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Differential equation analysis in biomedical science and engineering : ordinary differential equation applications with R / / William E. Schiesser
| Differential equation analysis in biomedical science and engineering : ordinary differential equation applications with R / / William E. Schiesser |
| Autore | Schiesser W. E. |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2014 |
| Descrizione fisica | 1 online resource (439 p.) |
| Disciplina | 610.280285 |
| Soggetto topico |
Biomedical engineering - Mathematics
Biomathematics Bioreactors - Data processing Differential equations |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-118-70523-8
1-118-70507-6 1-118-70539-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction to ordinary differential equation analysis bioreactor dynamics -- Diabetes glucose tolerance test -- Apoptosis (programmed cell death) -- Dynamic neuron model -- Stem cell dfferentiation -- Acetylcholine neurocycle -- Tuberculosis with dfferential infectivity -- Corneal curvature -- Stiff ode integration. |
| Record Nr. | UNISA-996211739203316 |
Schiesser W. E.
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| Hoboken, New Jersey : , : Wiley, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Differential equation analysis in biomedical science and engineering : ordinary differential equation applications with R / / William E. Schiesser
| Differential equation analysis in biomedical science and engineering : ordinary differential equation applications with R / / William E. Schiesser |
| Autore | Schiesser W. E. |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2014 |
| Descrizione fisica | 1 online resource (439 p.) |
| Disciplina | 610.280285 |
| Soggetto topico |
Biomedical engineering - Mathematics
Biomathematics Bioreactors - Data processing Differential equations |
| ISBN |
1-118-70523-8
1-118-70507-6 1-118-70539-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction to ordinary differential equation analysis bioreactor dynamics -- Diabetes glucose tolerance test -- Apoptosis (programmed cell death) -- Dynamic neuron model -- Stem cell dfferentiation -- Acetylcholine neurocycle -- Tuberculosis with dfferential infectivity -- Corneal curvature -- Stiff ode integration. |
| Record Nr. | UNINA-9910140288103321 |
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Schiesser W. E.
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| Hoboken, New Jersey : , : Wiley, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Differential equation analysis in biomedical science and engineering : ordinary differential equation applications with R / / William E. Schiesser
| Differential equation analysis in biomedical science and engineering : ordinary differential equation applications with R / / William E. Schiesser |
| Autore | Schiesser W. E. |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2014 |
| Descrizione fisica | 1 online resource (439 p.) |
| Disciplina | 610.280285 |
| Soggetto topico |
Biomedical engineering - Mathematics
Biomathematics Bioreactors - Data processing Differential equations |
| ISBN |
1-118-70523-8
1-118-70507-6 1-118-70539-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction to ordinary differential equation analysis bioreactor dynamics -- Diabetes glucose tolerance test -- Apoptosis (programmed cell death) -- Dynamic neuron model -- Stem cell dfferentiation -- Acetylcholine neurocycle -- Tuberculosis with dfferential infectivity -- Corneal curvature -- Stiff ode integration. |
| Record Nr. | UNINA-9910814719303321 |
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Schiesser W. E.
