Výsledky vyhledávání - "Data Mining methods"

A Knowledge Graph for the Exploration of Human RSV Infection

Autoři: Bisma Arshad Chu Ming Ko Mary McCabe a další

Přispěvatelé: Bisma Arshad Chu Ming Ko Mary McCabe a další

Zdroj: Studies in Health Technology and Informatics ISBN: 9781643685960
Arshad, B, Ko, C M, McCabe, M, Power, U F & Lopez Campos, G 2025, A knowledge graph for the exploration of human RSV infection. in E Andrikopoulou, P Gallos, T N Arvanitis, R Austin & A Benis (eds), Intelligent health systems – from technology to data and knowledge. vol. 327, Studies in Health Technology and Informatics, IOS Press, pp. 1383-1387. https://doi.org/10.3233/SHTI250629

Témata: Knowledge Bases, Computer Graphics, Humans, Data Mining, name=SDG 3 - Good Health and Well-being, Respiratory Syncytial Virus Infections, Data Mining/methods, Respiratory Syncytial Virus Infections/diagnosis

Popis souboru: application/pdf

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40380732
https://pure.qub.ac.uk/en/publications/4360e98f-4070-4b70-913f-b356e646c2d0

Leveraging Machine Learning for Predictive Maintenance in Pharmaceutical Production

Autoři: Koppichetti, Ravi Kiran

Zdroj: International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences. 13

Témata: Big Data, Artificial intelligence, Artificial Intelligence/statistics & numerical data, Artificial Intelligence/economics, Artificial Intelligence/standards, Data Mining/methods, Data Mining/trends, Machine Learning, Data Mining/standards, Big data, Internet of things (IoT), Artificial Intelligence, Machine learning, Machine Learning/classification, Data Mining, Artificial Intelligence/trends, Big Data/economics, Data Mining/statistics & numerical data, Data mining, Pharmaceutical manufacturing systems, Predictive maintenance, Data Mining/classification, Big Data/supply & distribution, Industry 4.0, Artificial Intelligence/classification, Supervised Machine Learning

ActSeek: Fast and accurate search algorithm of active sites in Alphafold database

Autoři: Sandra Castillo O. H. Samuli Ollila

Zdroj: Bioinformatics.

Témata: Databases, Protein, Catalytic Domain, Data Mining/methods, Computational Biology/methods, Algorithms, Software, Proteins/chemistry

Přístupová URL adresa: https://cris.vtt.fi/en/publications/51d8f5ac-3164-4c98-a195-bb4a44d01b38
https://doi.org/10.1093/bioinformatics/btaf424

Performance of Natural Language Processing for Information Extraction From Electronic Health Records Within Cancer: Systematic Review

Autoři: Simon Dahl Martin Bøgsted Tomer Sagi a další

Zdroj: Dahl, S C, Bøgsted, M, Sagi, T & Vesteghem, C 2025, 'Performance of Natural Language Processing for Information Extraction From Electronic Health Records Within Cancer : Systematic Review', JMIR Medical Informatics, vol. 13, pp. e68707. https://doi.org/10.2196/68707

Témata: Bidirectional transformer, Clinical Textual Data, Information Storage and Retrieval/methods, Performance, Neural Network, Review, Data Mining/methods, Machine Learning, Rule-based, Neoplasms, Humans, Electronic Health Records, Neural Networks, Computer, name=SDG 3 - Good Health and Well-being, Information Extraction, Natural Language Processing

Applying machine learning to enhance core outcome set development:automating the data extraction and classification of outcomes

Autoři: Yalcinkaya, Ali Kjelmann, Kristian Gade Gholinezhad, Shima a další

Zdroj: Yalcinkaya, A, Kjelmann, K G, Gholinezhad, S, Rahbek, O, Kold, S & Husum, H-C 2025, 'Applying machine learning to enhance core outcome set development : automating the data extraction and classification of outcomes', Journal of Orthopaedic Surgery and Research, vol. 20, no. 1, 977. https://doi.org/10.1186/s13018-025-06386-8

Témata: Machine Learning, Humans, Outcome Assessment, Health Care/methods, Data Mining/methods

Popis souboru: application/pdf

Relation: info:eu-repo/semantics/altIdentifier/pmid/41204228; info:eu-repo/semantics/altIdentifier/pissn/1749-799X

