Výsledky vyhľadávania - "((\"computing algorithms and informatics\") OR (\"computing algorithms and information\"))"

Replacing non-biomedical concepts improves embedding of biomedical concepts

Autori: Niyonkuru, Enock Gomez, Mauricio Soto Casarighi, Elena a ďalší

Zdroj: PLOS ONE. 20(5)

Predmety: Information and Computing Sciences, Biological Sciences, Bioinformatics and Computational Biology, Algorithms, Machine Learning, Semantics, Medical Informatics Computing, General Science & Technology

Popis súboru: application/pdf

Prístupová URL adresa: https://escholarship.org/uc/item/43k9s6k4
https://escholarship.org/content/qt43k9s6k4/qt43k9s6k4.pdf

Evaluation of an automated phenotyping algorithm for rheumatoid arthritis

Autori: Zheng, Henry W Ranganath, Veena K Perry, Lucas C a ďalší

Zdroj: Journal of Biomedical Informatics. 135

Predmety: 46 Information and Computing Sciences (for-2020), 4601 Applied Computing (for-2020), Rheumatoid Arthritis (rcdc), Arthritis (rcdc), Clinical Research (rcdc), Autoimmune Disease (rcdc), 7.3 Management and decision making (hrcs-rac), 7.1 Individual care needs (hrcs-rac), Inflammatory and immune system (hrcs-hc), Humans (mesh), Electronic Health Records (mesh), Algorithms (mesh), Knowledge Bases (mesh), Phenotype (mesh), Arthritis, Rheumatoid (mesh), Phenotyping algorithm, Computational phenotyping, Rheumatoid arthritis, PheKB, Humans (mesh), Arthritis, Rheumatoid (mesh), Phenotype (mesh), Algorithms (mesh), Knowledge Bases (mesh), Electronic Health Records (mesh), Computational phenotyping, PheKB, Phenotyping algorithm, Rheumatoid arthritis, Humans (mesh), Electronic Health Records (mesh), Algorithms (mesh), Knowledge Bases (mesh), Phenotype (mesh), Arthritis, Rheumatoid (mesh), 06 Biological Sciences (for), 08 Information and Computing Sciences (for), 11 Medical and Health Sciences (for), Biomedical Engineering (science-metrix), Medical Informatics (science-metrix), 4203 Health services and systems (for-2020), 4601 Applied computing (for-2020)

Popis súboru: application/pdf

Prístupová URL adresa: https://escholarship.org/uc/item/9pd5z853
https://escholarship.org/content/qt9pd5z853/qt9pd5z853.pdf

Algorithms in information security : spambots detection, string sanitization, and computing antiperiods

Autori: Alamro, Hayam Iliopoulos, Costas Loukidis, Grigorios

Prispievatelia: Alamro, Hayam Iliopoulos, Costas Loukidis, Grigorios

Prístupová URL adresa: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.842492

Geographic Information System for Mapping Accommodation Locations in Lhokseumawe City Using the AHP Method and Dijkstra's Algorithm

Autori: Aldi Wahdana Nurdin Sujacka Retno

Zdroj: Journal of Applied Informatics and Computing, Vol 9, Iss 3, Pp 1050-1057 (2025)

Predmety: analytical hierarchy process (ahp), Electronic computers. Computer science, geographic information system (gis), accommodation recommendation, QA75.5-76.95, dijkstra algorithm

Prístupová URL adresa: https://doaj.org/article/9aaab677157e462ba62f529c1e803f02

Adaptive learning algorithms to optimize mobile applications for behavioral health: guidelines for design decisions.

Autori: Figueroa, Caroline A Aguilera, Adrian Chakraborty, Bibhas a ďalší

Zdroj: Journal of the American Medical Informatics Association. 28(6)

Predmety: Health Services, Clinical Research, Behavioral and Social Science, Basic Behavioral and Social Science, Generic health relevance, Good Health and Well Being, Algorithms, Humans, Machine Learning, Mobile Applications, Reproducibility of Results, Telemedicine, telemedicine, machine learning, algorithms, implementation science, behavioral medicine, Information and Computing Sciences, Engineering, Medical and Health Sciences, Medical Informatics

Prístupová URL adresa: https://escholarship.org/uc/item/2d96h5q3

Machine learning classification of diagnostic accuracy in pathologists interpreting breast biopsies

Autori: Brunyé, Tad T Booth, Kelsey Hendel, Dalit a ďalší

Zdroj: Journal of the American Medical Informatics Association. 31(3)

