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Proposed framework for presenting injury data using the International Classification of Diseases, tenth revision, clinical modification (ICD-10-CM) diagnosis codes / / by Holly Hedegaard [and four others]
| Proposed framework for presenting injury data using the International Classification of Diseases, tenth revision, clinical modification (ICD-10-CM) diagnosis codes / / by Holly Hedegaard [and four others] |
| Autore | Hedegaard Holly |
| Pubbl/distr/stampa | Hyattsville, Md. : , : U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Health Statistics, , 2016 |
| Descrizione fisica | 1 online resource (19 pages) : illustrations |
| Collana |
National health statistics reports
DHHS publication |
| Soggetto topico |
Wounds and injuries - United States
Brain - Wounds and injuries - United States Data mining - United States Medicine - Data processing |
| Soggetto genere / forma | Statistics. |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Proposed framework for presenting injury data using the International Classification of Diseases, tenth revision, clinical modification |
| Record Nr. | UNINA-9910704377403321 |
Hedegaard Holly
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| Hyattsville, Md. : , : U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Health Statistics, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Semantic web for effective healthcare systems / / edited by Vishal Jain, [and three others]
| Semantic web for effective healthcare systems / / edited by Vishal Jain, [and three others] |
| Edizione | [1st edition.] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2022] |
| Descrizione fisica | 1 online resource (368 pages) |
| Disciplina | 610.285 |
| Collana | Machine learning in biomedical science and healthcare informatics |
| Soggetto topico |
Semantic Web
Medical informatics Medicine - Data processing |
| ISBN |
1-119-76415-7
1-119-76417-3 1-119-76416-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Half-Title Page -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- Acknowledgment -- 1 An Ontology-Based Contextual Data Modeling for Process Improvement in Healthcare -- 1.1 Introduction -- 1.1.1 Ontology-Based Information Extraction -- 1.1.2 Ontology-Based Knowledge Representation -- 1.2 Related Work -- 1.3 Motivation -- 1.4 Feature Extraction -- 1.4.1 Vector Space Model -- 1.4.2 Latent Semantic Indexing (LSI) -- 1.4.3 Clustering Techniques -- 1.4.4 Topic Modeling -- p(w|d) -- 1.5 Ontology Development -- 1.5.1 Ontology-Based Semantic Indexing (OnSI) Model -- 1.5.2 Ontology Development -- 1.5.3 OnSI Model Evaluation -- 1.5.4 Metrics Analysis -- 1.6 Dataset Description -- 1.7 Results and Discussions -- 1.7.1 Discussion 1 -- 1.7.2 Discussion 2 -- 1.7.3 Discussion 3 -- 1.8 Applications -- 1.9 Conclusion -- 1.10 Future Work -- References -- 2 Semantic Web for Effective Healthcare Systems: Impact and Challenges -- 2.1 Introduction -- 2.2 Overview of the Website in Healthcare -- 2.2.1 What Is Website? -- 2.2.2 Types of Website -- 2.2.2.1 Static Website -- 2.2.2.2 Dynamic Website -- 2.2.3 What Is Semantic Web? -- 2.2.4 Role of Semantic Web -- 2.2.4.1 Pros and Cons of Semantic Web -- 2.2.4.2 Impact on Patient -- 2.2.4.3 Impact on Practitioner -- 2.2.4.4 Impact on Researchers -- 2.3 Data and Database -- 2.3.1 What Is Data? -- 2.3.2 What Is Database? -- 2.3.3 Source of Data in the Healthcare System -- 2.3.3.1 Electronic Health Record (EHR) -- 2.3.3.2 Biomedical Image Analysis -- 2.3.3.3 Sensor Data Analysis -- 2.3.3.4 Genomic Data Analysis -- 2.3.3.5 Clinical Text Mining -- 2.3.3.6 Social Media -- 2.3.4 Why Are Databases Important? -- 2.3.5 Challenges With the Database in the Healthcare System -- 2.4 Big Data and Database Security and Protection -- 2.4.1 What Is Big Data -- 2.4.2 Five V's of Big Data -- 2.4.2.1 Volume.