Dostupnost: https://vbn.aau.dk/da/publications/6f098237-fbcb-416d-87bb-680b69b9fe43
https://doi.org/10.1186/s13018-025-06386-8
https://vbn.aau.dk/ws/files/803730008/Yalcinkaya_et_al._2025_._Applying_machine_learning_to_enhance_core_outcome_set_development_Automating_the_data_extraction_and_classification_of_outcomes.pdf

Imputación para tasas de vacunación en un estudio ecológico para cuatro paı́ses del cono sur de Sudamérica ; Imputation for vaccination rates in an ecological study for four countries in the southern cone of South America

Autoři: Álvarez-Vaz, Ramón orcid:0000-0002-2505- Rodríguez-Collazo, Silvia a další

Přispěvatelé: Álvarez-Vaz, Ramón orcid:0000-0002-2505- Rodríguez-Collazo, Silvia a další

Témata: Data Harmonization, Imputation, Data Mining/methods, Mining/statistics & numerical data, Missing Data

Relation: https://zenodo.org/records/15619453; oai:zenodo.org:15619453; https://doi.org/10.5281/zenodo.15619453

Dostupnost: https://doi.org/10.5281/zenodo.15619453
https://zenodo.org/records/15619453

ActSeek: Fast and accurate search algorithm of active sites in Alphafold database

Autoři: Castillo, Sandra Ollila, O H Samuli

Zdroj: Castillo, S & Ollila, O H S 2025, 'ActSeek: Fast and accurate search algorithm of active sites in Alphafold database', Bioinformatics, vol. 41, no. 8, btaf424. https://doi.org/10.1093/bioinformatics/btaf424

Témata: Algorithms, Databases, Protein, Catalytic Domain, Software, Proteins/chemistry, Data Mining/methods, Computational Biology/methods

Popis souboru: application/pdf

Relation: info:eu-repo/semantics/altIdentifier/pmid/40713866; info:eu-repo/semantics/altIdentifier/pissn/1367-4803; info:eu-repo/semantics/altIdentifier/eissn/1367-4811

Dostupnost: https://cris.vtt.fi/en/publications/51d8f5ac-3164-4c98-a195-bb4a44d01b38
https://doi.org/10.1093/bioinformatics/btaf424
https://cris.vtt.fi/ws/files/119751799/btaf424.pdf
https://www.scopus.com/pages/publications/105013093709

Enabling near real time use of wildlife necropsy data: Text-mining approaches to derive interactive dashboard displays

Autoři: Saverimuttu, Stefan McInnes, Kate Warren, Kristin a další

Témata: Animals, Wild, Autopsy - veterinary, Data Mining - methods, User-Computer Interface

Popis souboru: pdf

Relation: ispartof: PloS one issue 9 vol 20; 991005813642707891; https://researchportal.murdoch.edu.au/view/delivery/61MUN_INST/12183581630007891/13183784160007891; alma:61MUN_INST/bibs/991005813642707891

Dostupnost: https://doi.org/10.1371/journal.pone.0331210
https://researchportal.murdoch.edu.au/esploro/outputs/journalArticle/Enabling-near-real-time-use-of/991005813642707891
https://researchportal.murdoch.edu.au/view/delivery/61MUN_INST/12183581630007891/13183784160007891

Unsupervised Extraction of Body-Text from Clinical PDF Documents

Autoři: Bensalah Talet, Adel Fouad Zaghir, Jamil Gaudet-Blavignac, Christophe a další

Zdroj: Studies in Health Technology and Informatics ISBN: 9781643685335

Témata: 616.0757, Information extraction, Data Mining / methods, Clinical data, Data Mining, Humans, Electronic Health Records, DBSCAN, Pdf, Algorithms, Unsupervised, Natural Language Processing, Unsupervised Machine Learning

Popis souboru: application/pdf

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39176711
https://archive-ouverte.unige.ch/unige:180156
https://doi.org/10.3233/shti240382

Development and Portability of a Text Mining Algorithm for Capturing Disease Progression in Electronic Health Records of Patients With Stage IV Non–Small Cell Lung Cancer

Autoři: M.V. Verschueren H. Abedian Kalkhoran M. Deenen a další

Zdroj: JCO Clin Cancer Inform

Témata: Male, Lung Neoplasms, Carcinoma, ORIGINAL REPORTS, Data Mining/methods, Middle Aged, SDG 3 - Good Health and Well-being, Carcinoma, Non-Small-Cell Lung, Disease Progression, Lung Neoplasms/pathology, Humans, Electronic Health Records, Data Mining, Female, Non-Small-Cell Lung/pathology, Algorithms, Aged, Neoplasm Staging

