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The 2x2 Matrix : Contingency, Confusion and the Metrics of Binary Classification / / by A. J. Larner
| The 2x2 Matrix : Contingency, Confusion and the Metrics of Binary Classification / / by A. J. Larner |
| Autore | Larner A. J |
| Edizione | [2nd ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (262 pages) |
| Disciplina | 570.15195 |
| Collana | Medicine Series |
| Soggetto topico |
Biometry
Neurology Medical informatics Machine learning Biostatistics Health Informatics Machine Learning Biometria Neurologia Informàtica mèdica Aprenentatge automàtic |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9783031471940
3031471946 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Paired measures -- Paired complementary measures -- Unitary measures -- Number needed (reciprocal) measures and their combinations as likelihoods -- Quality (Q) measures -- Graphing methods -- Other measures, other tables -- Classification of metrics of binary classification. |
| Record Nr. | UNINA-9910799487003321 |
Larner A. J
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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The 2x2 matrix : contingency, confusion and the metrics of binary classification / / A. J. Larner
| The 2x2 matrix : contingency, confusion and the metrics of binary classification / / A. J. Larner |
| Autore | Larner A. J. |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (175 pages) |
| Disciplina | 519.56 |
| Soggetto topico |
Contingency tables
Informàtica mèdica |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9783030749200
9783030749194 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996466554203316 |
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Larner A. J.
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| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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The 2x2 Matrix : Contingency, Confusion and the Metrics of Binary Classification / / by A.J. Larner
| The 2x2 Matrix : Contingency, Confusion and the Metrics of Binary Classification / / by A.J. Larner |
| Autore | Larner A. J. |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (175 pages) |
| Disciplina |
519.56
610.285 |
| Collana | Mathematics and Statistics Series |
| Soggetto topico |
Biometry
Neurology Medical informatics Machine learning Biostatistics Health Informatics Machine Learning Informàtica mèdica |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 9783030749200 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Paired measures -- Paired complementary measures -- Unitary measures -- Reciprocal measures -- Other measures, other tables -- Outcome measures not directly related to the 2x2 table -- Index. |
| Record Nr. | UNINA-9910520073503321 |
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Larner A. J.
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Machine Learning with Evolutionary and Metaheuristic Techniques / / edited by Jayaraman Valadi, Krishna Pratap Singh, Muneendra Ojha, Patrick Siarry
| Advanced Machine Learning with Evolutionary and Metaheuristic Techniques / / edited by Jayaraman Valadi, Krishna Pratap Singh, Muneendra Ojha, Patrick Siarry |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (X, 362 p. 1 illus.) |
| Disciplina | 006.31 |
| Collana | Computational Intelligence Methods and Applications |
| Soggetto topico |
Machine learning
Medical informatics Machine Learning Health Informatics Aprenentatge automàtic Informàtica mèdica |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9789819997183
9819997186 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. From Evolution to Intelligence: Exploring the Synergy of Optimization and Machine Learning -- Chapter 2. Metaheuristic and Evolutionary Algorithms in Ex-plainable Artificial Intelligence -- Chapter 3. Evolutionary Dynamic Optimization and Machine Learning -- Chapter 4. Evolutionary Techniques in making Efficient Deep-Learning Framework: A Review -- Chapter 5. Integrating Particle Swarm Optimization with Reinforcement Learning: A Promising Approach to Optimization -- Chapter 6. Synergies between Natural Language Processing and Swarm Intelligence Optimization: A Comprehensive Overview -- Chapter 7. Heuristics-based Hyperparameter Tuning for Transfer Learning Algorithms -- Chapter 8. Machine Learning Applications of Evolutionary and Metaheuristic Algorithms -- Chapter 9. Machine Learning Assisted Metaheuristic Based Optimization of Mixed Suspension Mixed Product Removal Process -- Chapter 10. Machine Learning based Intelligent RPL Attack Detection System for IoT Networks -- Chapter 11. Shallow and Deep Evolutionary Neural Networks applications in Solid Mechanics -- Chapter 12. Polymer and nanocomposite Informatics: Recent Applications of Artificial Intelligence and Data Repositories -- Chapter 13. Synergistic combination of machine learning and evolutionary and heuristic algorithms for handling imbalance in biological and biomedical datasets. |
| Record Nr. | UNINA-9910851981503321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Prognostic Predictive Modelling in Healthcare Data Analytics / / edited by Sudipta Roy, Lalit Mohan Goyal, Mamta Mittal
| Advanced Prognostic Predictive Modelling in Healthcare Data Analytics / / edited by Sudipta Roy, Lalit Mohan Goyal, Mamta Mittal |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (317 pages) |
