International archives of medicine |
Pubbl/distr/stampa | London, : BioMed Central, 2008- |
Soggetto topico |
Medicina
Medicine Health & Medicine (General) |
Soggetto genere / forma |
Revistes electròniques.
Periodical Periodicals. |
ISSN | 1755-7682 |
Formato | Materiale a stampa |
Livello bibliografico | Periodico |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996218025303316 |
London, : BioMed Central, 2008- | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Internet of things based smart healthcare : intelligent and secure solutions applying machine learning techniques / / Suparna Biswas [and three others] editors |
Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
Descrizione fisica | 1 online resource (394 pages) |
Disciplina | 004.678 |
Collana | Smart computing and intelligence |
Soggetto topico |
Internet of things
Medical innovations Medicine - Data processing Internet de les coses Processament de dades Medicina |
Soggetto genere / forma | Llibres electrònics |
ISBN | 981-19-1408-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Contents -- IoT Based Smart Healthcare -- Wearable Sensors and Machine Intelligence for Smart Healthcare -- 1 Introduction -- 2 Presents Healthcare Issues and Challenges for Remote Patients -- 3 The Possibilities of IoT as an Alternate to Conventional Healthcare System -- 4 IoT-Enabled Healthcare System -- 4.1 General Architecture -- 4.2 Proposed Architecture for the Healthcare System -- 4.3 Proposed Model -- 4.4 Component Description -- 4.5 Working Procedure of Healthcare Model -- 5 The Need and Importance of Machine Learning in Smart Healthcare -- 6 Conclusion -- References -- Architecture for Smart Healthcare: Cloud Versus Edge -- 1 Introduction -- 2 Role of Cloud Computing in Smart Healthcare Architecture -- 2.1 Properties of Cloud Computing -- 2.2 Utilities of Cloud Computing -- 2.3 Deployment Models of Cloud Computing -- 2.4 Different Architectures of Cloud Computing Used in Smart Healthcare -- 3 Role of Edge Computing in Smart Healthcare Architecture -- 3.1 Utilities of Edge Computing -- 3.2 Different Proposed Architectures of Edge Computing Used in Smart Healthcare -- 3.3 Limitation of Edge Computing -- 4 Difference Between Cloud of Edge on Smart Healthcare Perspective -- 5 Conclusion -- References -- The Medical Internet of Things: A Review of Intelligent Machine Learning and Deep Learning Applications for Leveraging Healthcare -- 1 Introduction -- 2 The Architecture of MIoT -- 2.1 The Perception Layer -- 2.2 The Network Layer -- 2.3 The Application Layer -- 3 IoT in Healthcare -- 3.1 IoT Services and Applications -- 3.2 IoT Healthcare Applications -- 3.3 Benefits of IoT in HealthCare -- 4 Machine Learning and Deep Learning Applications for MIoT -- 4.1 Machine Learning and Deep Learning Applications -- 5 Related Work and Discussion -- 5.1 Summary -- 6 Challenges -- 7 Future Directions -- 8 Conclusion -- References.
Main Challenges and Concerns of IoT Healthcare -- 1 Introduction -- 2 Applications of IoT in Healthcare -- 3 Benefits of IoT in Healthcare -- 4 Role of Cloud and Edge Computing in IoT Healthcare Services -- 4.1 Role of Cloud Computing in IoT Healthcare Services -- 4.2 Role of Edge Computing in IoT Healthcare -- 5 Challenges and Concerns of Healthcare IoT Ecosystem -- 5.1 Security and Privacy -- 5.2 Device Vulnerability -- 5.3 Interoperability -- 5.4 Connectivity -- 5.5 Volume of Data and Its Analytics -- 5.6 Energy Efficiency -- 5.7 Trust Issues and Government Policies -- 5.8 Other Challenges -- 6 Open Issues -- 7 Conclusion -- References -- Challenges of Handling Data in IoT-Enabled Healthcare -- 1 Introduction -- 2 IoT Healthcare Services and Applications -- 2.1 Services -- 2.2 IoT Applications -- 3 Challenges of Health Data -- 3.1 Inter-Domain Authentication and Interoperability -- 3.2 Security and Privacy -- 3.3 Device Communication -- 3.4 Management of Data -- 4 Uncertainties in Data -- 4.1 Types of Uncertainty