Výsledky vyhľadávania - "multimodal data integration"

Opportunities and challenges of integrating geographic information science and large language models

Autori: Nico Van de Weghe Lars De Sloover Anthony Cohn a ďalší

Zdroj: JOURNAL OF SPATIAL INFORMATION SCIENCE

Predmety: Earth and Environmental Sciences, multimodal data integration, spatial reasoning, geographic information science (GIScience), large language models (LLMs)

Popis súboru: application/pdf

Prístupová URL adresa: https://biblio.ugent.be/publication/01JXF3A61C5GXJZVQSA5FYQGY5
http://hdl.handle.net/1854/LU-01JXF3A61C5GXJZVQSA5FYQGY5
http://doi.org/10.5311/josis.2025.30.389
https://biblio.ugent.be/publication/01JXF3A61C5GXJZVQSA5FYQGY5/file/01JXF3BKWGP3FK88H8FK5H5Z7Q

Multimodal integration of longitudinal noninvasive diagnostics for survival prediction in immunotherapy using deep learning

Autori: Melda Yeghaian Zuhir Bodalal Daan van den Broek a ďalší

Zdroj: J Am Med Inform Assoc
Jamia. Journal of the American Medical Informatics Association, 32, 8, pp. 1267-1275
Journal of the American Medical Informatics Association, vol. 32, no. 8, pp. 1267-1275

Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Artificial Intelligence, longitudinal study, deep learning, Cognitive artificial intelligence, artificial intelligence, Research and Applications, Quantitative Biology - Quantitative Methods, Machine Learning (cs.LG), Artificial Intelligence (cs.AI), FOS: Biological sciences, multimodal data integration, immunotherapy, Humans, Deep Learning, Immunotherapy, Neoplasms/mortality, Neoplasms/therapy, Prognosis, Neural Networks, Computer, Male, Female, Quantitative Methods (q-bio.QM)

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/abs/2411.18253
https://cris.maastrichtuniversity.nl/en/publications/f4652115-db49-4ffb-bbd0-43ce79af8e4a
https://doi.org/10.1093/jamia/ocaf074
https://hdl.handle.net/2066/312797
https://repository.ubn.ru.nl//bitstream/handle/2066/312797/312797.pdf
http://nbn-resolving.org/urn/resolver.pl?urn=urn:nbn:ch:serval-BIB_C9F310DE15E50
https://serval.unil.ch/notice/serval:BIB_C9F310DE15E5
https://serval.unil.ch/resource/serval:BIB_C9F310DE15E5.P001/REF.pdf

Leveraging Artificial Intelligence for Mental Health: A Comprehensive Review of Techniques and Applications

Autori: Arvind G Devaseelan

Zdroj: International Journal of Management, Technology, and Social Sciences. :130-146

Predmety: Multimodal Data Integration, Virtual Agents, Ethical AI Design, Predictive Analytics, Artificial Intelligence (AI) in Mental Health

FROM PREDICTION TO PREVENTION: THE ROLE OF AI IN TRANSFORMING CORONARY ARTERY DISEASE RISK ASSESSMENT

Autori: null Natalia Kulicka null Kinga Knutelska null Tytus Tyralik a ďalší

Zdroj: International Journal of Innovative Technologies in Social Science; Vol 2 No 3(47) (2025): International Journal of Innovative Technologies in Social Science
International Journal of Innovative Technologies in Social Science; Том 2 № 3(47) (2025): International Journal of Innovative Technologies in Social Science

Predmety: Machine Learning, Artificial Intelligence, Multimodal Data Integration, Explainable AI, Coronary Artery Disease, Risk Prediction

Popis súboru: application/pdf

Prístupová URL adresa: https://rsglobal.pl/index.php/ijitss/article/view/3589

From data-driven cities to data-driven tumors: dynamic digital twins for adaptive oncology

Autori: Irem Karaman Burhan Sebin

Zdroj: Frontiers in Artificial Intelligence, Vol 8 (2025)

Predmety: smart cities, digital twin, precision oncology, Electronic computers. Computer science, multimodal data integration, QA75.5-76.95, cancer care

Prístupová URL adresa: https://doaj.org/article/d0425dd1459b4d55a562d95dcc683d71

Survey of Machine Learning and Deep Learning Approaches for Housing Price Forecasting: Datasets, Features, and Challenges

Autori: Saraswat, Dr Manish

Predmety: Real Estate Valuation, Multimodal Data Integration, Housing Price Forecasting, Machine Learning (ML), Deep Learning (DL), Model Interpretability, Feature Engineering

Machine learning for predictive AAC: Improving speech and gesture-based communication systems

Autori: Omotayo Emmanuel Omoyemi

Zdroj: World Journal of Advanced Research and Reviews. 24:2569-2575

Predmety: Machine Learning, Assistive Technology, Multimodal Data Integration, Predictive Text, User Intent Prediction, Augmentative and Alternative Communication (AAC)

