المؤلفون: Fan Xu, Yuchao Xiong, Guoxi Ye, Yingying Liang, Wei Guo, Qiuping Deng, Li Wu, Wuyi Jia, Dilang Wu, Song Chen, Zhiping Liang, Xuwen Zeng

المصدر: Frontiers in Endocrinology, Vol 14 (2023)

مصطلحات موضوعية: vertebral compression fractures, DL: deep learning, DR: digital radiography, x-ray, CNN, Diseases of the endocrine glands. Clinical endocrinology, RC648-665

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fendo.2023.1025749/full; https://doaj.org/toc/1664-2392

URL الوصول: https://doaj.org/article/46389ba02ac747c78f4570d0650ef8ee

المؤلفون: Qobilov Sirojiddin, Sukhrobjon Abdullaev, Elyor Ismoilov, Yorkinjon Abdukhalilov, Sardor Ibodov

مصطلحات موضوعية: Personalized medice, ML and AI algorithms, big data, DL(deep learning),individualized healthcare

Relation: https://doi.org/10.5281/zenodo.8289897; https://doi.org/10.5281/zenodo.8289898; oai:zenodo.org:8289898

الاتاحة: https://doi.org/10.5281/zenodo.8289898

المؤلفون: Devika R Nilacka, Resmara S, Greeshma R, Griesh R, Joice P Abraham, Najma Najeeb, Shehanas K Salim

مصطلحات موضوعية: CNN - Convolutional Neural Network GLCM - Gray Level Co-occurrence Matrix DL - Deep Learning ML - Machine Learning SC - Soft Computing CV - Computer Vision AI Artificial Intelligence ANN - Artificial Neural Network

Relation: https://doi.org/10.5281/zenodo.8013545; https://doi.org/10.5281/zenodo.8013546; oai:zenodo.org:8013546

الاتاحة: https://doi.org/10.5281/zenodo.8013546

المؤلفون: Özkan, Şafak Gökhan

المساهمون: orcid:0000-0002-7770-7480, TAÜ, Fen Bilimleri Enstitüsü, Robotlar ve Akıllı Sistemler Ana Bilim Dalı Koleksiyonu

مصطلحات موضوعية: NI-natural intelligence, AI-Artificial Intelligence, ML-machine learning, DL-deep learning, ES-expert systems, Mineral processing

وصف الملف: application/pdf

Relation: Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; Özkan, Şafak G. (2023). Artificial intelligence versus natural intelligence in mineral processing. Physicochemical Problems of Mineral Processing, 59 (5).; https://hdl.handle.net/20.500.12846/1136; 59

الاتاحة: https://hdl.handle.net/20.500.12846/1136

المؤلفون: K, Sedhuramalingam, N, Saravana Kumar

المصدر: Salud, Ciencia y Tecnología - Serie de Conferencias, ISSN 2953-4860, Nº. 3, 2024 (Ejemplar dedicado a: Salud, Ciencia y Tecnología - Serie de Conferencias)

مصطلحات موضوعية: WSN (Wireless Sensor Network), IDS (Intrusion Detection System), DL (Deep Learning), Hybrid Optimization, Deep Convolutional Neural Network, Bidirectional Lon Short Term Memory

وصف الملف: application/pdf

Relation: https://dialnet.unirioja.es/servlet/oaiart?codigo=9872177

الاتاحة: https://dialnet.unirioja.es/servlet/oaiart?codigo=9872177

المؤلفون: Feng, Ruomu, Feng, Xiaohua

المساهمون: Hebei University of Science & Technology, University of Bedfordshire

مصطلحات موضوعية: artificial intelligence, smart intelligence, DL (deep learning), edge computing, robot security and forensics, Big Data analysis

Relation: https://ieeexplore.ieee.org/document/9730450; Feng R, Feng X (2021) 'Robot, edge intelligence and data survey', 2021 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech) - Canada, IEEE.; http://hdl.handle.net/10547/626162

الاتاحة: http://hdl.handle.net/10547/626162
https://doi.org/10.1109/DASC-PICom-CBDCom-CyberSciTech52372.2021.00140

المؤلفون: Xiang Wang, Zhicheng Gong, Yuanliang Yan, Xinxin Ren, Shuangshuang Zeng, Zhijie Xu

المصدر: Acta Pharmaceutica Sinica B, Vol 11, Iss 11, Pp 3393-3405 (2021)
Acta Pharmaceutica Sinica. B