2.4.2.2 Variety -- 2.4.2.3 Velocity -- 2.4.2.4 Veracity -- 2.4.2.5 Value -- 2.4.3 Architectural Framework of Big Data -- 2.4.4 Data Protection Versus Data Security in Healthcare -- 2.4.4.1 Phishing Attacks -- 2.4.4.2 Malware and Ransomware -- 2.4.4.3 Cloud Threats -- 2.4.5 Technology in Use to Secure the Healthcare Data -- 2.4.5.1 Access Control Policy -- 2.4.6 Monitoring and Auditing -- 2.4.7 Standard for Data Protection -- 2.4.7.1 Healthcare Standard in India -- 2.4.7.2 Security Technical Standards -- 2.4.7.3 Administrative Safeguards Standards -- 2.4.7.4 Physical Safeguard Standards -- References -- 3 Ontology-Based System for Patient Monitoring -- 3.1 Introduction -- 3.1.1 Basics of Ontology -- 3.1.2 Need of Ontology in Patient Monitoring -- 3.2 Literature Review -- 3.2.1 Uses of Ontology in Various Domains -- 3.2.2 Ontology in Patient Monitoring System -- 3.3 Architectural Design -- 3.3.1 Phases of Patient Monitoring System -- 3.3.2 Reasoner in Patient Monitoring -- 3.4 Experimental Results -- 3.4.1 SPARQL Results -- 3.4.2 Comparison Between Other Systems -- 3.5 Conclusion and Future Enhancements -- References -- 4 Semantic Web Solutions for Improvised Search in Healthcare Systems -- 4.1 Introduction -- 4.1.1 Key Benefits and Usage of Technology in Healthcare System -- 4.2 Background -- 4.2.1 Significance of Semantics in Healthcare Systems -- 4.2.2 Scope and Benefits of Semantics in Healthcare Systems -- 4.2.3 Issues in Incorporating Semantics -- 4.2.4 Existing Semantic Web Technologies -- 4.3 Searching Techniques in Healthcare Systems -- 4.3.1 Keyword-Based Search -- 4.3.2 Controlled Vocabularies Based Search -- 4.3.3 Improvising Searches With Semantic Web Solutions -- 4.3.4 Health Domain-Specific Resources for Semantic Search -- 4.3.4.1 Ontologies -- 4.3.4.2 Libraries -- 4.3.4.3 Search Engines. 4.4 Emerging Technologies/Resources in Health Sector -- 4.4.1 Elasticsearch -- 4.4.2 BioBERT -- 4.4.3 Knowledge Graphs -- 4.5 Conclusion -- References -- 5 Actionable Content Discovery for Healthcare -- 5.1 Introduction -- 5.2 Actionable Content -- 5.2.1 Actionable Content in Theory -- 5.2.2 Actionable Content in Practice -- 5.3 Health Analytics -- 5.3.1 Artificial Intelligence/Machine Learning-Based Predictive Analytics -- 5.3.2 Semantic Technology for Prescriptive Health Analytics -- 5.4 Ontologies and Actionable Content -- 5.4.1 Ontologies in Healthcare Domain -- 5.5 General Architecture for the Discovery of Actionable Content for Healthcare Domain -- 5.5.1 Ontology-Driven Actionable Content Discovery in Healthcare Domain -- 5.5.2 Case Study for Actionable Content Discovery in Cancer Domain -- 5.6 Conclusion -- References -- 6 Intelligent Agent System Using Medicine Ontology -- 6.1 Introduction to Semantic Search -- 6.1.1 What Is an Ontology in Terms of Medicine? -- 6.1.2 Needs and Benefits of Ontology in Medical Search -- 6.2 Sematic Search -- 6.2.1 How NLP Works in Sematic Search? -- 6.2.2 Part of Speech Tagging and Chunking -- 6.2.3 Sentence Parsing -- 6.2.4 Discussion About the Various Semantic Search in Medical Databases -- 6.2.5 Discussion About the Retrieval Tools Used in Sematic Search in Medline -- 6.3 Structural Pattern of Semantic Search -- 6.3.1 Architectural Diagram -- 6.3.2 Agent Ontology -- 6.3.3 Rule-Based Approach -- 6.3.4 Reasoners-Based Approach SVM-Based Approach -- 6.4 Implementation of Reasoners -- 6.5 Implementation and Results -- 6.6 Conclusion and Future Prospective -- References -- 7 Ontology-Based System for Robotic Surgery-A Historical Analysis -- 7.1 Historical Discourse of Surgical Robots -- 7.2 The Necessity for Surgical Robots -- 7.3 Ontological Evolution of Robotic Surgical Procedures in Various Domains. 