in Healthcare -- 4.2 Sources of Uncertainty in IoT System -- 5 Statistical Methods -- 6 Case Studies -- 6.1 Accuracy-Related Error Prediction -- 6.2 Results for Precision Error Reduction -- 7 Virtual Sensor-Based Infrastructure -- 8 Conclusion -- References -- Context and Body Vitals Monitoring Systems -- Human Activity Recognition Systems Based on Sensor Data Using Machine Learning -- 1 Introduction -- 1.1 Classification of HAR According to Sensor Deployment -- 1.2 General Components of HAR System -- 1.3 Few Challenges of HAR in IoHT with Their Solution -- 2 Activity Recognition Method: A Machine Learning (ML) Approach -- 2.1 Why ML is to Be Used in HAR -- 2.2 Data Preprocessing: -- 2.3 Learning and Inference -- 2.4 Why to Prefer Modern ML Techniques and Deep Learning -- 3 Different State-Of-The-Art ML/DL Techniques. 4 Future Direction of Research -- References -- Human Activity Recognition Systems Based on Audio-Video Data Using Machine Learning and Deep Learning -- 1 Introduction -- 2 HAR -- 3 Sensory Data, Audio and Video Data for HAR -- 3.1 Sensory Data -- 3.2 Audio Data -- 3.3 Video Data -- 4 ML and DL in HAR -- 4.1 ML in HAR -- 4.2 Challenges of ML in HAR -- 4.3 DL in HAR -- 4.4 Challenges of DL in HAR -- 5 Implementation of HAR -- 5.1 Experimental Environment -- 6 Evaluation of HAR Systems -- 6.1 Evaluation Methodologies -- 6.2 Evaluation Metrics -- 7 Case Studies -- 8 Conclusion -- References -- On Body Vitals Monitoring for Disease Prediction: A Systematic Survey -- 1 Introduction to the Need for Generalized IOT Healthcare Paradigm -- 2 Role of Body Vital Monitoring System for Disease Prediction in IOT Healthcare -- 3 Valuable Vital Signs and Their Need to Be Monitored -- 3.1 Electrocardiogram (ECG) -- 3.2 Heart Rate (HR) -- 3.3 Blood Pressure (BP) -- 3.4 Respiration Rate -- 3.5 Blood Oxygen Saturation (SpO2) -- 3.6 Body Temperature -- 4 Review on the Recent Technological Advances in the Remote Healthcare Monitoring System -- 5 Summary -- References -- Review of Body Vitals Monitoring Systems for Disease Prediction -- 1 Introduction -- 2 Relevant Works -- 2.1 Data Collection -- 2.2 Analysis Techniques -- 3 Open Research Issues -- 4 Applications of Smart Devices -- 4.1 Personal ECG Monitor -- 4.2 Portable Smart Watch -- 4.3 Smart Glucometer -- 4.4 Brain Sensing Headband -- 4.5 Smart Temporal Thermometer -- 4.6 Fertility Tracking Bracelet -- 4.7 Pain Relief Device -- 4.8 Bio Scarf -- 5 Data Security -- 6 Technical Analysis -- 6.1 Data Preprocessing -- 6.2 Feature Extraction -- 6.3 Learning Approaches -- 6.4 Performance Measure -- 7 Conclusion -- References -- Quantitative Assessment of Smartphone Usage in College Students-A Digital Phenotyping Approach. 1 Introduction -- 2 Experiment and Study Design -- 2.1 Study Procedure -- 2.2 Incentives and Privacy Considerations -- 2.3 Data Collection -- 3 Smartphone Technology -- 3.1 Working of an Accelerometer -- 4 Activity Detection -- 5 Sleep Detection -- 6 Sociability -- 7 Location and Mobility Patterns -- 7.1 Mobility Patterns -- 8 Discussions -- 8.1 Smartphone Addiction: Mobile Usage Hours -- 8.2 Sleep Quality Impact -- 9 Conclusions -- References -- Home Automation System Combining Internet-of-Things with Brain-Computer Interfacing -- 1 Introduction -- 1.1 The Application of Smart Health Care -- 1.2 Home Automation Related to Health Care -- 1.3 Human Brain -- 1.4 Electrode Placement in Human Brain -- 1.5 Brain-Computer Interface -- 1.6 Electroencephalogram Using Machine Learning -- 1.7 Internet-of-Things Devices and Technologies -- 2 Literature Survey -- 3 Proposed Work -- 3.1 Electrode Placement and Data Acquisition -- 3.2 Preprocessing -- 3.3 Signal Processing -- 3.4 Application Device Control System -- 4 Results -- 4.1 Experimental Setup -- 4.2 EEG Recording and Data Collection -- 5 Conclusion and Future Direction -- References -- Social Sensing Applications for Public Health -- ``Montaj'': A Gaming System for Assessing Cognitive