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| Hoboken, New Jersey : , : Wiley, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Intelligent multidimensional data clustering and analysis / / Siddhartha Bhattacharyya, Sourav De, Indrajit Pan, and Paramartha Dutta, editors
| Intelligent multidimensional data clustering and analysis / / Siddhartha Bhattacharyya, Sourav De, Indrajit Pan, and Paramartha Dutta, editors |
| Pubbl/distr/stampa | Hershey, PA : , : Information Science Reference, , [2017] |
| Descrizione fisica | PDFs (450 pages) : illustrations |
| Disciplina | 519.5/3 |
| Collana | Advances in data mining and database management (ADMDM) book series |
| Soggetto topico |
Cluster analysis
Image processing - Mathematics Biomedical engineering - Mathematics |
| Soggetto non controllato |
Bioinformatics
Computer system design Healthcare applications Hybrid soft computing Image analysis Microarray spot segmentation Wireless sensor networks |
| ISBN | 1-5225-1777-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A physical design strategy for datasets with multiple dimensions / Marlene Goncalves, José N. Mendoza -- Data clustering / Bülent Basaran, Fatih Günes -- Association rules-based analysis in multidimensional clusters / Neelu Khare, Dharmendra S. Rajput, Preethi D -- Data clustering and various clustering approaches / Shashi Mehrotra, Shruti Kohli -- Dealing with higher dimensionality and outliers in content-based image retrieval / Seikh Mazharul Islam, Minakshi Banerjee, Siddhartha Bhattacharyya -- For better healthcare mining health data / Güney Gürsel -- Adaptive edge detection method towards features extraction from diverse medical imaging technologies / Indra Kanta Maitra, Samir Kumar Bandhyopadhyaay -- Graph theoretic approaches for image analysis / Biplab Banerjee, Sudipan Saha, Krishna Mohan Buddhiraju -- Utilizing architecture aspects for in data mining for computer system design / Chantana Chantrapornchai [and 4 others] -- On the implementation of a digital image watermarking framework using saliency and phase congruency / Abhishek Basu, Susmita Talukdar -- A hybrid system based on FMM and MLP to diagnose heart disease / Swati Aggarwal, Venu Azad -- A combinational fuzzy clustering approach for microarray spot segmentation / Ong Pauline, Zarita Zainuddin -- Proficient clustering algorithm for wireless sensor networks / Nivetha Gopal, Venkatalakshmi Krishnan -- A study on hybridization of intelligent techniques in bioinformatics / Peyakunta Bhargavi, S. Jyothi, D. M. Mamatha -- Adaptive clustering techniques and their applications / Deepthi P. Hudedagaddi, B. K. Tripathy. |
| Record Nr. | UNINA-9910154879703321 |
| Hershey, PA : , : Information Science Reference, , [2017] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Mathematical methods in scattering theory and biomedical engineering [[electronic resource] ] : proceedings of the 7th International Workshop, Nymphaio, Greece, 8-11 September 2005 / / editors, Dimitrois I. Fotiadis, Christos V. Massalas
| Mathematical methods in scattering theory and biomedical engineering [[electronic resource] ] : proceedings of the 7th International Workshop, Nymphaio, Greece, 8-11 September 2005 / / editors, Dimitrois I. Fotiadis, Christos V. Massalas |
| Pubbl/distr/stampa | Singapore ; ; Hackensack, NJ, : World Scientific, 2006 |
| Descrizione fisica | xi, 440 p. : ill |
| Disciplina | 610.28 |
| Altri autori (Persone) |
FotiadisDimitrios Ioannou
MassalasChristos |
| Soggetto topico |
Biomedical engineering - Mathematics
Scattering (Mathematics) |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-281-92460-1