Data- and knowledge-derived functional landscape of human solute carriers

Autori: Ulrich Goldmann Tabea Wiedmer Andrea Garofoli a ďalší

Zdroj: Mol Syst Biol
Molecular Systems Biology, Vol 21, Iss 6, Pp 599-631 (2025)

Predmety: Medicine (General), Multimodal Data Integration, QH301-705.5, 102004 Bioinformatik, 301207 Pharmazeutische Chemie, Knowledgebase, Article, R5-920, SDG 3 - Good Health and Well-being, Human Gene Function, SDG 3 – Gesundheit und Wohlergehen, Solute Carriers, Biology (General), 102004 Bioinformatics, Membrane Transporters, 301207 Pharmaceutical chemistry

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40355757
https://doaj.org/article/a098570c29f54026abfebea0548b55a9

Ai-Assisted Prediction Model For Early Diagnosis Of IADD Progression

Autori: Jian Su Kailiang Zhang

Zdroj: International Dental Journal, Vol 75, Iss , Pp 104163- (2025)

Predmety: AI-assisted diagnosis, Irreducible anterior disc displacement, Multimodal data integration, Dentistry, RK1-715

Popis súboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S002065392503446X; https://doaj.org/toc/0020-6539

Prístupová URL adresa: https://doaj.org/article/2f40bd491248459baf4dee9c0a374c77

An Overview of Data Integration in Neuroscience With Focus on Alzheimer's Disease

Autori: Rosanna Turrisi Margherita Squillario Giulia Abate a ďalší

Zdroj: IEEE Journal of Biomedical and Health Informatics. 28:1824-1835

Predmety: neurodegenerative diseases, Alzheimer's disease, Multimodal data integration, Machine and Deep learning, Multidisciplinary, Neurodegenerative diseases, Alzheimer's Disease, Multimodal data integration, machine and deep learning, multidisciplinary, 3. Good health

Popis súboru: application/pdf

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/37079415
https://hdl.handle.net/20.500.14243/533324
https://doi.org/10.1109/JBHI.2023.3268729
https://hdl.handle.net/11379/583605
https://doi.org/10.1109/JBHI.2023.3268729
https://hdl.handle.net/11567/1120675
https://doi.org/10.1109/JBHI.2023.3268729

Multimodal approaches and AI-driven innovations in dementia diagnosis: a systematic review

Autori: Revati M. Wahul Sarita Ambadekar Deepesh M. Dhanvijay a ďalší

Zdroj: Discover Artificial Intelligence, Vol 5, Iss 1, Pp 1-32 (2025)

Predmety: Dementia diagnosis, Alzheimer’s disease (AD), Frontotemporal dementia (FTD), Machine learning (ML), Deep learning (DL), Multimodal data Integration, Computational linguistics. Natural language processing, P98-98.5, Electronic computers. Computer science, QA75.5-76.95

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2731-0809

Prístupová URL adresa: https://doaj.org/article/49fcf894e2b64f40b0602f0c1de07f2d

Data- and knowledge-derived functional landscape of human solute carriers

Autori: Ulrich Goldmann Tabea Wiedmer Andrea Garofoli a ďalší

Zdroj: Molecular Systems Biology, Vol 21, Iss 6, Pp 599-631 (2025)

Predmety: Human Gene Function, Knowledgebase, Membrane Transporters, Multimodal Data Integration, Solute Carriers, Biology (General), QH301-705.5, Medicine (General), R5-920

Popis súboru: electronic resource

Relation: https://doaj.org/toc/1744-4292

Prístupová URL adresa: https://doaj.org/article/a098570c29f54026abfebea0548b55a9

UniBizNet: A Unified Business Intelligence Network for Strategic Multimodal Data Integration and Predictive Analysis

Autori: Md Amit Hasan Md Shahin Alam Mozumder Md Rokibul Hasan a ďalší

Zdroj: IEEE Open Journal of the Computer Society, Vol 6, Pp 1787-1798 (2025)

Predmety: Unified business intelligence, multimodal data integration, predictive analysis, attention-gated units, sales forecasting, stock price prediction, Electronic computers. Computer science, QA75.5-76.95, Information technology, T58.5-58.64

Popis súboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/11219193/; https://doaj.org/toc/2644-1268

Prístupová URL adresa: https://doaj.org/article/500df1abfe974325a933d45d172f4ab2

Multimodal data integration in early-stage breast cancer

Autori: Arnau Llinas-Bertran Maria Butjosa-Espín Vittoria Barberi a ďalší

Zdroj: Breast, Vol 80, Iss , Pp 103892- (2025)

Predmety: Data integration, Machine learning, Deep learning, Stratification, Multimodal data integration, Multi-omics, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282

Popis súboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S0960977625000219; https://doaj.org/toc/1532-3080