7.4 Inferences Drawn From the Table -- 7.5 Transoral Robotic Surgery -- 7.6 Pancreatoduodenectomy -- 7.7 Robotic Mitral Valve Surgery -- 7.8 Rectal Tumor Surgery -- 7.9 Robotic Lung Cancer Surgery -- 7.10 Robotic Surgery in Gynecology -- 7.11 Robotic Radical Prostatectomy -- 7.12 Conclusion -- 7.13 Future Work -- References -- 8 IoT-Enabled Effective Healthcare Monitoring System Using Semantic Web -- 8.1 Introduction -- 8.2 Literature Review -- 8.3 Phases of IoT-Based Healthcare -- 8.4 IoT-Based Healthcare Architecture -- 8.5 IoT-Based Sensors for Health Monitoring -- 8.6 IoT Applications in Healthcare -- 8.7 Semantic Web, Ontology, and Its Usage in Healthcare Sector -- 8.8 Semantic Web-Based IoT Healthcare -- 8.9 Challenges of IoT in Healthcare Industry -- 8.10 Conclusion -- References -- 9 Precision Medicine in the Context of Ontology -- 9.1 Introduction -- 9.2 The Rationale Behind Data -- 9.3 Data Standards for Interoperability -- 9.4 The Evolution of Ontology -- 9.5 Ontologies and Classifying Disorders -- 9.6 Phenotypic Ontology of Humans in Rare Disorders -- 9.7 Annotations and Ontology Integration -- 9.8 Precision Annotation and Integration -- 9.9 Ontology in the Contexts of Gene Identification Research -- 9.10 Personalizing Care for Chronic Illness -- 9.11 Roadblocks Toward Precision Medicine -- 9.12 Future Perspectives -- 9.13 Conclusion -- References -- 10 A Knowledgebase Model Using RDF Knowledge Graph for Clinical Decision Support Systems -- 10.1 Introduction -- 10.2 Relational Database to Graph Database -- 10.2.1 Relational Database for Knowledge Representation -- 10.2.2 NoSQL Databases -- 10.2.3 Graph Database -- 10.3 RDF -- 10.3.1 RDF Model and Technology -- 10.3.2 Metadata and URI -- 10.3.3 RDF Stores -- 10.4 Knowledgebase Systems and Knowledge Graphs -- 10.4.1 Knowledgebase Systems -- 10.4.2 Knowledge Graphs. 10.4.3 RDF Knowledge Graphs -- 10.4.4 Information Retrieval Using SPARQL -- 10.5 Knowledge Base for CDSS -- 10.5.1 Curation of Knowledge Base for CDSS -- 10.5.2 Proposed Model for Curation -- 10.5.3 Evaluation Methodology -- 10.6 Discussion for Further Research and Development -- 10.7 Conclusion -- References -- 11 Medical Data Supervised Learning Ontologies for Accurate Data Analysis -- 11.1 Introduction -- 11.2 Ontology of Biomedicine -- 11.2.1 Ontology Resource Open Sharing -- 11.3 Supervised Learning -- 11.4 AQ21 Rule in Machine Learning -- 11.5 Unified Medical Systems -- 11.5.1 Note of Relevance to Bioinformatic Experts -- 11.5.2 Terminological Incorporation Principles -- 11.5.3 Cross-References External -- 11.5.4 UMLS Data Access -- 11.6 Performance Analysis -- 11.7 Conclusion -- References -- 12 Rare Disease Diagnosis as Information Retrieval Task -- 12.1 Introduction -- 12.2 Definition -- 12.3 Characteristics of Rare Diseases (RDs) -- 12.4 Types of Rare Diseases -- 12.4.1 Genetic Causes -- 12.4.2 Non-Genetic Causes -- 12.4.3 Pathogenic Causes (Infectious Agents) -- 12.4.4 Toxic Agents -- 12.4.5 Other Causes -- 12.5 A Brief Classification -- 12.6 Rare Disease Databases and Online Resources -- 12.6.1 European Reference Network: ERN -- 12.6.2 Genetic and Rare Diseases Information Center: GARD -- 12.6.3 International Classification of Diseases, 10th Revision: ICD-10 -- 12.6.4 Orphanet-INSERM (Institut National de la Santé et de la Recherche Médicale) -- 12.6.5 Medical Dictionary for Regulatory Activities: MedDRA -- 12.6.6 Medical Subject Headings: MeSH -- 12.6.7 Online Mendelian Inheritance in Man: OMIM -- 12.6.8 Orphanet Rare Disease Ontology: ORDO -- 12.6.9 UMLS: Unified Medical Language System -- 12.6.10 SNOMED-CT: Systematized Nomenclature of Human and Veterinary Medicine-Clinical Terms. 12.7 Information Retrieval of Rare Diseases Through a Web Search and Other Methods. |
