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AI for Disease Surveillance and Pandemic Intelligence : Intelligent Disease Detection in Action / / edited by Arash Shaban-Nejad, Martin Michalowski, Simone Bianco
| AI for Disease Surveillance and Pandemic Intelligence : Intelligent Disease Detection in Action / / edited by Arash Shaban-Nejad, Martin Michalowski, Simone Bianco |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (335 pages) |
| Disciplina | 610.28563 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Biomedical engineering Engineering - Data processing Artificial intelligence Computational Intelligence Biomedical Engineering and Bioengineering Data Engineering Artificial Intelligence |
| ISBN | 3-030-93080-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Digital Technologies for Clinical, Public and Global Health Surveillance -- Imputing Fine-grain Patterns of Mental Health with Statistical Modelling of Online Data -- Lexical and Acoustic Correlates of Clinical Speech Disturbance in Schizo-phrenia.-A Prognostic Tool to Identify Youth at Risk of at Least Weekly Cannabis Use -- Neuro-symbolic Neurodegenerative Disease Modeling as Probabilistic Pro-grammed Deep Kernels.-Self-Disclosure in Opioid Use Recovery Forums -- Identifying Prepubertal Children with Risk for Suicide Using Deep Neural Network Trained on Multimodal Brain Imaging -- Improving Adverse Drug Event Extraction with SpanBERT on Different Text Typologies -- Machine Learning Identification of Self-Reported COVID-19 Symptoms from Tweets in Canada -- RRISK: Analyzing COVID-19 Risk in Food Establishments -- AWS CORD-19 Search: A Neural Search Engine for COVID-19 Literature -- Inferring COVID-19 Biological Pathways from Clinical Phenotypes via Topological Analysis -- The EpiBench Platform to Propel AI/ML-based Epidemic Forecasting: A Prototype Demonstration Reaching Human Expert-level Performance -- Interpretable Classification of Human Exercise Videos through Pose Esti-mation and Multivariate Time Series Analysis -- Interpreting Deep Neural Networks for Medical Imaging using Concept Graphs -- Do Deep Neural Networks Forget Facial Action Units? - Exploring the Ef-fects of Transfer Learning in Health Related Facial Expression Recognition -- Utilizing Predictive Analysis to Aid Emergency Medical Services -- Measuring Physiological Markers of Stress During Conversational Agent Interactions -- EvSys: A Relational Dynamic System for Sparse Irregular Clinical Events -- Predicting Patient Outcomes with Graph Representation Learning -- Patient-Specific Seizure Prediction Using Single Seizure Electroenceph-alography Recording -- Evaluation Metrics for Deep Learning Imputation Models -- Logistic Regression Is Also A Black Box. Machine Learning Can Help. |
| Record Nr. | UNINA-9910552722303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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AI for Health Equity and Fairness : Leveraging AI to Address Social Determinants of Health / / edited by Arash Shaban-Nejad, Martin Michalowski, Simone Bianco
| AI for Health Equity and Fairness : Leveraging AI to Address Social Determinants of Health / / edited by Arash Shaban-Nejad, Martin Michalowski, Simone Bianco |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (316 pages) |
| Disciplina | 610.28563 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Biomedical engineering Engineering - Data processing Artificial intelligence Computational Intelligence Biomedical Engineering and Bioengineering Data Engineering Artificial Intelligence |
| ISBN | 3-031-63592-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Artificial Intelligence for Personalized Care, Wellness and Longevity Research -- Towards Personalised Patient Risk Prediction Using Temporal Hospital Data Trajectories -- Ambulance Routing for Optimizing Stroke Patient Outcomes -- Navigating the Synthetic Realm Harnessing Diffusion based Models for Laparoscopic Text to Image Generation -- Generation of Clinical Skin Images with Pathology with Scarce Data -- MILFORMER Weighted Dual Stream Class Centered Random Attention Multiple Instance Learning for Whole Slide Image Classification -- Multi-Prompt Fine Tuning of Foundation Models for Enhanced Biomedical Image Segmentation -- A Transformer Approach for Cognitive Impairment Classification -- Deep Learning Approach to Identify Diabetic Retinopathy Severity and Progression Using Ultra Wide Field Retinal Images -- DOST Domain Obedient Self supervision for Trustworthy Multi Label Classification with Noisy Labels -- Using Large Language Models for Generating Smart Contracts for Health Insurance from Textual Policies -- Can GPT Improve the State of Prior Authorization via Guideline Based Automated Question Answering -- Designing Retrieval Augmented Language Models for Clinical Decision Support -- Co morbidity Representation in Artificial Intelligence Tapping into Unused Clinical Knowledge -- MedBlindTuner Towards Privacy preserving Fine tuning on Biomedical Images with Transformers and Fully Homomorphic Encryption -- Knowledge Grounded Medical Dialogue Generation -- Interpretable Classification of Early Stage Parkinson’s Disease from EEG -- Semantic and Visual Attention Driven Multi LSTM Network for Automated Clinical Report Generation -- Hierarchical Multi Label Classification of Online Vaccine Concerns -- A Semantic Architecture for Continuous Health Monitoring, Risk Prediction, and Proactive Decision Making -- On the Feasibility of Multimodal Dialog Based Remote Balance Assessment -- SAIC Integration of Speech Anonymization and Identity Classification. |
