-
1
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 Journalمصطلحات 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
-
2
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 Journalمصطلحات 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
-
3
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
-
4
المؤلفون: Yotsawat Pomyen, Kwanjeera Wanichthanarak, Patcha Poungsombat, Johannes F. Fahrmann, Dmitry Grapov, Sakda Khoomrung
المصدر: Computational and Structural Biotechnology Journal
Computational and Structural Biotechnology Journal, Vol 18, Iss, Pp 2818-2825 (2020)مصطلحات موضوعية: CNN, Convolutional Neural Network, SMILE, Sparse Multidimensional Iterative Lineshape-enhanced, Computer science, ANN, Artificial Neural Network, CFM-EI, Competitive Fragmentation Modeling-Electron Ionization, SMILES, Simplified Molecular-Input Line-Entry System, Review, computer.software_genre, Biochemistry, Convolutional neural network, Omics data, 0302 clinical medicine, DNN, Deep Neural Network, Structural Biology, m/z, mass/charge ratio, NEIMS, Neural Electron-Ionization Mass Spectrometry, SMARTS, SMILES arbitrary target specification, ER, Estrogen Receptor, 0303 health sciences, Artificial neural network, NUS, Non-Uniformly Sampling, LC-MS, Liquid Chromatography-Mass Spectrometry, ReLU, Rectified Linear Unit, Computer Science Applications, Identification (information), RNN, Recurrent Neural Network, MLP, Multi-layered Perceptron, ML, Machine Learning, 030220 oncology & carcinogenesis, RF, Random Forest, Biotechnology, Curse of dimensionality, lcsh:Biotechnology, Biophysics, ECFP, Extended Circular Fingerprint, NMR, Nuclear Magnetic Resonance, Machine learning, FID, Free Induction Decay, FTIR, Fourier Transform Infrared, 03 medical and health sciences, AI, Artificial Intelligence, Metabolomics, lcsh:TP248.13-248.65, Genetics, Metabolome, FP score, Fingerprint correlation score, 030304 developmental biology, ComputingMethodologies_COMPUTERGRAPHICS, MS, Mass Spectrometry, Mass spectrometry, business.industry, Deep learning, DL, Deep Learning, IST, Iterative Soft Thresholding, SRA, Sequence Read Archive, HDLSS data, High Dimensional Low Sample Size data, PARAFAC2, Parallel Factor Analysis 2, NMR, GC–MS, Gas Chromatography-Mass Spectrometry, AUC, Area Under the receiver-operating characteristic Curve, CCS value, Collision Cross Section value, LSTM, Long Short-Term Memory, istHMS, Implementation of IST at Harvard Medical School, Artificial intelligence, business, computer, VAE, Variational Autoencoder
إعادة تعيين المنقحات
عرض المنقحات (%%عد%%)