Resultados de búsqueda - "neural network"

Prediction of 30-Day Hospital Readmissions for All-Cause Dental Conditions using Machine Learning por Hung M, Li W, Hon ES, Su S, Su W, He Y, Sheng X, Holubkov R, Lipsky MS

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Development and Validation of a Robust and Interpretable Early Triaging Support System for Patients Hospitalized With COVID-19: Predictive Algorithm Modeling and Interpretation Stu... por Sangwon Baek, Yeon joo Jeong, Yun-Hyeon Kim, Jin Young Kim, Jin Hwan Kim, Eun Young Kim, Jae-Kwang Lim, Jungok Kim, Zero Kim, Kyunga Kim, Myung Jin Chung

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Effect of an Internet-Delivered Cognitive Behavioral Therapy-Based Sleep Improvement App for Shift Workers at High Risk of Sleep Disorder: Single-Arm, Nonrandomized Trial por Asami Ito-Masui, Ryota Sakamoto, Eri Matsuo, Eiji Kawamoto, Eishi Motomura, Hisashi Tanii, Han Yu, Akane Sano, Hiroshi Imai, Motomu Shimaoka

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Impact of Social Determinants of Health and Demographics on Refill Requests by Medicare Patients Using a Conversational Artificial Intelligence Text Messaging Solution: Cross-Secti... por Brar Prayaga, Rena, Agrawal, Ridhika, Nguyen, Benjamin, Jeong, Erwin W, Noble, Harmony K, Paster, Andrew, Prayaga, Ram S

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مقارنة بين تقنيات تحسين الصور للتعرف على الصور الطبية تلقائيًا وتصنيفها وتنفيذها على صورة دماغ التصوير بالرنين المغناطيسي... por سمير كرمان, صبحي الشيخة

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Risk Factors for Gout in Taiwan Biobank: A Machine Learning Approach por Liu YR, Nfor ON, Zhong JH, Lin CY, Liaw YP

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Deep Learning-Based Available and Common Clinical-Related Feature Variables Robustly Predict Survival in Community-Acquired Pneumonia por Feng DY, Ren Y, Zhou M, Zou XL, Wu WB, Yang HL, Zhou YQ, Zhang TT

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Automatic Recognition, Segmentation, and Sex Assignment of Nocturnal Asthmatic Coughs and Cough Epochs in Smartphone Audio Recordings: Observational Field Study por Barata, Filipe, Tinschert, Peter, Rassouli, Frank, Steurer-Stey, Claudia, Fleisch, Elgar, Puhan, Milo Alan, Brutsche, Martin, Kotz, David, Kowatsch, Tobias

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PERAMALAN VOLUME PENUMPANG KERETA API DI PULAU JAWA-SUMATERA DENGAN METODE JARINGAN SYARAF TIRUAN BACKPROGATION por Rahman, Riza Fauzi

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Process Mining Workshops ICPM 2021 International Workshops, Eindhoven, The Netherlands, October 31 - November 4, 2021, Revised Selected Papers /

Tabla de Contenidos: “…Rethinking the Input for Process Mining: Insights from the XES Survey and Workshop -- Probability Estimation of Uncertain Process Trace Realizations -- Visualizing Trace Variants From Partially Ordered Event Data -- Analyzing Multi-level BOM-structured Event Data -- Linac: A Smart Environment Simulator of Human Activities -- Root Cause Analysis in Process Mining with Probabilistic Temporal Logic -- xPM: A Framework for Process Mining with Exogenous Data -- A Bridging Model for Process Mining and IoT -- Exploiting Instance Graphs and Graph Neural Networks for next activity prediction -- Can deep neural networks learn process modelstructure? …”
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Language Technologies for the Challenges of the Digital Age 27th International Conference, GSCL 2017, Berlin, Germany, September 13-14, 2017, Proceedings /

Tabla de Contenidos: “…Examining the Impact of Implicitness on the Perception of Hate Speech -- Automatic Classification of Abusive Language and Personal Attacks in Various Forms of Online Communication -- Token Level Code-Switching Detection Using Wikipedia as a Lexical Resource -- How Social Media Text Analysis Can Inform Disaster Management -- A Comparative Study of Uncertainty Based Active Learning Strategies for General Purpose Twitter Sentiment Analysis with Deep Neural Networks -- An Infrastructure for Empowering Internet Users to Handle Fake News and Other Online Media Phenomena -- Different Types of Automated and Semi-automated Semantic Storytelling: Curation Technologies for Different Sectors -- Twitter Geolocation Prediction Using Neural Networks -- Diachronic Variation of Temporal Expressions in Scientific Writing Through the Lens of Relative Entropy -- A Case Study on the Relevance of the Competence Assumption for Implicature Calculation in Dialogue Systems -- Supporting Sustainable Process Documentation -- Optimizing Visual Representations in Semantic Multi-Modal Models with Dimensionality Reduction, De-noising and Contextual Information -- Using Argumentative Structure to Grade Persuasive Essays.…”
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Factores de mal pronóstico en pacientes con Accidente Cerebrovascular Isquémico Agudo por Bettsy Bell Bosch Rodriguez, Marbelys Guevara Rodríguez, Mercedes Bordón Hernández, Rolando Luna Molinero