| Record Nr. | UNINA-9910882888903321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Explainable AI in Healthcare and Medicine : Building a Culture of Transparency and Accountability / / edited by Arash Shaban-Nejad, Martin Michalowski, David L. Buckeridge
| Explainable AI in Healthcare and Medicine : Building a Culture of Transparency and Accountability / / edited by Arash Shaban-Nejad, Martin Michalowski, David L. Buckeridge |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (XXII, 344 p. 110 illus., 84 illus. in color.) |
| Disciplina | 610.28563 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Biomedical engineering Artificial intelligence Computational Intelligence Biomedical Engineering and Bioengineering Artificial Intelligence |
| ISBN | 3-030-53352-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Explainability and Interpretability: Keys to Deep Medicine -- Fast Similar Patient Retrieval from Large Scale Healthcare Data: A Deep Learning-based Binary Hashing Approach -- A Kernel to Exploit Informative Missingness in Multivariate Time Series from EHRs -- Machine learning discrimination of Parkinson's Disease stages from walk-er-mounted sensors data -- Personalized Dual-Hormone Control for Type 1 Diabetes Using Deep Rein-forcement Learning -- A Generalizable Method for Automated Quality Control of Functional Neuroimaging Datasets -- Uncertainty Characterization for Predictive Analytics with Clinical Time Series Data -- A Dynamic Deep Neural Network for Multimodal Clinical Data Analysis -- DeStress: Deep Learning for Unsupervised Identification of Mental Stress in Firefighters from Heart-rate Variability (HRV) Data -- A Deep Learning Approach for Classifying Nonalcoholic Steatohepatitis Pa-tients from Nonalcoholic Fatty Liver Disease Patients using Electronic Medical Records. |
| Record Nr. | UNINA-9910484170603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Multimodal AI in Healthcare : A Paradigm Shift in Health Intelligence / / edited by Arash Shaban-Nejad, Martin Michalowski, Simone Bianco
| Multimodal AI in Healthcare : A Paradigm Shift in Health Intelligence / / edited by Arash Shaban-Nejad, Martin Michalowski, Simone Bianco |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (417 pages) : illustrations |
| Disciplina | 610.285 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Biomedical engineering Engineering - Data processing Artificial intelligence Computational Intelligence Biomedical Engineering and Bioengineering Data Engineering Artificial Intelligence |
| ISBN | 3-031-14771-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Unsupervised Numerical Reasoning to Extract Phenotypes from Clinical Text by Leveraging External Knowledge -- Customized Training of Pretrained Language Models to Detect Post Intents in Online Health Support Groups -- EXPECT-NLP: An Integrated Pipeline and User Interface for Exploring Patient Preferences Directly from Patient-Generated Text. |
| Record Nr. | UNINA-9910632485103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Precision Health and Medicine : A Digital Revolution in Healthcare / / edited by Arash Shaban-Nejad, Martin Michalowski
| Precision Health and Medicine : A Digital Revolution in Healthcare / / edited by Arash Shaban-Nejad, Martin Michalowski |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XIX, 197 p. 84 illus., 45 illus. in color.) |
| Disciplina | 610.28563 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Artificial intelligence Medical informatics Biomedical engineering Computational Intelligence Artificial Intelligence Health Informatics Biomedical Engineering and Bioengineering |
| ISBN | 3-030-24409-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Chapter 1. From Precision Medicine to Precision Health: A Full Angle from Diagnosis to Treatment and Prevention -- Chapter 2. Constructing Accurate Confidence Intervals when Aggregating Social Media Data for Public Health Monitoring -- Chapter 3. MCA-based Rule Mining Enables Interpretable Inference in Clinical Psychiatry -- Chapter 4. Automatic Exercise Recognition with Machine Learning, etc. |
| Record Nr. | UNINA-9910483864603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Public Health Intelligence and the Internet / / edited by Arash Shaban-Nejad, John S. Brownstein, David L. Buckeridge
| Public Health Intelligence and the Internet / / edited by Arash Shaban-Nejad, John S. Brownstein, David L. Buckeridge |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XII, 148 p. 36 illus.) |
| Disciplina | 502.85 |
| Collana | Lecture Notes in Social Networks |
| Soggetto topico |
Medical informatics
Public health Mathematics Social sciences Statistics Health Informatics Public Health Mathematics in the Humanities and Social Sciences Statistics for Life Sciences, Medicine, Health Sciences |
| ISBN | 3-319-68604-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Geographical Mapping and Visual analytics for Health Data -- Social Media Analytics -- Epidemic Intelligence -- Predictive modelling and Decision support -- Biomedical Ontologies, terminologies and standard -- Bayesian Networks and Reasoning under Uncertainty -- Temporal and Spatial Representation and Reasoning -- Case-based Reasoning in Healthcare -- Crowdsourcing, and Collective Intelligence -- Risk assessment, Trust, Ethics, and Privacy -- Sentiment Analysis and Opinion Mining -- Computational Behavioral/Cognitive Modeling -- Applications in Epidemiology and Surveillance (e.g. Bioterrorism, Participatory Surveillance). |
| Record Nr. | UNINA-9910254848303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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