مصطلحات موضوعية: Risk analysis, Artificial intelligence, CTLA-4, cytotoxic T lymphocyte-associated antigen 4, Computer science, medicine.medical_treatment, Diagnostic accuracy, Cancer immunotherapy, Review, MMR, mismatch repair, RM1-950, MHC-I, major histocompatibility complex class I, TNBC, triple-negative breast cancer, PD-1, programmed cell death protein 1, 03 medical and health sciences, 0302 clinical medicine, Machine learning, medicine, ICB, immune checkpoint blockade, ML, machine learning, General Pharmacology, Toxicology and Pharmaceutics, Diagnostics, 030304 developmental biology, 0303 health sciences, DL, deep learning, US, ultrasonography, business.industry, CT, computed tomography, irAEs, immune-related adverse events, ComputingMethodologies_PATTERNRECOGNITION, Software deployment, 030220 oncology & carcinogenesis, AI, artificial intelligence, Health information, Therapeutics. Pharmacology, PD-L1, PD-1 ligand1, business, MRI, magnetic resonance imaging

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4aa57e261db003a6a72bbc83038c2985
http://www.sciencedirect.com/science/article/pii/S2211383521000459

المؤلفون: Fan Xu, Yuchao Xiong, Guoxi Ye, Yingying Liang, Wei Guo, Qiuping Deng, Li Wu, Wuyi Jia, Dilang Wu, Song Chen, Zhiping Liang, Xuwen Zeng

مصطلحات موضوعية: Endocrinology, Reproduction, Cell Metabolism, vertebral compression fractures, DL: deep learning, DR: digital radiography, x-ray, CNN

Relation: https://figshare.com/articles/dataset/Table_1_Deep_learning-based_artificial_intelligence_model_for_classification_of_vertebral_compression_fractures_A_multicenter_diagnostic_study_xlsx/22314694

الاتاحة: https://doi.org/10.3389/fendo.2023.1025749.s001
https://figshare.com/articles/dataset/Table_1_Deep_learning-based_artificial_intelligence_model_for_classification_of_vertebral_compression_fractures_A_multicenter_diagnostic_study_xlsx/22314694

المؤلفون: Konstantina S. Nikita, Eleni S. Adamidi, Konstantinos Mitsis

المصدر: Computational and Structural Biotechnology Journal, Vol 19, Iss, Pp 2833-2850 (2021)
Computational and Structural Biotechnology Journal