| Disciplina | 610.28563 |
| Collana | Lecture Notes on Data Engineering and Communications Technologies |
| Soggetto topico |
Computational intelligence
Artificial intelligence Quantitative research Medical informatics Computer simulation Computational Intelligence Artificial Intelligence Data Analysis and Big Data Health Informatics Computer Modelling Pronòstic mèdic Simulació per ordinador Intel·ligència artificial en medicina Informàtica mèdica Mineria de dades |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 981-16-0538-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Data visualization in the transformation of healthcare industries -- Emerging Healthcare Problems in High Dimensional Data and Dimension Reduction -- Disease Prediction Using Data Mining and Machine Learning Techniques -- Prognostic modeling with the internet of Healthcare things applications -- Cancer Tissue Segmentation in Various Conditions with Semiautomatic and Automatic Approach -- Early Screening of COVID-19 from Chest CT using Deep Learning Technique -- Clinical Decision-Making and Predicting Patient Trajectories. |
| Record Nr. | UNINA-9910483684603321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Intelligent Computing and Communication : Proceedings of ICAC 2020 / / edited by Swagatam Das, Mihir Narayan Mohanty
| Advances in Intelligent Computing and Communication : Proceedings of ICAC 2020 / / edited by Swagatam Das, Mihir Narayan Mohanty |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (713 pages) : illustrations (chiefly color) |
| Disciplina | 621.382 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Artificial intelligence Telecommunication Electric power production Computational Intelligence Artificial Intelligence Communications Engineering, Networks Electrical Power Engineering Processament digital d'imatges Intel·ligència artificial en medicina Informàtica mèdica COVID-19 |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 981-16-0695-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1.Classification and Detection of Leaves using Different Image processing Techniques -- Chapter 2. Covid-19 Detection :An Approach Using X-Ray Images and Deep Learning Techniques -- Chapter 3. Covid-19 Detection :An Approach Using X-Ray Images and Deep Learning Techniques -- Chapter 4. Realization of a vehicular robotic system using the principle of photonics -- Chapter 5. A Modified Hybrid Planar Antenna for Cognitive Radio Application -- Chapter 6. Detection of Broken and Good Medical Tablets Using Various Machine Learning Models -- Chapter 7. Lungs Nodule Prediction using Convolutional Neural Network and K-Nearest Neighbor -- Chapter 8. Quantitative Structure Activity Relationships (QSARs) Study for KCNQ Genes(Kv7) and Drug discovery -- Chapter 9. Apple fruit disease detection and classification using k-means clustering method -- Chapter 10. A Detailed Review of the Optimal Distributed Generation Placement in Smart Power Distribution Systems. |
| Record Nr. | UNINA-9910483988903321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial Intelligence and Machine Learning in Health Care and Medical Sciences : Best Practices and Pitfalls / / edited by Gyorgy J. Simon, Constantin Aliferis
| Artificial Intelligence and Machine Learning in Health Care and Medical Sciences : Best Practices and Pitfalls / / edited by Gyorgy J. Simon, Constantin Aliferis |
| Autore | Simon Gyorgy J |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2024 |
| Descrizione fisica | 1 online resource (XXVI, 810 p. 146 illus., 130 illus. in color.) |
| Disciplina | 610.285 |
| Collana | Health Informatics |
| Soggetto topico |
Medical informatics
Medical care Bioinformatics Public health Health Informatics Health Care Public Health Intel·ligència artificial Aprenentatge automàtic Informàtica mèdica |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9783031393556
3031393554 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Predictive Analytics -- Machine Learning -- Artificial Intelligence -- Data Mining -- Clinical Risk Models -- Clinical Risk Stratification -- Data Science -- Causal Discovery -- Causal Inference -- Causal Discovery in Health Sciences -- Causal Inference In Health Sciences -- Ehr Data Analytics -- Medical Knowledge Discovery -- Biomedical Machine Learning -- Biomedical Artificial Intelligence -- Healthcare Machine Learning -- Healthcare Artificial Intelligence -- Translational Science Machine Learning -- Machine Learning for Biological Discovery -- Machine Learning in Bioinformatics -- Machine Learning in Genomics. |
| Record Nr. | UNINA-9910842027903321 |
| Simon Gyorgy J | ||
| Cham, : Springer Nature, 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial Intelligence in Covid-19 / / edited by Niklas Lidströmer, Yonina C. Eldar
| Artificial Intelligence in Covid-19 / / edited by Niklas Lidströmer, Yonina C. Eldar |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (346 pages) |
| Disciplina |
362.1962414
362.19624140028563 |
| Collana | Medicine Series |
| Soggetto topico |
Medicine