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39365963
https://pure.eur.nl/en/publications/18010929-e3f2-4f14-bccf-4093bb693152
https://doi.org/10.1200/cci.24.00053

Intrusion detection using data mining – an overview of methods and their success

Autoři: Ilijanic, Martina Jaksic, Danijela Poscic, Patrizia a další

Přispěvatelé: Ilijanic, Martina Jaksic, Danijela Poscic, Patrizia a další

Zdroj: 2022 45th Jubilee International Convention on Information, Communication and Electronic Technology (MIPRO). :1472-1477

Témata: intrusion detection systems, data mining, datasets, data mining methods, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://www.bib.irb.hr/1191380

Combining text mining with clinical decision support in clinical practice: a scoping review: a scoping review

Autoři: Britt W M van de Burgt Arthur T M Wasylewicz Bjorn Dullemond a další

Přispěvatelé: Britt W M van de Burgt Arthur T M Wasylewicz Bjorn Dullemond a další

Zdroj: Journal of the American Medical Informatics Association. 30:588-603

Témata: Research Support, Non-U.S. Gov't, Health Informatics, Review, electronic health record, text mining, Data Mining/methods, free-Text, Decision Support Systems, Clinical, CDS, NLP, 3. Good health, 03 medical and health sciences, 0302 clinical medicine, Taverne, Journal Article, Humans, Electronic Health Records, Data Mining, free-text, Software, Natural Language Processing

Popis souboru: application/pdf

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/36512578
https://research-portal.uu.nl/en/publications/eec3396a-3644-47e6-86bd-af15c575f57f
https://doi.org/10.1093/jamia/ocac240
https://dspace.library.uu.nl/handle/1874/448661
https://dspace.library.uu.nl/handle/1874/427346

ASSESSING THE REGIONAL LABOR MARKET BY USING DATA MINING METHODS: WAYS OF EFFECTIVE FUNCTIONING

Autoři: Larysa D. Harmider Svitlana O. Fedulova Yuliia M. Bartashevska a další

Zdroj: Akademičnij Oglâd, Vol 2, Iss 57, Pp 36-49 (2022)

Témata: data mining methods, region, Economics as a science, 11. Sustainability, 8. Economic growth, 1. No poverty, labor market, HB71-74, indicators, 12. Responsible consumption

Přístupová URL adresa: https://doaj.org/article/1f6b8103b83e41c897fd06d875e6a36e

Applying data mining techniques to classify patients with suspected hepatitis C virus infection

Autoři: Reza Safdari Amir Deghatipour Marsa Gholamzadeh a další

Zdroj: Intelligent Medicine, Vol 2, Iss 4, Pp 193-198 (2022)

Témata: 03 medical and health sciences, 0302 clinical medicine, Hepatitis C virus, Medical technology, R855-855.5, Data mining methods, Classification, Hepatitis, 3. Good health

Přístupová URL adresa: https://doaj.org/article/0fab05b218364cd99b440d31856179eb

DUVEL: an active-learning annotated biomedical corpus for the recognition of oligogenic combinations: an active-learning annotated biomedical corpus for the recognition of oligogenic combinations

Autoři: Charlotte Nachtegael Jacopo De Stefani Anthony Cnudde a další

Přispěvatelé: Charlotte Nachtegael Jacopo De Stefani Anthony Cnudde a další

Zdroj: Database (Oxford)

Témata: Data Curation/methods, Informatique générale, biomedical relation extraction dataset, Intelligence artificielle, Data Mining/methods, 3. Good health, genetic diseases, active learning, Databases, Genetic, Humans, Data Mining, Original Article, Supervised Machine Learning, Data Curation

Popis souboru: 1 full-text file(s): application/pdf

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38805753
https://biblio.vub.ac.be/vubir/(a14918e6-936a-4be8-a600-21b5b9549ca4).html
https://doi.org/10.1093/database/baae039
https://hdl.handle.net/20.500.14017/a14918e6-936a-4be8-a600-21b5b9549ca4

Combining sentiment analysis and text mining with content analysis of farm vet interviews on mental wellbeing in livestock practice.