Predmety: 46 Information and Computing Sciences (for-2020), 4603 Computer Vision and Multimedia Computation (for-2020), Cancer (rcdc), Patient Safety (rcdc), Women's Health (rcdc), Machine Learning and Artificial Intelligence (rcdc), Networking and Information Technology R&D (NITRD) (rcdc), Breast Cancer (rcdc), Behavioral and Social Science (rcdc), Basic Behavioral and Social Science (rcdc), Clinical Research (rcdc), 4.2 Evaluation of markers and technologies (hrcs-rac), 4.1 Discovery and preclinical testing of markers and technologies (hrcs-rac), Humans (mesh), Pathologists (mesh), Breast (mesh), Algorithms (mesh), Biopsy (mesh), Machine Learning (mesh), breast pathology, medical education, medical residency training, machine learning, diagnostic decision-making, medical image interpretation, diagnostic accuracy, Breast (mesh), Humans (mesh), Biopsy (mesh), Algorithms (mesh), Machine Learning (mesh), Pathologists (mesh), breast pathology, diagnostic accuracy, diagnostic decision-making, machine learning, medical education, medical image interpretation, medical residency training, Humans (mesh), Pathologists (mesh), Breast (mesh), Algorithms (mesh), Biopsy (mesh), Machine Learning (mesh), 08 Information and Computing Sciences (for), 09 Engineering (for), 11 Medical and Health Sciences (for), Medical Informatics (science-metrix), 32 Biomedical and clinical sciences (for-2020), 42 Health sciences (for-2020), 46 Information and computing sciences (for-2020)

Popis súboru: application/pdf

Prístupová URL adresa: https://escholarship.org/uc/item/1d62s5j9
https://escholarship.org/content/qt1d62s5j9/qt1d62s5j9.pdf

Development of an automated phenotyping algorithm for hepatorenal syndrome.

Autori: Koola, Jejo D Davis, Sharon E Al-Nimri, Omar a ďalší

Predmety: Humans, Hepatorenal Syndrome, Liver Cirrhosis, Diagnosis, Computer-Assisted, Odds Ratio, Retrospective Studies, ROC Curve, Phenotype, Algorithms, Natural Language Processing, Aged, Middle Aged, Female, Male, Electronic Health Records, Acute Kidney Injury, Support Vector Machine, Acute kidney injury, Cirrhosis, Dimension reduction, Hepatorenal syndrome, Natural language processing, Phenotyping, Clinical Research, Digestive Diseases, Good Health and Well Being, Biological Sciences, Information and Computing Sciences, Medical and Health Sciences, Biomedical Engineering, Medical Informatics

Popis súboru: application/pdf

Prístupová URL adresa: https://escholarship.org/uc/item/9jp8x16p
https://escholarship.org/content/qt9jp8x16p/qt9jp8x16p.pdf

Massive cosmological data generation and distribution

Autori: Tallada Crespi, Pau

Thesis Advisors: Tonello , Nadia, Carretero Palacios, Jorge, César Galobardes, Eduardo

Zdroj: TDX (Tesis Doctorals en Xarxa)

Predmety: Gestió de dades, Data management, Gestión de datos, Distribució de dades, Data distribution, Distribución de datos, Optimització d'algorismes, Algorithm optimization, Optimización de algoritmos, Tecnologies

Popis súboru: application/pdf

Prístupová URL adresa: http://hdl.handle.net/10803/691707

Optimization of Inventory Management with QR Code Integration and Sequential Search Algorithm: A Case Study in a Regional Revenue Office

Autori: Moh Fajar Ryfial Azhar Yusuf Anshori a ďalší

Zdroj: Journal of Applied Informatics and Computing, Vol 9, Iss 2, Pp 412-420 (2025)

Predmety: information system, Electronic computers. Computer science, QA75.5-76.95, inventory items, sequential search algorithm, qr code

Prístupová URL adresa: https://doaj.org/article/d1525030023f4c9c883b164640a77759

Proceedings of the 2023 International Conference on Data Science, Advanced Algorithm and Intelligent Computing (DAI 2023)

Autori: Badrul Hisham Ahmad

Typ zdroja: eBook.

Predmet: Computational intelligence--Congresses, Soft computing--Congresses, Electronic data processing--Congresses, Data mining--Statistical methods--Congresses, Computer algorithms--Congresses

Kategórie: COMPUTERS / General, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Database Administration & Management, COMPUTERS / Security / General

Embedding electronic health records onto a knowledge network recognizes prodromal features of multiple sclerosis and predicts diagnosis

Autori: Nelson, Charlotte A Bove, Riley Butte, Atul J a ďalší

Zdroj: Journal of the American Medical Informatics Association. 29(3)

Predmety: Brain Disorders, Clinical Research, Neurodegenerative, Patient Safety, Neurosciences, Multiple Sclerosis, Networking and Information Technology R&D (NITRD), 8.4 Research design and methodologies (health services), Health and social care services research, Generic health relevance, Neurological, Good Health and Well Being, Algorithms, Electronic Health Records, Humans, Machine Learning, Precision Medicine, knowledge graph, electronic health records, multiple sclerosis, preventative medicine, Information and Computing Sciences, Engineering, Medical and Health Sciences, Medical Informatics