9786611924607 981-277-319-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Method to Solve Inverse Scattering Problems for Electromagnetic Fields in Chiral Media (C Athanasiadis & E Kardasi); Nonlinear Integral Equations in Inverse Obstacle Scattering (O Ivanyshyn & R Kres); Homogenization in Chiral Elasticity (G Barbatis & I G Stratis); Shape Control and Damage Identification of Piezoelectric Smart Beams Using Finite Element Modelling and Genetic Optimization (E P Hadjigeorgiou et al.); A Fast Numerical Method for a Simplified Phase Field Model (C A Sfyrakis & V A Dougalis); On the Hidden Electromagnetic Activity of the Brain (G Dassios); A Decision Tree Based Approach for the Identification of Ischaemic Beats in ECG Recordings (T P Exarchos et al.); An Automatic Microcalcification Detection System Utilizing Mammorgraphic Enhancement Techniques (A N Papadopoulos & D I Fotiadis); Multidimensional Cardiac Models (D G Tsalikakis et al.); Mobile and Electronic Medical Support and Education for Dyslexic Students (M Virvou & E Alepis); and other papers. |
| Record Nr. | UNINA-9910450770303321 |
| Singapore ; ; Hackensack, NJ, : World Scientific, 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Mathematical methods in scattering theory and biomedical engineering [[electronic resource] ] : proceedings of the 7th International Workshop, Nymphaio, Greece, 8-11 September 2005 / / editors, Dimitrois I. Fotiadis, Christos V. Massalas
| Mathematical methods in scattering theory and biomedical engineering [[electronic resource] ] : proceedings of the 7th International Workshop, Nymphaio, Greece, 8-11 September 2005 / / editors, Dimitrois I. Fotiadis, Christos V. Massalas |
| Pubbl/distr/stampa | Singapore ; ; Hackensack, NJ, : World Scientific, 2006 |
| Descrizione fisica | xi, 440 p. : ill |
| Disciplina | 610.28 |
| Altri autori (Persone) |
FotiadisDimitrios Ioannou
MassalasChristos |
| Soggetto topico |
Biomedical engineering - Mathematics
Scattering (Mathematics) |
| ISBN |
1-281-92460-1
9786611924607 981-277-319-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Method to Solve Inverse Scattering Problems for Electromagnetic Fields in Chiral Media (C Athanasiadis & E Kardasi); Nonlinear Integral Equations in Inverse Obstacle Scattering (O Ivanyshyn & R Kres); Homogenization in Chiral Elasticity (G Barbatis & I G Stratis); Shape Control and Damage Identification of Piezoelectric Smart Beams Using Finite Element Modelling and Genetic Optimization (E P Hadjigeorgiou et al.); A Fast Numerical Method for a Simplified Phase Field Model (C A Sfyrakis & V A Dougalis); On the Hidden Electromagnetic Activity of the Brain (G Dassios); A Decision Tree Based Approach for the Identification of Ischaemic Beats in ECG Recordings (T P Exarchos et al.); An Automatic Microcalcification Detection System Utilizing Mammorgraphic Enhancement Techniques (A N Papadopoulos & D I Fotiadis); Multidimensional Cardiac Models (D G Tsalikakis et al.); Mobile and Electronic Medical Support and Education for Dyslexic Students (M Virvou & E Alepis); and other papers. |
| Record Nr. | UNINA-9910777042603321 |
| Singapore ; ; Hackensack, NJ, : World Scientific, 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Mathematical methods in scattering theory and biomedical engineering [[electronic resource] ] : proceedings of the 7th International Workshop, Nymphaio, Greece, 8-11 September 2005 / / editors, Dimitrois I. Fotiadis, Christos V. Massalas
| Mathematical methods in scattering theory and biomedical engineering [[electronic resource] ] : proceedings of the 7th International Workshop, Nymphaio, Greece, 8-11 September 2005 / / editors, Dimitrois I. Fotiadis, Christos V. Massalas |
| Pubbl/distr/stampa | Singapore ; ; Hackensack, NJ, : World Scientific, 2006 |