Autoři: Duncan, Andrew J Henry, MK Lamont (Stephen), K

Zdroj: Duncan, A J, Henry, MK & Lamont (Stephen), K 2024, 'Combining sentiment analysis and text mining with content analysis of farm vet interviews on mental wellbeing in livestock practice.', PLoS ONE, vol. 19, no. 5, e0304090. https://doi.org/10.1371/journal.pone.0304090

Témata: Adult, Animals, Data Mining/methods, Farmers/psychology, Farms, Female, Humans, Interviews as Topic, Job Satisfaction, Livestock, Male, Mental Health, Middle Aged, Veterinarians/psychology

Popis souboru: application/pdf

Relation: info:eu-repo/semantics/altIdentifier/pmid/38776300; info:eu-repo/semantics/altIdentifier/pissn/1932-6203; info:eu-repo/semantics/altIdentifier/eissn/1932-6203

Dostupnost: https://pure.sruc.ac.uk/en/publications/385ad302-784b-4b71-be2c-8d5e774b38c8
https://doi.org/10.1371/journal.pone.0304090
https://pure.sruc.ac.uk/ws/files/90697959/journal.pone.0304090.pdf
https://sruc.figshare.com/articles/software/Detail_on_methodology_for_peer_reviewed_academic_paper_Combining_sentiment_analysis_and_text_mining_with_thematic_analysis_of_farm_vet_interviews_on_mental_wellbeing_in_livestock_practice_/24057045
https://www.scopus.com/pages/publications/85193790824

Mining literature and pathway data to explore the relations of ketamine with neurotransmitters and gut microbiota using a knowledge-graph

Autoři: Liu, Ting Feenstra, K. Anton Huang, Zhisheng a další

Zdroj: Liu, T, Feenstra, K A, Huang, Z & Heringa, J 2024, 'Mining literature and pathway data to explore the relations of ketamine with neurotransmitters and gut microbiota using a knowledge-graph', Bioinformatics (Oxford, England), vol. 40, no. 1, btad771, pp. 1-9. https://doi.org/10.1093/bioinformatics/btad771

Témata: Humans, Gastrointestinal Microbiome, Ketamine/pharmacology, Databases, Factual, Antidepressive Agents/pharmacology, Neurotransmitter Agents, Data Mining/methods

Dostupnost: https://research.vu.nl/en/publications/5aef0aa6-4f86-4db8-9fdb-e56b4a6c2819
https://doi.org/10.1093/bioinformatics/btad771
https://hdl.handle.net/1871.1/5aef0aa6-4f86-4db8-9fdb-e56b4a6c2819
http://www.scopus.com/inward/record.url?scp=85181776864&partnerID=8YFLogxK
http://www.scopus.com/inward/citedby.url?scp=85181776864&partnerID=8YFLogxK

Sixth HUMANIZE Workshop on Transparency and Explainability in Adaptive Systems Through User Modeling Grounded in Psychological Theory: Summary

Autoři: Ferwerda, Bruce Tkalčič, Marko Germanakos, Panagiotis

Zdroj: International Conference on Intelligent User Interfaces, Proceedings IUI. :10-12

Témata: Human-centered AI, Personalization, Tailoring, User Interfaces, User Modeling, Adaptive systems, Data mining, Transparency, Data mining methods, Finland, Intelligent User Interfaces, Personalizations, Psychological theory, Smart System, University of helsinki, User Modelling

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-56343
https://doi.org/10.1145/3490100.3511167

Veri madenciliği yöntemleri ile bir melez sınıflandırma yaklaşımı ve uygulaması

Autoři: ULU METİN, Gözde TÜRKŞEN, Özlem

Zdroj: Volume: 16, Issue: 2 100-115
İstatistikçiler Dergisi:İstatistik ve Aktüerya
Journal of Statisticians: Statistics and Actuarial Sciences

Témata: Statistical Analysis, İstatistiksel Analiz, Applied Statistics, AHP, CODAS, Çok ölçütlü karar verme, Melez sınıflandırma, Performans ölçütleri, Veri madenciliği yöntemleri, Veri ön işleme, Uygulamalı İstatistik, Esnek Hesaplama, Statistical Data Science, İstatistiksel Veri Bilimi, Multi criteria decision making, Hybrid classification, Performance metrics, Data mining methods, Data preprocessing, Soft Computing

Popis souboru: application/pdf

Přístupová URL adresa: https://dergipark.org.tr/tr/pub/jssa/issue/81881/1411455

Editorial: Data mining methods for analyzing cognitive and affective disorders based on multimodal omics, volume II

Autoři: Tao Wang Elaine Stella Chapman Zhongyu Wei a další

Zdroj: Front Psychiatry
Frontiers in Psychiatry, Vol 14 (2023)

Témata: data mining methods, Psychiatry, multi-modal data, RC435-571, deep learning, cognitive and affective disorders, omics

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/38076686
https://doaj.org/article/d6ff7f417d8b4de59be1723ec1d32411