Skills in a Mobile Computing Platform -- 1 Introduction -- 2 Design and Development -- 2.1 Device Compatibility and System Installation -- 2.2 Life Cycle of a Study -- 2.3 Use Cases Diagram -- 2.4 Data Flow Diagram (DFD) -- 2.5 Entity Relationship (ER) Diagram -- 2.6 Games in `Montaj': Registration and Removal-Flexibility of the System -- 2.7 Games Made Available with the System -- 2.8 Built in Search Facilities of `Montaj' -- 2.9 Provision for Importing New Games -- 3 Testing and Validation -- 4 Novelty of System Implemented in the System -- 4.1 Capability of Accommodating Externally Implemented Games. 4.2 Novelty of the Games Implemented in the System -- 5 Usability Analysis -- 6 Conclusion -- References -- Social Data Analysis Techniques and Applications -- 1 Introduction -- 2 Social Sensing Application in Public Health -- 3 Social Data in Public Health -- 4 Social Data Analysis Techniques in Public health -- 4.1 Natural Language Processing -- 4.2 News Analytic -- 4.3 Opinion Mining -- 4.4 Scraping -- 4.5 Sentiment Analysis -- 4.6 Text Analytics -- 4.7 Social Network Analysis -- 5 State of Art Social Data Applications -- 6 SNA Techniques and Applications in Public Health -- 7 Conclusion -- References -- Challenges and Limitations of Social Data Analysis Approaches -- 1 Introduction -- 2 General Challenges -- 2.1 Technical Limitations -- 2.2 Actionability Concern -- 2.3 Ethical Considerations -- 3 Other Issues for Social Data Analysis -- 3.1 Issues of Social Data Collection -- 3.2 Issues for Processing Data -- 3.3 Issues Analysing Data -- 4 Social Data in Real-World Applications -- 5 Conclusion -- References -- Reliability, Security and Privacy of Health Data -- IoT-Based Secure Health Care: Challenges, Requirements and Case Study -- 1 Introduction -- 2 Traditional Versus Modern Architecture -- 3 Security Threats -- 4 Importance of Privacy and Security -- 4.1 Mutual-Authentication -- 4.2 Confidentiality -- 4.3 Anonymity -- 4.4 Data Freshness -- 4.5 Data Integrity -- 4.6 Data Availability -- 5 Taxonomy of Privacy and Security in Health Care -- 5.1 Access Control Schemes -- 5.2 Authentication Schemes -- 5.3 Encryption Schemes -- 6 Case Study on Intrusion Detection System for Health Care -- 6.1 Models -- 6.2 Desired Features of Healthcare IDS and IPS -- 6.3 Commercial IDS and IPS -- 6.4 Open Research Issues -- 7 Conclusion -- References. Applications of IoT and Blockchain Technologies in Healthcare: Detection of Cervical Cancer Using Machine Learning Approaches. |
Record Nr. | UNINA-9910584483603321 |
Singapore : , : Springer, , [2022] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Introduzione alla medicina / Giorgio Cosmacini Claudio Rugarli |
Autore | COSMACINI, Giorgio |
Pubbl/distr/stampa | Roma : Laterza, c2007 |
Descrizione fisica | X, 250 p. ; 22 cm |
Disciplina | 610 |
Altri autori (Persone) | RUGARLI, Claudio |
Collana | Manuali Laterza |
Soggetto topico | Medicina |
ISBN | 978-88-420-8391-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | ita |
Record Nr. | UNISA-990003273200203316 |
COSMACINI, Giorgio | ||
Roma : Laterza, c2007 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Introduzione alla medicina / Giorgio Cosmacini, Claudio Rugarli |
Autore | Cosmacini, Giorgio |
Edizione | [N. ed riveduta.] |
Pubbl/distr/stampa | Roma : GLF Editori Laterza, 2007 |
Descrizione fisica | vii, 250 p. ; 21 cm |
Disciplina | 500 |
Altri autori (Persone) | Rugarli, Claudioauthor |
Collana | Manuali Laterza ; 243 |
Soggetto topico | Medicina |
ISBN | 9788842081982 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | ita |
Record Nr. | UNISALENTO-991000648309707536 |
Cosmacini, Giorgio | ||
Roma : GLF Editori Laterza, 2007 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. del Salento | ||
|
Introduzione allo studio della medicina sperimentale / Claude Bernard ; note introduttive di Massimo Baldini ; traduzione di Francesco Ghiretti |
Autore | Bernard, Claude |