| Descrizione fisica | xi, 440 p. : ill |
| Disciplina | 610.28 |
| Altri autori (Persone) |
FotiadisDimitrios Ioannou
MassalasChristos |
| Soggetto topico |
Biomedical engineering - Mathematics
Scattering (Mathematics) |
| ISBN |
1-281-92460-1
9786611924607 981-277-319-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Method to Solve Inverse Scattering Problems for Electromagnetic Fields in Chiral Media (C Athanasiadis & E Kardasi); Nonlinear Integral Equations in Inverse Obstacle Scattering (O Ivanyshyn & R Kres); Homogenization in Chiral Elasticity (G Barbatis & I G Stratis); Shape Control and Damage Identification of Piezoelectric Smart Beams Using Finite Element Modelling and Genetic Optimization (E P Hadjigeorgiou et al.); A Fast Numerical Method for a Simplified Phase Field Model (C A Sfyrakis & V A Dougalis); On the Hidden Electromagnetic Activity of the Brain (G Dassios); A Decision Tree Based Approach for the Identification of Ischaemic Beats in ECG Recordings (T P Exarchos et al.); An Automatic Microcalcification Detection System Utilizing Mammorgraphic Enhancement Techniques (A N Papadopoulos & D I Fotiadis); Multidimensional Cardiac Models (D G Tsalikakis et al.); Mobile and Electronic Medical Support and Education for Dyslexic Students (M Virvou & E Alepis); and other papers. |
| Record Nr. | UNINA-9910822228803321 |
| Singapore ; ; Hackensack, NJ, : World Scientific, 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Multiscale Modelling in Biomedical Engineering / / Antonis I. Sakellarios, Vassiliki T. Potsika, and Dimitrios I. Fotiadis
| Multiscale Modelling in Biomedical Engineering / / Antonis I. Sakellarios, Vassiliki T. Potsika, and Dimitrios I. Fotiadis |
| Autore | Sakellarios Antonis I. |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2023] |
| Descrizione fisica | 1 online resource (402 pages) |
| Disciplina | 610.28 |
| Collana | IEEE Press Series on Biomedical Engineering Series |
| Soggetto topico |
Biomedical engineering - Mathematical models
Biomedical engineering - Computer simulation Biomedical engineering - Mathematics |
| ISBN |
1-119-81902-4
1-119-51730-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright Page -- Contents -- Author Biographies -- Preface -- List of Abbreviations -- List of Terms -- Chapter 1 Systems Biology and Multiscale Modeling -- 1.1 Introduction -- 1.2 Systems Biology -- 1.3 Systems Biology Modeling Goals -- 1.4 Systems Biology Modeling Approach -- 1.5 Application of Multiscale Methods in Systems Biology -- 1.5.1 Introduction -- 1.6 The Use of Systems Biology and Multiscale Modeling in Biomedical and Medical Science -- 1.7 Application of Computational Methods in Biomedical Engineering -- 1.7.1 Fundamental Principles -- 1.7.2 Finite Element Method -- 1.7.3 Boundary Element Method -- 1.7.4 Finite Differences Method -- 1.8 Challenges -- References -- Chapter 2 Biomedical Imaging -- 2.1 Introduction -- 2.2 X-ray Radiography -- 2.2.1 X-ray Interaction with Tissues -- 2.2.2 Medical Applications of X-rays -- 2.3 Computed Tomography -- 2.3.1 The Principle of CT Imaging -- 2.3.2 The Evolution of CT Scanners -- 2.3.3 Medical Applications of CT Imaging -- 2.3.3.1 Application of CT Imaging in Cancer -- 2.3.3.2 Application of CT Imaging in Lungs -- 2.3.3.3 Application of CT Imaging in Cardiovascular Disease -- 2.3.3.4 Application of CT Imaging in Other Fields -- 2.3.4 Radiation of CT Imaging -- 2.4 Diagnostic Ultrasound -- 2.4.1 The Principle of US -- 2.4.2 Medical Applications of US -- 2.5 Magnetic Resonance Imaging -- 2.5.1 MRI Principle -- 2.5.2 Medical Applications of MRI -- 2.6 Positron Emission Tomography (PET) -- 2.6.1 The Principle of PET -- 2.6.2 Medical Applications of PET -- 2.7 Single Photon Emission Computed Tomography -- 2.7.1 The Principle of SPECT -- 2.7.2 Medical Applications of SPECT -- 2.8 Endoscopy -- 2.8.1 Medical Applications of Endoscopy -- 2.9 Elastography -- 2.9.1 Elastographic Techniques -- 2.9.2 Elastographic Medical Applications -- 2.10 Conclusions and Future Trends.