Prístupová URL adresa: https://doaj.org/article/92a595f09e8f4102908c394b3d56f390

iCEMIGE: Integration of CEll-morphometrics, MIcrobiome, and GEne biomarker signatures for risk stratification in breast cancers

Autori: Mao, Xuan-Yu Perez-Losada, Jesus Abad, Mar a ďalší

Zdroj: World Journal of Clinical Oncology. 13(7)

Predmety: 32 Biomedical and Clinical Sciences (for-2020), 3211 Oncology and Carcinogenesis (for-2020), Aging (rcdc), Breast Cancer (rcdc), Women's Health (rcdc), Human Genome (rcdc), Cancer (rcdc), Prevention (rcdc), Precision Medicine (rcdc), Genetic Testing (rcdc), Cancer Genomics (rcdc), Genetics (rcdc), Bioengineering (rcdc), Machine Learning and Artificial Intelligence (rcdc), 4.1 Discovery and preclinical testing of markers and technologies (hrcs-rac), Cancer (hrcs-hc), 3 Good Health and Well Being (sdg), Breast cancer, Gene signature, Microbiome signature, Cellular morphometrics signature, Multimodal data integration, Prognosis, Breast cancer, Cellular morphometrics signature, Gene signature, Microbiome signature, Multimodal data integration, Prognosis, 3211 Oncology and carcinogenesis (for-2020), 4201 Allied health and rehabilitation science (for-2020)

Popis súboru: application/pdf

Prístupová URL adresa: https://escholarship.org/uc/item/9sg0t125
https://escholarship.org/content/qt9sg0t125/qt9sg0t125.pdf

A novel deep learning algorithm for real-time prediction of clinical deterioration in the emergency department for a multimodal clinical decision support system

Autori: Arom Choi Kwanhyung Lee Heejung Hyun a ďalší

Zdroj: Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)

Predmety: Clinical decision support system, Emergency department, Deep learning, Multimodal data Integration, Real-time prediction, Patient deterioration, Medicine, Science

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Prístupová URL adresa: https://doaj.org/article/d031e6799ae1400082945034089ca39f

Classification of lumbar spine disorders using large language models and MRI segmentation

Autori: Rongpeng Dong Xueliang Cheng Mingyang Kang a ďalší

Zdroj: BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-18 (2024)

Predmety: Lumbar spine disorders, MRI data, BERT-based large language model, Multimodal data integration, Precision classification, Computer applications to medicine. Medical informatics, R858-859.7

Popis súboru: electronic resource

Relation: https://doaj.org/toc/1472-6947

Prístupová URL adresa: https://doaj.org/article/f7a702a82cae4682b70e6df5e76d5073

STASCAN deciphers fine-resolution cell distribution maps in spatial transcriptomics by deep learning

Autori: Ying Wu Jia-Yi Zhou Bofei Yao a ďalší

Zdroj: Genome Biology, Vol 25, Iss 1, Pp 1-28 (2024)

Predmety: Spatial transcriptomics, Cell annotation, Deep learning, Imputation, Multimodal data integration, Biology (General), QH301-705.5, Genetics, QH426-470

Popis súboru: electronic resource

Relation: https://doaj.org/toc/1474-760X

Prístupová URL adresa: https://doaj.org/article/78e84b928fec4b2ab0e9d276d1c284df

Integration of EHR and ECG Data for Predicting Paroxysmal Atrial Fibrillation in Stroke Patients

Autori: Alireza Vafaei Sadr Manvita Mareboina Diana Orabueze a ďalší

Zdroj: Bioengineering, Vol 12, Iss 9, p 961 (2025)

Predmety: paroxysmal atrial fibrillation, electronic health records, electrocardiogram, multimodal data integration, deep learning, feature importance analysis, Technology, Biology (General), QH301-705.5

Popis súboru: electronic resource

Relation: https://www.mdpi.com/2306-5354/12/9/961; https://doaj.org/toc/2306-5354

Prístupová URL adresa: https://doaj.org/article/aac274b722534e1d859eed969afe951a

SERS Cheminformatics: Opportunities for Data-Driven Discovery and Applications

Autori: Emily Xi Tan Lam Bang Thanh Nguyen Yubin Jin a ďalší

Predmety: Inorganic Chemistry, Science Policy, Space Science, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, four pillars form, enhanced raman scattering, nondestructive molecular fingerprinting, centralized sers databases, sers chemical space, driven chemical research, time sers analysis, multimodal data integration, complex sers data, chemical analysis, molecular modeling, complex mixtures, uniting sers, spectral analysis, driven system, accelerates data, sers cheminformatics, transformative applications, symbiotic relationship, spectral preprocessing, spectral overlap, signal variability

Dostupnosť: https://doi.org/10.1021/acscentsci.5c00785.s001
https://figshare.com/articles/journal_contribution/SERS_Cheminformatics_Opportunities_for_Data-Driven_Discovery_and_Applications/29827689