مصطلحات موضوعية: LR, Logistic Regression, APTT, Activated Partial Thromboplastin Time, DNN, Deep Neural Networks, GNB, Gaussian Naïve Bayes, RSV, Respiratory Syncytial Virus, SVM, Support Vector Machine, Review, Disease, Biochemistry, WBC, White Blood Cell count, 0302 clinical medicine, Multimodal data, DLC, Density Lipoprotein Cholesterol, Medicine, CPP, COVID-19 Positive Patients, Nadam optimizer, Nesterov Accelerated Adaptive Moment optimizer, 0303 health sciences, CRT, Classification and Regression Decision Tree, Prognosis, LDLC, Low Density Lipoprotein Cholesterol, CRP, C-Reactive Protein, GFS, Gradient boosted feature selection, LDA, Linear Discriminant Analysis, Systematic review, ADA, Adenosine Deaminase, ML, Machine Learning, CNN, Convolutional Neural Networks, 030220 oncology & carcinogenesis, GGT, Glutamyl Transpeptidase, RBP, Retinol Binding Protein, RF, Random Forest, NLP, Natural Language Processing, INR, International Normalized Ratio, LASSO, Least Absolute Shrinkage and Selection Operator, FCV, Fold Cross Validation, SEN, Sensitivity, Biophysics, ABG, Arterial Blood Gas, SRLSR, Sparse Rescaled Linear Square Regression, RBF, Radial Basis Function, AI, Artificial Intelligence, 03 medical and health sciences, PWD, Platelet Distribution Width, RFE, Recursive Feature Elimination, Genetics, OB, Occult Blood test, Paco2, Arterial Carbondioxide Tension, MLP, MultiLayer Perceptron, DL, Deep Learning, ED, Emergency Department, Guideline, CI, Confidence Interval, ANN, Artificial Neural Networks, GFR, Glomerular Filtration Rate, MPV, Mean Platelet Volume, TBA, Total Bile Acid, Adaboost, Adaptive Boosting, TP248.13-248.65, MCV, Mean corpuscular volume, ET, Extra Trees, Artificial intelligence, L1LR, L1 Regularized Logistic Regression, MCHC, Mean Corpuscular Hemoglobin Concentration, ARMED, Attribute Reduction with Multi-objective Decomposition Ensemble optimizer, CK-MB, Creatine Kinase isoenzyme, LSTM, Long-Short Term Memory, FL, Federated Learning, PCT, Thrombocytocrit, Structural Biology, Pandemic, Diagnosis, TTS, Training Test Split, HDLC, High Density Lipoprotein Cholesterol, PPV, Positive Predictive Values, k-NN, K-Nearest Neighbor, Computer Science Applications, BUN, Blood Urea Nitrogen, FiO2, Fraction of Inspiration O2, RBC, Red Blood Cell, SG, Specific Gravity, GDCNN, Genetic Deep Learning Convolutional Neural Network, Screening, XGB, eXtreme Gradient Boost, Apol B, Apolipoprotein B, GBDT, Gradient Boost Decision Tree, PaO2, Arterial Oxygen Tension, Biotechnology, NB, Naïve Bayes, Coronavirus disease 2019 (COVID-19), Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), SMOTE, Synthetic Minority Oversampling Technique, Apol AI, Apolipoprotein AI, CoxPH, Cox Proportional Hazards, Acc, Accuracy, AUC, Area Under the Curve, ComputingMethodologies_COMPUTERGRAPHICS, 030304 developmental biology, ESR, Erythrocyte Sedimentation Rate, LDH, Lactate Dehydrogenase, BNB, Bernoulli Naïve Bayes, business.industry, RDW, Red blood cell Distribution Width, NPV, Negative Predictive Values, GBM light, Gradient Boosting Machine light, DCNN, Deep Convolutional Neural Networks, SPE, Specificity, COVID-19, Inception Resnet, Inception Residual Neural Network, DT, Decision Tree, MRMR, Maximum Relevance Minimum Redundancy, SaO2, Arterial Oxygen saturation, business, Predictive modelling

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99d4904675baf780e5818934ae227323
http://www.sciencedirect.com/science/article/pii/S2001037021001914

المؤلفون: Victor Maojo, Nereida Rodriguez-Fernandez, Adrian Carballal, Carlos Fernandez-Lozano, Francisco J. Novoa, Alejandro Pazos, Paula Carracedo-Reboredo, Francisco Cedrón, Jose Liñares-Blanco

المصدر: Computational and Structural Biotechnology Journal, Vol 19, Iss, Pp 4538-4558 (2021)
RUC. Repositorio da Universidade da Coruña
instname
Computational and Structural Biotechnology Journal

مصطلحات موضوعية: GNN, Graph Neural Networks, Computer science, CPI, Compound-protein interaction, Review, computer.software_genre, NB, Naive Bayes, FNN, Fully Connected Neural Networks, Biochemistry, Field (computer science), AUC, Area under the Curve, PCA, Principal Component Analyisis, Machine Learning, DNA, Deoxyribonucleic acid, ADMET, Absorption, distribution, metabolism, elimination and toxicity, Structural Biology, Drug Discovery, MCC, Matthews correlation coefficient, GEO, Gene Expression Omnibus, t-SNE, t-Distributed Stochastic Neighbor Embedding, Drug discovery, QSAR, Cheminformatics, BBB, Blood–Brain barrier, OOB, Out of Bag, Molecular Descriptors, Computer Science Applications, CNS, Central Nervous System, MKL, Multiple Kernel Learning, ML, Machine Learning, CNN, Convolutional Neural Networks, RF, Random Forest, Biotechnology, CV, Cross Validation, SVM, Support Vector Machines, Quantitative structure–activity relationship, GCN, Graph Convolutional Networks, MACCS, Molecular ACCess System, Biophysics, QSAR, Quantitative structure–activity relationship, FP, Fringerprints, Machine learning, SMILES, simplified molecular-input line-entry system, ADR, Adverse Drug Reaction, KEGG, Kyoto Encyclopedia of Genes and Genomes, WHO, World Health Organization, MD, Molecular Descriptors, AI, Artificial Intelligence, Deep Learning, Component (UML), GO, Gene Ontology, ECFP, Extended Connectivity Fingerprints, Genetics, Set (psychology), ComputingMethodologies_COMPUTERGRAPHICS, APFP, Atom Pairs 2d FingerPrint, business.industry, DL, Deep Learning, Deep learning, CDK, Chemical Development Kit, RNA, Ribonucleic Acid, FDA, Food and Drug Administration, ANN, Artificial Neural Networks, FS, Feature Selection, TCGA, The Cancer Genome Atlas, State (computer science), Artificial intelligence, business, computer, TP248.13-248.65