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Aproximación a la metodología basada en árboles de decisión (CART): Mortalidad hospitalaria del infarto agudo de miocardio Approach to the methodology of classification and reg... por Javier Trujillano, Antonio Sarria-Santamera, Aureli Esquerda, Mariona Badia, Matilde Palma, Jaume March

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Deep learning-based image analysis methods for brightfield-acquired multiplex immunohistochemistry images por Danielle J. Fassler, Shahira Abousamra, Rajarsi Gupta, Chao Chen, Maozheng Zhao, David Paredes, Syeda Areeha Batool, Beatrice S. Knudsen, Luisa Escobar-Hoyos, Kenneth R. Shroyer, Dimitris Samaras, Tahsin Kurc, Joel Saltz

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Suspected adverse drug reactions of rivaroxaban reported in the United States food and drug administration adverse event reporting system database: a pharmacovigilance study por Jingying Wu, Jianru Wu, Biyu Tang, Xinru Wang, Fenfang Wei, Yi Zhang, Limin Li, Hongqiao Li, Bei Wang, Wenyu Wu, Xiang Hong

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Artificial intelligence‐based analysis of body composition predicts outcome in patients receiving long‐term mechanical circulatory support por Isabell Anna Just, Felix Schoenrath, Luise Roehrich, Emanuel Heil, Julia Stein, Timo Alexander Auer, Uli Fehrenbach, Evgenij Potapov, Natalia Solowjowa, Felix Balzer, Dominik Geisel, Juergen Braun, Georg Boening

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Machine learning approaches for prediction of early death among lung cancer patients with bone metastases using routine clinical characteristics: An analysis of 19,887 patients por Yunpeng Cui, Xuedong Shi, Shengjie Wang, Yong Qin, Bailin Wang, Xiaotong Che, Mingxing Lei, Mingxing Lei, Mingxing Lei

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Tools and Algorithms for the Construction and Analysis of Systems 27th International Conference, TACAS 2021, Held as Part of the European Joint Conferences on Theory and Practice o...

Tabla de Contenidos: “…Verification Techniques (not SMT) -- Directed Reachability for Infinite-State Systems -- Bridging Arrays and ADTs in Recursive Proofs -- A Two-Phase Approach for Conditional Floating-Point Verification -- Symbolic Coloured SCC Decomposition -- Case Studies -- Local Search with a SAT Oracle for Combinatorial Optimization -- Analyzing Infrastructure as Code to Prevent Intra-update Sniping Vulnerabilities -- Proof Generation/Validation -- Certifying Proofs in the First-Order Theory of Rewriting -- Syntax-Guided Quantifier Instantiation -- Making Theory Reasoning Simpler -- Deductive Stability Proofs for Ordinary Differential Equations -- Tool Papers -- An SMT-Based Approach for Verifying Binarized Neural Networks -- cake lpr: Verified Propagation Redundancy Checking in CakeML -- Deductive Veri cation of Floating-Point Java Programs in KeY -- Helmholtz: A Verifier for Tezos Smart Contracts Based on Refinement Types -- SyReNN: A Tool for Analyzing Deep Neural Networks -- MachSMT: A Machine Learning-based Algorithm Selector for SMT Solvers -- dtControl 2.0: Explainable Strategy Representation via Decision Tree Learning Steered by Experts -- Tool Demo Papers -- HLola: a Very Functional Tool for Extensible Stream Runtime Verification -- AMulet 2.0 for Verifying Multiplier Circuits -- RTLola on Board: Testing Real Driving Emissions on your Phone -- Replicating Restart with Prolonged Retrials: An Experimental Report -- A Web Interface for Petri Nets with Transits and Petri Games -- Momba: JANI Meets Python -- SV-Comp Tool Competition Papers -- Software Veri cation: 10th Comparative Evaluation (SV-COMP 2021) -- CPALockator: Thread-Modular Approach with Projections (Competition Contribution) -- Dartagnan: Leveraging Compiler Optimizations and the Price of Precision (Competition Contribution) -- Gazer-Theta: LLVM-based Veri er Portfolio with BMC/CEGAR (Competition Contribution) -- Goblint: Thread-Modular Abstract Interpretation Using Side-Effecting Constraints (Competition Contribution) -- Towards String Support in JayHorn (Competition Contribution) -- JDart: Portfolio Solving, Breadth-First Search and SMT-Lib Strings (Competition Contribution) -- Symbiotic 8: Beyond Symbolic Execution (Competition Contribution) -- VeriAbs: A Tool for Scalable Verification by Abstraction (Competition Contribution).…”
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Modelo de predição de risco de internação em pacientes com Diabetes mellitus tipo 2 atendidos na atenção primária de Curitiba - uma abordagem da inteligência artificial com machine... por Guilherme Silva Julian, Daniel Ferraz de Campos Filho

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Construction of Autophagy-Related Gene Classifier for Early Diagnosis, Prognosis and Predicting Immune Microenvironment Features in Sepsis by Machine Learning Algorithms por Chen Z, Zeng L, Liu G, Ou Y, Lu C, Yang B, Zuo L

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