Popis súboru: application/pdf

Prístupová URL adresa: https://escholarship.org/uc/item/47m9r8qv
https://escholarship.org/content/qt47m9r8qv/qt47m9r8qv.pdf

Privacy-protecting, reliable response data discovery using COVID-19 patient observations

Autori: Kim, Jihoon Neumann, Larissa Paul, Paulina a ďalší

Zdroj: Journal of the American Medical Informatics Association. 28(8)

Predmety: 46 Information and Computing Sciences (for-2020), 4203 Health Services and Systems (for-2020), 42 Health Sciences (for-2020), Infectious Diseases (rcdc), Coronaviruses (rcdc), Emerging Infectious Diseases (rcdc), Generic health relevance (hrcs-hc), 3 Good Health and Well Being (sdg), Algorithms (mesh), COVID-19 (mesh), Common Data Elements (mesh), Computer Communication Networks (mesh), Confidentiality (mesh), Electronic Health Records (mesh), Female (mesh), Humans (mesh), Information Storage and Retrieval (mesh), Logistic Models (mesh), Male (mesh), Natural Language Processing (mesh), Registries (mesh), COVID-19, observational study, common data elements, electronic health record, regression analysis, COVID-19, observational study, common data elements, electronic health record, regression analysis, R2D2 Consortium, Humans (mesh), Registries (mesh), Logistic Models (mesh), Confidentiality (mesh), Algorithms (mesh), Natural Language Processing (mesh), Computer Communication Networks (mesh), Information Storage and Retrieval (mesh), Female (mesh), Male (mesh), Electronic Health Records (mesh), Common Data Elements (mesh), COVID-19 (mesh), COVID-19, common data elements, electronic health record, observational study, regression analysis, Algorithms (mesh), COVID-19 (mesh), Common Data Elements (mesh), Computer Communication Networks (mesh), Confidentiality (mesh), Electronic Health Records (mesh), Female (mesh), Humans (mesh), Information Storage and Retrieval (mesh), Logistic Models (mesh), Male (mesh), Natural Language Processing (mesh), Registries (mesh), 08 Information and Computing Sciences (for), 09 Engineering (for), 11 Medical and Health Sciences (for), Medical Informatics (science-metrix), 32 Biomedical and clinical sciences (for-2020), 42 Health sciences (for-2020), 46 Information and computing sciences (for-2020)

Popis súboru: application/pdf

Prístupová URL adresa: https://escholarship.org/uc/item/09h7r3rx
https://escholarship.org/content/qt09h7r3rx/qt09h7r3rx.pdf

A Novel Method for Identifying a Parsimonious and Accurate Predictive Model for Multiple Clinical Outcomes

Autori: Diaz-Ramirez, L Grisell Lee, Sei J Smith, Alexander K a ďalší

Predmety: Information and Computing Sciences, Applied Computing, Computer Vision and Multimedia Computation, Aged, Algorithms, Bayes Theorem, Humans, Prognosis, backward elimination, Bayesian Information Criterion, prognostic models, survival analysis, variable selection, Artificial Intelligence and Image Processing, Biomedical Engineering, Electrical and Electronic Engineering, Medical Informatics, Biomedical engineering, Applied computing, Computer vision and multimedia computation

Popis súboru: application/pdf

Prístupová URL adresa: https://escholarship.org/uc/item/8v15009m
https://escholarship.org/content/qt8v15009m/qt8v15009m.pdf

Implementation of the Hybrid K-Nearest Neighbour Algorithm for Dangdut Music Sub-Genre Classification

Autori: Tria Hikmah Fratiwi I Gede Harsemadi Putu Tjintia Kencana Dewi a ďalší

Zdroj: Journal of Applied Informatics and Computing, Vol 9, Iss 4, Pp 1537-1543 (2025)

Predmety: dangdut, genetic algorithm, classification, k-nearest neighbor, music information retrieval, Electronic computers. Computer science, QA75.5-76.95

Popis súboru: electronic resource

Relation: https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/9702; https://doaj.org/toc/2548-6861

Prístupová URL adresa: https://doaj.org/article/22921df2a37e49ed8a18f5442f3910f5

HCET: Hierarchical Clinical Embedding With Topic Modeling on Electronic Health Records for Predicting Future Depression

Autori: Meng, Yiwen Speier, William Ong, Michael a ďalší

Zdroj: IEEE Journal of Biomedical and Health Informatics. 25(4)

Predmety: Health Services, Mental Health, Networking and Information Technology R&D (NITRD), Clinical Research, Depression, Patient Safety, Bioengineering, Good Health and Well Being, Algorithms, Area Under Curve, Electronic Health Records, Humans, Machine Learning, Data models, Medical diagnostic imaging, Predictive models, Feature extraction, Diseases, Semantics, Clinical decision support, deep learning, electronic health record, depression, temporal representation and reasoning, Information and Computing Sciences, Engineering, Medical and Health Sciences, Medical Informatics