References -- Chapter 3 Computational Modeling at Molecular Level -- 3.1 Introduction -- 3.2 Introduction to Molecular Mechanics -- 3.2.1 Chemical Formulas -- 3.2.2 Molecular Structure and Polarity -- 3.2.2.1 Mathematical Modeling of Polarizing Biochemical Systems -- 3.3 Molecular Bioengineering in Areas Critical to Human Health -- 3.3.1 Cell Biology -- 3.3.1.1 Biology of Growth Factor Systems -- 3.3.2 Diagnostic Medicine -- 3.3.2.1 Lab-on-a-Chip Devices -- 3.3.2.2 Biosensors -- 3.3.3 Preventive Medicine -- 3.3.4 Therapeutic Medicine -- 3.3.4.1 Drug Delivery -- 3.3.4.2 Tissue Engineering -- References -- Chapter 4 Computational Modeling at Cell Level -- 4.1 Introduction -- 4.2 Introduction to Cell Mechanics -- 4.2.1 Cell Material Properties -- 4.2.2 Cell Composition and Structure -- 4.3 Cellular Bioengineering in Areas Critical to Human Health -- 4.3.1 Biology -- 4.3.2 Diagnostic Medicine -- 4.3.2.1 Organ Chip Technology -- 4.3.2.2 Mechanosensors -- 4.3.3 Therapeutic Medicine -- 4.3.3.1 Drug Delivery -- 4.3.3.2 Tissue Engineering -- 4.3.4 P4 Medicine -- References -- Chapter 5 Computational Modeling at Tissue Level -- 5.1 Introduction -- 5.2 Epithelial Tissue -- 5.2.1 Composition and Properties of Epithelial Tissue -- 5.2.2 Computational Modeling of Epithelial Tissue -- 5.3 Connective Tissue -- 5.3.1 Composition and Properties of Connective Tissue -- 5.3.2 Computational Modeling of Connective Tissue -- 5.4 Muscle Tissue -- 5.4.1 Composition and Properties of Muscle Tissue -- 5.4.2 Computational Modeling of Muscle Tissue -- 5.4.2.1 Computational Modeling of Skeletal Muscle Tissue -- 5.4.2.2 Computational Modeling of Smooth Muscle Tissue -- 5.4.2.3 Computational Modeling of Cardiac Muscle Tissue -- 5.4.2.4 Musculotendon Models -- 5.5 Nervous Tissue -- 5.5.1 Computational Modeling of Brain Tissue -- 5.5.2 Computational Modeling of the Spinal Cord Tissue. 5.5.3 Computational Modeling of Peripheral Nerves -- 5.6 Conclusion -- References -- Chapter 6 Macroscale Modeling at the Organ Level -- 6.1 Introduction -- 6.2 The Respiratory System -- 6.2.1 Computational Modeling of the Respiratory System -- 6.3 The Digestive System -- 6.3.1 Computational Modeling of the Digestive System -- 6.4 The Cardiovascular System -- 6.4.1 Computational Modeling of the Cardiovascular System -- 6.5 The Urinary System -- 6.5.1 Computational Modeling of the Urinary System -- 6.6 The Integumentary System -- 6.6.1 Computational Modeling of the Integumentary System -- 6.7 The Musculoskeletal System -- 6.7.1 Introduction to the Skeletal System -- 6.7.2 Introduction to the Muscular System -- 6.7.3 Computational Modeling of the Muscular-Skeletal System -- 6.8 The Endocrine System -- 6.8.1 Computational Modeling of the Endocrine System -- 6.9 The Lymphatic System -- 6.9.1 Computational Modeling of the Lymphatic System -- 6.10 The Nervous System -- 6.10.1 Computational Modeling of the Nervous System -- 6.11 The Reproductive System -- 6.11.1 Computational Modeling of the Reproductive System -- 6.12 Conclusion -- References -- Chapter 7 Mechanotransduction Perspective, Recent Progress and Future Challenges -- 7.1 Introduction -- 7.2 Methods for Studying Mechanotransduction -- 7.2.1 How Mechanical Forces Are Detected -- 7.2.2 Transmission of Mechanical Forces -- 7.2.3 Conversion of Mechanical Forces to Signals -- 7.3 Mathematical Models of Mechanotransduction -- 7.3.1 ODE Based