Artificial intelligence Virology Immunology Epidemiology Clinical Medicine Artificial Intelligence COVID-19 Epidèmies Processament de dades Informàtica mèdica |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-031-08506-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1 AI and Pooling Tests for COVID-19 -- 2 AI for Drug Repurposing in the Pandemic Response -- 3 AI and Point Of Care Image Analysis For COVID-19 -- 4 Machine Learning and Laboratory Values in the Diagnosis, Prognosis and Vaccination Strategy of COVID-19 -- 5 AI and the Infectious Medicine of COVID-19 -- 6 AI and ICU Monitoring in COVID-19 -- 7 Symptom Based Detection Models of COVID-19 Infection Using AI -- 8 AI Techniques for Forecasting Epidemic Dynamics: Theory and Practice -- 9 Regulatory Aspects on AI and Pharmacovigilance for COVID-19 -- 10 AI and the Clinical Immunology / Immunoinformatics for COVID-19 -- 11 AI, Epidemiology and Public Health in the Covid Pandemic -- 12 AI and Dynamic Sepsis Prediction in Covid-19. |
| Record Nr. | UNINA-9910624309003321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis / / edited by Subhendu Kumar Pani, Sujata Dash, Wellington P. dos Santos, Syed Ahmad Chan Bukhari, Francesco Flammini
| Assessing COVID-19 and Other Pandemics and Epidemics using Computational Modelling and Data Analysis / / edited by Subhendu Kumar Pani, Sujata Dash, Wellington P. dos Santos, Syed Ahmad Chan Bukhari, Francesco Flammini |
| Autore | Hooper <1981-> |
| Edizione | [1st ed.. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (416 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) | Jane |
| Collana | Computer Science Series |
| Soggetto topico |
Artificial intelligence
Quantitative research Cooperating objects (Computer systems) Internet of things Public health Diseases - Animal models Artificial Intelligence Data Analysis and Big Data Cyber-Physical Systems Internet of Things Public Health Disease Models Pandèmia de COVID-19, 2020-2023 Informàtica mèdica Processament de dades |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-79753-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1 Artificial Intelligence (AI) and Big Data Analytics for COVID-19 Pandemic -- Chapter 2 COVID-19 TravelCover Post-lockdown Smart Transportation Management System for COVID-19 -- Chapter 3 Diverse techniques applied for effective diagnosis of COVID 19 -- Chapter 4 A Review on Detection of Covid-19 Patients using Deep Learning Techniques.-Chapter 5 Internet of Health Things (IoHT) for COVID 19 -- Chapter 6 Diagnosis for COVID-19 -- Chapter 7 IoT in Combating Covid 19 Pandemics Lessons for Developing Countries -- Chapter 8 Machine learning approaches for COVID 19 pandemic -- Chapter 9 Smart sensing for COVID 19 Pandemic -- Chapter 10 eHealth, mHealth and Telemedicine for COVID-19 pandemic -- Chapter 11 Prediction of care for patients in a Covid-19 pandemic situation based on haematological parameters -- Chapter 12 Bioinformatics in Diagnosis of Covid-19 -- Chapter 13 Predicting the Covid-19 Morbidity Outspread and Mortality Using Deep Learning Techniques -- Chapter 14 LSTM -CNN Deep learning Based Hybrid system for real time COVID-19 data analysis and prediction using Twitter data -- Chapter 15 An intelligent tool to support diagnosis of Covid-19 by texture analysis of computerized tomography x-ray images and machine learning -- Chapter 16 Analysis of Blockchain Backed Covid19 Data -- Chapter 17 Intelligent systems for dengue, chikungunya and zika temporal and spatio-temporal forecasting a contribution and a brief review -- Chapter 18 Machine learning approaches for temporal and spatio-temporal Covid-19 forecasting a brief review and a contribution -- Chapter 19 Image Reconstruction for COVID-19 using Multi-frequency Electrical Impedance Tomography. |
| Record Nr. | UNINA-9910522955603321 |
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Hooper <1981->
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Association Analysis Techniques and Applications in Bioinformatics / / by Qingfeng Chen
| Association Analysis Techniques and Applications in Bioinformatics / / by Qingfeng Chen |
| Autore | Chen Qingfeng |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (396 pages) |
| Disciplina | 570.285 |
| Soggetto topico |
Data mining
Expert systems (Computer science) Machine learning Bioinformatics Big data Medical informatics Data Mining and Knowledge Discovery Knowledge Based Systems Machine Learning Computational and Systems Biology Big Data Health Informatics Bioinformàtica Aprenentatge automàtic Sistemes experts (Informàtica) Informàtica mèdica Mineria de dades Dades massives |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 9789819982516 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter1:Computer science for Molecular biology -- Chapter2:Introduction to association analysis -- Chapter3:Introduction to computational linguistics and biology structure -- Chapter4:Matrix decomposition for dimensionality deduction -- Chapter5:Discovering conserved RNA secondary structures with structure similarity -- Chapter6:Gene ontology for non-coding RNAs classification -- Chapter7:Learning frequent sub-structure by graph mining -- Chapter8:Editing distance and its application to biology graph analytics -- Chapter9:Sequence assembly and applications -- Chapter10:Classifying protein structures by measuring structural similarity -- Chapter11:Identification of metabolic pathways with embedding network -- Chapter12:Emerging Knowledge integration-based approach with multi-sources data for bioinformatics -- Chapter13:Conclusion and Future Work. |
| Record Nr. | UNINA-9910855365003321 |
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Chen Qingfeng
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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