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1455b1a18d7c6c8d727e34d6b7d78f8
http://www.sciencedirect.com/science/article/pii/S2001037021003421

المؤلفون: Rabindra R. Watson, Mansour A. Parsi, Shelby Sullivan, Allison R. Schulman, Guru Trikudanathan, David R. Lichtenstein, Rahul Pannala, John T. Maple, Arvind J. Trindade, Joshua Melson, Kumar Krishnan

المصدر: VideoGIE

مصطلحات موضوعية: CNN, convolutional neural network, ADR, adenoma detection rate, AMR, adenoma miss rate, Convolutional neural network, law.invention, 03 medical and health sciences, 0302 clinical medicine, Capsule endoscopy, law, CADx, CAD studies for colon polyp classification, BE, Barrett’s esophagus, VLE, volumetric laser endomicroscopy, WCE, wireless capsule endoscopy, Medicine, Radiology, Nuclear Medicine and imaging, ML, machine learning, Gastrointestinal endoscopy, SVM, support vector machine, PIVI, preservation and Incorporation of Valuable Endoscopic Innovations, DL, deep learning, Contextual image classification, Artificial neural network, business.industry, Deep learning, Gastroenterology, NBI, narrow-band imaging, WL, white light, CAD, computer-aided diagnosis, ANN, artificial neural network, HDWL, high-definition white light, medicine.disease, CI, confidence interval, GI, gastroenterology, ASGE society document, NPV, negative predictive value, Computer-aided diagnosis, 030220 oncology & carcinogenesis, Barrett's esophagus, CRC, colorectal cancer, HD-WLE, high-definition white light endoscopy, AI, artificial intelligence, 030211 gastroenterology & hepatology, CADe, CAD studies for colon polyp detection, Artificial intelligence, business

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84440cc7ed64978c38aa23766b5387ba
https://doi.org/10.1016/j.vgie.2020.08.013

المؤلفون: Shadi Ebrahimian, Mannudeep K. Kalra, Felix Durlak, Jens Erik Nielsen-Kudsk, Mads Dam Lyhne, Mathis Zimmermann, Luca Saba, Jacob Valentin Hansen, Matthias Mitschke, Zeno Falaschi, Alessio Paschè, Chiara Arru, Alessandro Carriero

المصدر: Arru, C, Ebrahimian, S, Falaschi, Z, Hansen, J V, Pasche, A, Lyhne, M D, Zimmermann, M, Durlak, F, Mitschke, M, Carriero, A, Nielsen-Kudsk, J E, Kalra, M K & Saba, L 2021, ' Comparison of deep learning, radiomics and subjective assessment of chest CT findings in SARS-CoV-2 pneumonia ', Clinical Imaging, vol. 80, pp. 58-66 . https://doi.org/10.1016/j.clinimag.2021.06.036
Clinical Imaging

مصطلحات موضوعية: medicine.medical_specialty, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), CXR, Chest X-ray, Chest ct, Logistic regression, law.invention, Chest CT, Radiomics, law, Humans, Medicine, Radiology, Nuclear Medicine and imaging, Cardiothoracic Imaging, Lung, Aged, Retrospective Studies, Aged, 80 and over, DL, Deep learning, RT-PCR, Reverse transcriptase-polymerase chain reaction, ANOVA, Analysis or variance, business.industry, SARS-CoV-2, COVID-19, Retrospective cohort study, Deep learning, Pneumonia, Middle Aged, medicine.disease, Intensive care unit, medicine.anatomical_structure, CT, Computed tomography, Radiology, Tomography, X-Ray Computed, business

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f65f0ca98994df3f8f386a4ee6ce334f
https://pure.au.dk/portal/da/publications/comparison-of-deep-learning-radiomics-and-subjective-assessment-of-chest-ct-findings-in-sarscov2-pneumonia(7f47e006-8b29-44ae-8439-e401d3ed14c2).html