Popis súboru: application/pdf

Prístupová URL adresa: https://escholarship.org/uc/item/93479724
https://escholarship.org/content/qt93479724/qt93479724.pdf

Bidirectional Representation Learning From Transformers Using Multimodal Electronic Health Record Data to Predict Depression

Autori: Meng, Yiwen Speier, William Ong, Michael K a ďalší

Zdroj: IEEE Journal of Biomedical and Health Informatics. 25(8)

Predmety: Depression, Networking and Information Technology R&D (NITRD), Mental Health, Mental health, Good Health and Well Being, Algorithms, Electronic Health Records, Humans, Information Storage and Retrieval, Machine Learning, Medical diagnostic imaging, Data models, Predictive models, Diseases, Biological system modeling, Vocabulary, Clinical decision support, natural language processing, electronic health record, depression, temporal representation and reasoning, Information and Computing Sciences, Engineering, Medical and Health Sciences, Medical Informatics

Popis súboru: application/pdf

Prístupová URL adresa: https://escholarship.org/uc/item/8v03k9cv
https://escholarship.org/content/qt8v03k9cv/qt8v03k9cv.pdf

Critical Thinking Assessment in K-12 Computing Education: A Systematic Mapping

Autori: Deise Monquelate Arndt Ramon Mayor Martins Jean Carlo Rossa Hauck

Zdroj: Informatics in Education. 2025 24(1):1-44.

Peer Reviewed: Y

Počet strán: 44

Descriptors: Critical Thinking, Elementary Secondary Education, Computer Science Education, 21st Century Skills, Barriers, Concept Teaching, Algorithms, Programming, Evaluation Methods, Teacher Role, Journal Articles

Generalizability of SuperAlarm via Cross-Institutional Performance Evaluation

Autori: Xiao, Ran Do, Duc Ding, Cheng a ďalší

Predmety: Information and Computing Sciences, Bioengineering, Networking and Information Technology R&D (NITRD), Patient Safety, Generic health relevance, Good Health and Well Being, Biomedical monitoring, Training, Monitoring, Predictive models, Medical diagnostic imaging, Medical services, Prediction algorithms, Patient monitoring, predictive models, biomedical informatics, Engineering, Technology, Information and computing sciences

Popis súboru: application/pdf

Prístupová URL adresa: https://escholarship.org/uc/item/0m40d4s4
https://escholarship.org/content/qt0m40d4s4/qt0m40d4s4.pdf

Advanced Informatics for Computing Research

Autori: Ashish Kumar Luhach Dharm Singh Jat Kamarul Bin Ghazali Hawari a ďalší

Typ zdroja: eBook.

Predmet: Artificial intelligence, Computer vision, Data protection, Application software, Algorithms, Computers—Law and legislation, Information technology—Law and legislation

Kategórie: COMPUTERS / Artificial Intelligence / General, COMPUTERS / General, COMPUTERS / Business & Productivity Software / General, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Programming / Algorithms, COMPUTERS / Security / General, LAW / Science & Technology

Leveraging gene correlations in single cell transcriptomic data

Autori: Silkwood, Kai Dollinger, Emmanuel Gervin, Joshua a ďalší

Zdroj: BMC Bioinformatics. 25(1)

Predmety: 31 Biological Sciences (for-2020), 3102 Bioinformatics and Computational Biology (for-2020), Human Genome (rcdc), Genetics (rcdc), Single-Cell Analysis (mesh), Humans (mesh), Sequence Analysis, RNA (mesh), Transcriptome (mesh), Algorithms (mesh), Gene Expression Profiling (mesh), Gene Regulatory Networks (mesh), Single cell RNA sequencing, Gene-gene correlation, Gene regulatory network, Gene co-expression network, Melanoma, Humans (mesh), Gene Expression Profiling (mesh), Sequence Analysis, RNA (mesh), Algorithms (mesh), Gene Regulatory Networks (mesh), Single-Cell Analysis (mesh), Transcriptome (mesh), Gene co-expression network, Gene regulatory network, Gene–gene correlation, Melanoma, Single cell RNA sequencing, Single-Cell Analysis (mesh), Humans (mesh), Sequence Analysis, RNA (mesh), Transcriptome (mesh), Algorithms (mesh), Gene Expression Profiling (mesh), Gene Regulatory Networks (mesh), 01 Mathematical Sciences (for), 06 Biological Sciences (for), 08 Information and Computing Sciences (for), Bioinformatics (science-metrix), 31 Biological sciences (for-2020), 46 Information and computing sciences (for-2020), 49 Mathematical sciences (for-2020)

Prístupová URL adresa: https://escholarship.org/uc/item/15k712w5