Computational Model -- 7.3.2 PDE Based Computational Model -- 7.3.2.1 Mechanical Factors that Affect Cell Differentiation and Proliferation -- 7.3.2.2 A Case Example of Multi-Scale Modeling Cell Differentiation and Proliferation -- 7.3.3 Methodology of a Hybrid Multi-Scale Approach -- 7.3.3.1 The Agent-Based Model (ABM) -- 7.3.3.2 Mechanical Model -- 7.4 Challenges. References -- Chapter 8 Multiscale Modeling of the Musculoskeletal System -- 8.1 Introduction -- 8.2 Structure of the Musculoskeletal System -- 8.2.1 Structure of the Skeletal System Components -- 8.2.2 Structure of the Muscular System Components -- 8.3 Elasticity -- 8.4 Mechanical Characteristics of Muscles -- 8.5 Multiscale Modeling Approaches of the Musculoskeletal System -- 8.5.1 Multiscale Modeling of Bones -- 8.5.2 Multiscale Modeling of Articular Cartilage -- 8.5.3 Multiscale Modeling of Tendons and Ligaments -- 8.5.3.1 Advances in Multiscale Modeling of Tendons -- 8.5.3.2 Advances in Multiscale Modeling of Ligaments -- 8.5.4 Multiscale Modeling of the Skeletal Muscle -- 8.5.5 Multiscale Modeling of the Smooth Muscle -- 8.6 Conclusion -- References -- Chapter 9 Multiscale Modeling of Cardiovascular System -- 9.1 Introduction -- 9.2 Cardiovascular Mechanics -- 9.2.1 Visualization of the Cardiovascular System and 3D Arterial Reconstruction -- 9.2.2 Blood Flow Modeling -- 9.2.2.1 Steady and Pulsatile Flow of Blood -- 9.2.2.2 Computational Fluid Dynamics Modeling -- 9.2.2.3 Newtonian and Non-Newtonian Behavior of Blood -- 9.2.3 Plaque Growth Modeling -- 9.2.4 Agent-Based Modeling -- 9.2.4.1 Key Components of Agent-Based Modelling -- 9.2.4.2 Agent-Based Modelling and Simulation Approach -- 9.2.4.3 Problem Definition -- 9.2.4.4 ABM Applications in Cardiovascular Systems -- 9.2.5 Discrete Particle Dynamics -- 9.2.6 Multiscale Model of Drug Delivery/Restenosis -- 9.2.6.1 Benefits of Multiscale Model of Drug Delivery/Restenosis -- 9.3 Conclusions -- References -- Chapter 10 Risk Prediction -- 10.1 Introduction -- 10.2 Medical Data Preprocessing -- 10.2.1 Data Sharing -- 10.2.2 Data Harmonization -- 10.3 Machine Learning and Data Mining -- 10.3.1 Supervised Learning Algorithms -- 10.3.1.1 Regression Analysis -- 10.3.1.2 Support Vector Machines. 10.3.1.3 Naïve Bayes -- 10.3.1.4 Decision Trees -- 10.3.1.5 Ensemble Classifiers -- 10.3.1.6 Artificial Neural Networks -- 10.3.1.7 K-Means -- 10.3.1.8 Spectral Clustering -- 10.3.1.9 Hierarchical Clustering -- 10.4 Explainable Machine Learning -- 10.4.1 Transparency -- 10.4.2 Evaluation and Types of Explanation -- 10.5 Example of Predictive Models in Cardiovascular Disease -- 10.6 Conclusion -- References -- Chapter 11 Future Trends -- 11.1 Virtual Populations -- 11.1.1 Methods for Virtual Population Generation -- 11.1.2 A Methodological Approach for a Virtual Population -- 11.1.2.1 Multivariate Log-Normal Distribution (log-MVND) -- 11.1.2.2 Supervised Tree Ensembles -- 11.1.2.3 Unsupervised Tree Ensembles -- 11.1.2.4 Radial Basis Function-Based Artificial Neural Networks -- 11.1.2.5 Bayesian Networks -- 11.1.2.6 Performance Evaluation of the Quality of the Generated Virtual Patient Data -- 11.1.3 A Novel Approach for a Virtual Population Combining Multiscale Modeling -- 11.2 Digital Twins -- 11.2.1 Ecosystem of the Digital Twin for Health -- 11.2.2 An Example Workflow of a Digital Twin -- 11.3 Integrating Multiscale Modeling and Machine Learning -- 11.3.1 Physics-Informed NN (PINN) -- 11.3.2 Deep NN Algorithms Inspired by Statistical Physics and Information Theory -- 11.4 Conclusion and Future Trends -- References -- Index -- EULA. |
| Record Nr. | UNINA-9910830080803321 |
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Sakellarios Antonis I.
