenskap, informationssystem och informatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Information Systems (hsv//eng)
Nyckelord
- automatic idea detection
- healthcare-associated infections
- human-in-the-loop
- active learning
- feedback loops
- supervised machine learning
- natural language processing
- Information driven care
- Informationsdriven vård
- data- och systemvetenskap
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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