مصطلحات موضوعية: technology learning machine, signal FTN single carrier, FTN a mulcarrier single, мультиплексирование с ортогональным частотным разделением, DL(deep learning-подраздел машинного обучения), faster than nyquist, DL (deep learning-subsection machine learning), непрерывное подавление помеÑ, быстрее чем найквист, сигнал FTN с несколькими несущими, offset modulation amplitude kvadratunoy, orthogonal frequency division multiplexing, continuous suppression, сигнал FTN с одной несущей, смещение квадратуной амплитудной модуляции, Ñ‚ÐµÑ Ð½Ð¾Ð»Ð¾Ð³Ð¸Ñ машинного обучения

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::7327da49bbffe144b85f90944595a073

المؤلفون: Pinto Garay, Jaime Alexander

المساهمون: Florez Valencia, Leonardo, Rueda Jiménez, Germán Camilo, Ortiz Pabón, Efrain

مصطلحات موضوعية: OCR (Reconocimiento Óptico de Caracteres), CNN (Redes Neuronales Convolucionales), DL (Aprendizaje Profundo), AI (Inteligencia Artificial), Tesseract, OpenCV, LSTM, OCR (Optical Character Recognition), CNN (Convolutional Neural Networks), DL (Deep Learning), AI (Artificial Intelligence), LSTM (Long Short-Term Memory), Maestría en inteligencia artificial - Tesis y disertaciones académicas, Reconocimiento óptico de modelos, Dispositivos de reconocimiento óptico de caracteres, Inteligencia artificial, Redes neuronales (Computadores)

وصف الملف: PDF; application/pdf

Relation: http://hdl.handle.net/10554/64537; instname:Pontificia Universidad Javeriana; reponame:Repositorio Institucional - Pontificia Universidad Javeriana; repourl:https://repository.javeriana.edu.co

الاتاحة: http://hdl.handle.net/10554/64537

المؤلفون: Eszter Nagy, Robert Marterer, Franko Hržić, Erich Sorantin, Sebastian Tschauner

المصدر: PLOS ONE. 17:e0276503

مصطلحات موضوعية: Fractures, Bone, AI, Artificial intelligence, DL, Deep learning, DR, Digital radiography, HITL, “Human- in-the-loop”, IoU, Intersection over Union, PACS, Multidisciplinary, Artificial Intelligence, Radiologists, Humans, Wrist, Child, Radiology, Students

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b24f95955cb02568b480efde031514ee
https://doi.org/10.1371/journal.pone.0276503

المؤلفون: Giovanni Costantini, Valerio Cesarini Dr., Carlo Robotti, Marco Benazzo, Filomena Pietrantonio, Stefano Di Girolamo, Antonio Pisani, Pietro Canzi, Simone Mauramati, Giulia Bertino, Irene Cassaniti, Fausto Baldanti, Giovanni Saggio

المصدر: Knowledge-Based Systems. 253:109539

مصطلحات موضوعية: CFS, Correlation-based Feature Selection, CNN, Convolutional Neural Network, Support Vector Machine, Information Systems and Management, PvsH, Positive versus Healthy subjects comparison, 2S, Sentence vocal task, SVM, Support Vector Machine, 1E, Vowel /e/ vocal task, Machine Learning, 3C, Cough vocal task, DL, ROC, RvsH, Positive subjects, Nasal Swab, Settore ING-IND/31, Classification, P, Positive subjects, Positive versus Healthy subjects comparison, 2S, PCR, Recovered versus Healthy subjects comparison, ML, Machine Learning, Speech processing, MFCC, RF, Random Forest, Sentence vocal task, ReLu, Rectified Linear Unit, 3C, ReLu, CNN, Rectified Linear Unit, CFS, Adaboost, Vowel /e/ vocal task, SVM, Convolutional Neural Network, Polymerase Chain Reaction-based molecular swabs, Correlation-based Feature Selection, NS, Recovered subjects, Receiver-Operating Curve, Management Information Systems, Deep Learning, Artificial Intelligence, MFCC, Mel-frequency Cepstral Coefficients, NS, Nasal Swab, PvsH, Random Forest, DL, Deep Learning, COVID-19, ROC, Receiver-Operating Curve, H, Healthy control subjects, Healthy control subjects, R, Recovered subjects, ML, RvsH, Recovered versus Healthy subjects comparison, PCR, Polymerase Chain Reaction-based molecular swabs, Cough vocal task, 1E, RF, Mel-frequency Cepstral Coefficients, Software