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| Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Numerical methods in biomedical engineering [[electronic resource] /] / Stanley M. Dunn, Alkis Constantinides, Prabhas V. Moghe
| Numerical methods in biomedical engineering [[electronic resource] /] / Stanley M. Dunn, Alkis Constantinides, Prabhas V. Moghe |
| Pubbl/distr/stampa | Amsterdam ; ; Boston, : Elsevier Academic Press, c2006 |
| Descrizione fisica | 1 online resource (628 p.) |
| Disciplina | 610/.28 |
| Altri autori (Persone) |
DunnStanley Martin
ConstantinidesA MoghePrabhas V |
| Collana | Academic Press series in biomedical engineering |
| Soggetto topico |
Biomedical engineering - Mathematics
Biomedical engineering - Mathematical models |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-280-96128-7
9786610961283 0-08-047080-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front cover; Title page; Copyright page; Table of contents; Preface; Organization and Outline of the Book; Part I: Fundamentals; Chapter 1 Modeling Biosystems; 1.1 Biomedical Engineering; 1.2 Fundamental Aspects of Biomedical Engineering; 1.3 Constructing Engineering Models; 1.3.1 A framework for problem solving; 1.3.2 Formulating the mathematical expression of conservation; 1.3.3 Using balance equations; 1.4 Examples of Solving Biomedical Engineering Models by Computer; 1.4.1 Modeling rtPCR efficiency; 1.4.2 Modeling transcranial magnetic stimulation; 1.4.3 Modeling cardiac electrophysiology
1.4.4 Using numerical methods to model the response of the cardiovascular system to gravity1.5 Overview of the Text; 1.5.1 Part I: Fundamentals; 1.5.2 Part II: Steady-state behavior (algebraic models); 1.5.3 Part III: Dynamic behavior (differential equations); 1.5.4 Part IV: Modeling tools and applications; 1.6 Lessons Learned in this Chapter; 1.7 Problems; 1.8 References; Chapter 2 Introduction to Computing; 2.1 Introduction; 2.2 The Role of Computers in Biomedical Engineering; 2.3 Programming Language Tools and Techniques; 2.3.1 Sequences of statements; 2.3.2 Conditional execution 2.3.3 Iteration2.3.4 Encapsulation; 2.4 Fundamentals of Data Structures for MATLAB; 2.4.1 Number representation; 2.4.2 Arrays; 2.4.3 Characters and strings; 2.4.4 Logical or Boolean data types; 2.4.5 Cells and cell arrays; 2.4.6 Data structures not explicitly found in MATLAB; 2.4.7 Data type conversion; 2.5 An Introduction to Object-Oriented Systems; 2.6 Analyzing Algorithms and Programs; 2.6.1 Polynomial complexity; 2.6.2 Operation counting; 2.7 Lessons Learned in this Chapter; 2.8 Problems; Chapter 3 Concepts of Numerical Analysis; 3.1 Scientific Computing 3.2 Numerical Algorithms and Errors3.3 Taylor Series; 3.4 Keeping Errors Small; 3.5 Floating-Point Representation in MATLAB; 3.5.1 The IEEE 754 standard for floating-point representation; 3.5.2 Floating-point arithmetic, truncation, and rounding; 3.5.3 Roundoff error accumulation and cancellation error; 3.6 Lessons Learned in this Chapter; 3.7 Problems; 3.8 References; Part II: Steady-State Behavior; Chapter 4 Linear Models of Biological Systems; 4.1 Introduction; 4.2 Examples of Linear Biological Systems; 4.2.1 Force balance in biomechanics; 4.2.2 Biomedical imaging and image processing 5.3 Examples of Nonlinear Equations in Biomedical Engineering |
| Record Nr. | UNINA-9910458726803321 |
| Amsterdam ; ; Boston, : Elsevier Academic Press, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Numerical methods in biomedical engineering [e-book] / Stanley M. Dunn, Alkis Constantinides, Prabhas V. Moghe
| Numerical methods in biomedical engineering [e-book] / Stanley M. Dunn, Alkis Constantinides, Prabhas V. Moghe |
| Pubbl/distr/stampa | Amsterdam ; Boston : Elsevier Academic Press, c2006 |
| Descrizione fisica | xviii, 615 p. : ill. ; 24 cm |
| Disciplina | 610.28 |
| Altri autori (Persone) |
Dunn, Stanley Martin
Constantinides, Alkisauthor Moghe, Prabhas V. |
| Collana | Academic Press series in biomedical engineering |
| Soggetto topico |
Biomedical engineering - Mathematics
Biomedical engineering - Mathematical models |
| Soggetto genere / forma | Electronic books. |
| ISBN |
9780121860318
0121860310 |
| Formato | Risorse elettroniche  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Section I: Fundamentals of Computational Analysis and Modeling Biosystems; Section II: Steady State Biosystems: Linear and Non-linear Models; Section III: Dynamic Biosystems Modeled with Ordinary or Partial Differential Equations; Section IV: Computational Packages of Physiology Models and Case Studies |
| Record Nr. | UNISALENTO-991003234339707536 |
| Amsterdam ; Boston : Elsevier Academic Press, c2006 | ||
| Risorse elettroniche | ||
| Lo trovi qui: Univ. del Salento | ||
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