Pubbl/distr/stampa | Padova : Piccin, 1994 |
Descrizione fisica | 277 p. ; 22 cm. |
Disciplina | 619 |
Altri autori (Persone) |
Ghiretti, Francesco
Baldini, Massimo |
Collana | I classici del pensiero biomedico |
Soggetto topico | Medicina |
ISBN | 8829910813 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | ita |
Record Nr. | UNISALENTO-991003367799707536 |
Bernard, Claude | ||
Padova : Piccin, 1994 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. del Salento | ||
|
Invaginazione cronica remittente del digiuno da lipomma intraparietale. Enterectomia. Guarigione : (contributo allo studio dei lipomi dell'intestino) / Gherardo Forni |
Autore | FORNI, Gherardo |
Pubbl/distr/stampa | Napoli : Editrice tipografica forense, 1930 |
Descrizione fisica | 20 p. : ill. ; 24 cm |
Disciplina | 610 |
Soggetto topico | Medicina |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | ita |
Record Nr. | UNISA-990003510630203316 |
FORNI, Gherardo | ||
Napoli : Editrice tipografica forense, 1930 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Journal of biomedical semantics |
Pubbl/distr/stampa | [London], : Biomed Central, 2010- |
Soggetto topico |
Semantics
Medicine - Research Biology - Research Computer systems Biomedical Research Medical Informatics Medicina Biologia Semàntica |
Soggetto genere / forma |
Periodical
Fulltext Internet Resources. Periodicals. Revistes electròniques. |
Soggetto non controllato | Philology & Linguistics |
ISSN | 2041-1480 |
Formato | Materiale a stampa |
Livello bibliografico | Periodico |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996212078903316 |
[London], : Biomed Central, 2010- | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Journal of biomedical semantics |
Pubbl/distr/stampa | [London], : Biomed Central, 2010- |
Soggetto topico |
Semantics
Medicine - Research Biology - Research Computer systems Biomedical Research Medical Informatics Medicina Biologia Semàntica |
Soggetto genere / forma |
Periodical
Fulltext Internet Resources. Periodicals. Revistes electròniques. |
Soggetto non controllato | Philology & Linguistics |
ISSN | 2041-1480 |
Formato | Materiale a stampa |
Livello bibliografico | Periodico |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910140313803321 |
[London], : Biomed Central, 2010- | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
The journal of clinical investigation |
Pubbl/distr/stampa | New York, N.Y., : American Society for Clinical Investigation, 1924- |
Disciplina |
616
070.594 |
Soggetto topico |
Medicine, Experimental
Clinical Medicine medicine Médecine expérimentale Médecine 44.46 clinical pathology 44.50 diagnostic and therapy: general Diagnostiek Medicine, Experimental - Periodicals Medicine - Periodicals Medicina Medicina experimental |
Soggetto genere / forma |
Periodical
Periodicals. Revistes electròniques. |
ISSN | 1558-8238 |
Formato | Materiale a stampa |
Livello bibliografico | Periodico |
Lingua di pubblicazione | eng |
Altri titoli varianti | JCI |
Record Nr. | UNISA-996201376703316 |
New York, N.Y., : American Society for Clinical Investigation, 1924- | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
The journal of clinical investigation |
Pubbl/distr/stampa | New York, N.Y., : American Society for Clinical Investigation, 1924- |
Disciplina |
616
070.594 |
Soggetto topico |
Medicine, Experimental
Clinical Medicine medicine Médecine expérimentale Médecine 44.46 clinical pathology 44.50 diagnostic and therapy: general Diagnostiek Medicine, Experimental - Periodicals Medicine - Periodicals Medicina Medicina experimental |
Soggetto genere / forma |
Periodical
Periodicals. Revistes electròniques. |
ISSN | 1558-8238 |
Formato | Materiale a stampa |
Livello bibliografico | Periodico |
Lingua di pubblicazione | eng |
Altri titoli varianti | JCI |
Record Nr. | UNINA-9910134122903321 |
New York, N.Y., : American Society for Clinical Investigation, 1924- | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|