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6cdc0d2ce4fd9bedac1b7a68c1b45ecd
https://doi.org/10.1016/j.knosys.2022.109539

المؤلفون: Amir Mosavi, Afshin Shoeibi, Roohallah Alizadehsani, Saeid Nahavandi, Jirí Jaromír Klemeš, Juan Manuel Górriz, Abbas Khosravi, Hossein Moosaei, Abdoulmohammad Gholamzadeh Chofreh, Danial Sharifrazi, Feybi Ariani Goni, Nooshin Ayoobi

المصدر: Results in Physics, Vol 27, Iss, Pp 104495-(2021)
Results in Physics
Digibug. Repositorio Institucional de la Universidad de Granada
instname

مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, EV, Explained Variance, SARS, Serious Intense Respiratory Disorder, Computer science, ANN, Artificial Neural Network, Computer Vision and Pattern Recognition (cs.CV), MERS, Middle East Respiratory Syndrome, Computer Science - Computer Vision and Pattern Recognition, General Physics and Astronomy, SVM, Support Vector Machine, 02 engineering and technology, EMRO, Eastern Mediterranean Regional Office, 01 natural sciences, Machine Learning (cs.LG), New Cases of COVID-19, COVID-19 Prediction, ES, Exponential Smoothing, 010302 applied physics, RMSLE, Root Mean Squared Log Error, Physics, MAE, Mean Absolute Error, ReLU, Rectified Linear Unit, 021001 nanoscience & nanotechnology, LR, Linear Regression, MSLE, Mean Squared Log Error, New Deaths of COVID-19, Lasso, Least Absolute Shrinkage and Selection Operator, RNN, Repetitive Neural Network, SARS-COV-2, Serious Intense Respiratory Disorder Coronavirus 2, ML, Machine Learning, COVID-19, Coronavirus Disease 2019, 0210 nano-technology, IR, Iran, VAE, Variational Auto Encoder, Bi-Conv-LSTM, Bidirectional Convolutional Long Short Term Memory, Long Short Term Memory (LSTM), Conv-LSTM, Convolutional Long Short Term Memory, Coronavirus disease 2019 (COVID-19), QC1-999, DLSTM, Delayed Long Short-Term Memory, GRU, Gated Recurrent Unit, Convolutional Long Short Term Memory (Conv-LSTM), Article, WHO, World Health Organization, COVID-19 prediction, Bi-GRU, Bidirectional Gated Recurrent Unit, 0103 physical sciences, Machine learning, AU, Australia, Operations management, Time series, Gated Recurrent Unit (GRU), SARS-COV, SARS coronavirus, WPRO, Western Pacific Regional Office, business.industry, Deep learning, DL, Deep Learning, Bidirectional, ANFIS, Adaptive Network-based Fuzzy Inference System, PRISMA, Preferred Reporting Items for Precise Surveys and Meta-Analyses, Bi-LSTM, Bidirectional Long Short-Term Memory, Cost reduction, MAPE, Mean Absolute Percentage Error, LSTM, Long Short-Term Memory, MSE, Mean Square Error, Artificial intelligence, business, MLP-ICA, Multi-layered Perceptron-Imperialist Competitive Calculation, RMSE, Root Mean Square Error

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dba63eeff5e6cf758b6c893826c1ea93
http://www.sciencedirect.com/science/article/pii/S2211379721006069

المؤلفون: Gabriel Wardi, Kathryn A. Hibbert, Laura N. Brenner, Crystal M. North, Supreeth P. Shashikumar, Yu-Ping Shao, Paulina Paul, Gregory K. Robbins, Shibani S. Mukerji, Atul Malhotra, Shamim Nemati, Morgan Carlile, M. Brandon Westover

المصدر: Chest, vol 159, iss 6
Chest

مصطلحات موضوعية: Male, Hospitalized patients, medicine.medical_treatment, Respiratory System, coronavirus, PEEP, positive end-expiratory pressure, Critical Care and Intensive Care Medicine, Artificial respiration, AUC, area under the receiver operating characteristic curve, Prospective Studies, COVID-19, coronavirus disease 2019, Assistive Technology, Respiration, MV, mechanical ventilation, Middle Aged, artificial intelligence, Predictive value, Hospitalization, UCSD, University of California San Diego Health, Artificial, Female, Cardiology and Cardiovascular Medicine, Algorithm, Pulmonary and Respiratory Medicine, Critical Care, Coronavirus disease 2019 (COVID-19), Clinical Sciences, Bioengineering, lung, Predictive Value of Tests, EHR, electronic health record, medicine, Humans, ML, machine learning, artificial respiration, IQR, interquartile range, Aged, Mechanical ventilation, Health Services Needs and Demand, DL, deep learning, MGH, Massachusetts General Hospital, Receiver operating characteristic, business.industry, Chest Infections: CHEST Review, Deep learning, Tracheal intubation, COVID-19, deep learning, Intratracheal, Good Health and Well Being, ROC Curve, Artificial intelligence, Intubation, business

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d05a115f91d37541d6eeea74c7d8fd0
https://escholarship.org/uc/item/25c7b20r

المؤلفون: Francis Jesmar P. Montalbo

المصدر: Biomedical Signal Processing and Control

مصطلحات موضوعية: Densely connected neural networks, Computer science, BN, Batch Normalization, 02 engineering and technology, Convolutional neural network, 0302 clinical medicine, Chest x-rays, MP, Max-Pooling, CCE, Categorical Cross-Entropy, Feature fusion, Artificial neural network, ROC, Receiver Operating Characteristic, ReLU, Rectified Linear Unit, CXR, Chest X-Rays, rRT-PCR, real-time Reverse-Transcription Polymerase Chain Reaction, GRAD-CAM, Gradient-Weighted Class Activation Maps, CNN, Convolutional Neural Networks, Covid-19, AP, Average Pooling, 2019-20 coronavirus outbreak, Coronavirus disease 2019 (COVID-19), CV, Computer Vision, LR, Learning Rate, 0206 medical engineering, Biomedical Engineering, DR, Dropout Rate, Health Informatics, Article, WHO, World Health Organization, 03 medical and health sciences, PEPX, Projection-Expansion-Projection-Extension, Layer (object-oriented design), JPG, Joint Photographic Group, AUC, Area Under the Curve, CAD, Computer-Aided Diagnosis, ComputingMethodologies_COMPUTERGRAPHICS, BS, Batch Size, CT, Computer Tomography, business.industry, Deep learning, DL, Deep Learning, P-R, Precision-Recall, DCNN, Deep Convolutional Neural Networks, Pattern recognition, GAP, Global Average Pooling, Computer-aided diagnosis, 020601 biomedical engineering, Signal Processing, SGD, Stochastic Gradient Descent, Artificial intelligence, business, 030217 neurology & neurosurgery

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd17a80f1e10c18db12eaf0c9716a9c5
https://pubmed.ncbi.nlm.nih.gov/33828610

المؤلفون: Deepta Rajan, Vandana Mukherjee, Pallav L. Shah, Emmanouil Karteris, Matteo Manica, Jan Lukas Robertus, Dorith Shaham, Michal Guindy, Michal Rosen-Zvi, Deddeh Ballah, Maria Gabrani, Jannis Born, Adam Coy, Prasanth Prasanna, David Beymer

المصدر: Patterns
Patterns, Vol 2, Iss 6, Pp 100269-(2021)
Patterns, 2 (6)

مصطلحات موضوعية: Chest ultrasound, 2019-20 coronavirus outbreak, medicine.medical_specialty, Coronavirus disease 2019 (COVID-19), Chest X-Ray, MEDLINE, CT, (Computed Tomography), medical imaging, General Decision Sciences, chest CT, PRISMA, Review, ACR, (American College of Radiology), chest ultrasound, Patient care, Imaging modalities, US, (Ultrasound), PRISMA, (Preferred Reporting Items for Systematic Reviews and Meta-Analyses), QA76.75-76.765, Chest CT, Medical imaging, Medicine, Medical physics, Computer software, DL, (Deep Learning), meta-review, MI, (Medical Imaging), digital healthcare, CXR, (Chest Radiographs), Meta Review, artificial intelligence, COVID-19, Coronavirus, machine learning, deep learning, SARS-CoV-2, lung imaging, business.industry, Published Erratum, AI, (Artificial Intelligence), Correction, RT-PCR, (Reverse Transcriptase Polymerase Chain reaction), chest X-ray, Clinical Practice, LUS, (Lung Ultrasound), Clinical value, business

وصف الملف: Electronic; application/application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b11b47fe6c63c253eaefc58779a8b37