| Record Nr. | UNINA-9910830491503321 |
| Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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The seventh Annual Symposium on Computer Applications in Medical Care, 1983 : proceedings : 23-26 October 1983
| The seventh Annual Symposium on Computer Applications in Medical Care, 1983 : proceedings : 23-26 October 1983 |
| Pubbl/distr/stampa | New York : , : IEEE, , 2002 |
| Descrizione fisica | 1 online resource (581 pages) |
| Soggetto topico | Medicine - Data processing |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996215169503316 |
| New York : , : IEEE, , 2002 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Source code for biology and medicine
| Source code for biology and medicine |
| Pubbl/distr/stampa | London : , : BioMed Central, , 2006-2020 |
| Descrizione fisica | 1 online resource |
| Soggetto topico |
Biology - Data processing
Medicine - Data processing Biology Data Mining Molecular Sequence Data |
| Soggetto genere / forma |
Fulltext
Internet Resources. Periodicals. Periodical |
| Soggetto non controllato | Biology - General |
| ISSN | 1751-0473 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996207183503316 |
| London : , : BioMed Central, , 2006-2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Source code for biology and medicine
| Source code for biology and medicine |
| Pubbl/distr/stampa | London : , : BioMed Central, , 2006-2020 |
| Descrizione fisica | 1 online resource |
| Soggetto topico |
Biology - Data processing
Medicine - Data processing Biology Data Mining Molecular Sequence Data |
| Soggetto genere / forma |
Fulltext
Internet Resources. Periodicals. Periodical |
| Soggetto non controllato | Biology - General |
| ISSN | 1751-0473 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910144886103321 |
| London : , : BioMed Central, , 2006-2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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SpliTech 2019 : 2019 4th International Conference on Smart and Sustainable Technologies : Bol/Split, Croatia, June 18-21, 2019 / / Institute of Electrical and Electronics Engineers ; edited by: Toni Perković [and five others]
| SpliTech 2019 : 2019 4th International Conference on Smart and Sustainable Technologies : Bol/Split, Croatia, June 18-21, 2019 / / Institute of Electrical and Electronics Engineers ; edited by: Toni Perković [and five others] |
| Pubbl/distr/stampa | Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2019 |
| Descrizione fisica | 1 online resource (3034 pages) |
| Disciplina | 610.285 |
| Soggetto topico |
Medicine - Data processing
Internet of things Smart cities Sustainable engineering |
| ISBN | 953-290-091-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910332516603321 |
| Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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SpliTech 2019 : 2019 4th International Conference on Smart and Sustainable Technologies : Bol/Split, Croatia, June 18-21, 2019 / / Institute of Electrical and Electronics Engineers ; edited by: Toni Perković [and five others]
| SpliTech 2019 : 2019 4th International Conference on Smart and Sustainable Technologies : Bol/Split, Croatia, June 18-21, 2019 / / Institute of Electrical and Electronics Engineers ; edited by: Toni Perković [and five others] |
| Pubbl/distr/stampa | Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2019 |
| Descrizione fisica | 1 online resource (3034 pages) |
| Disciplina | 610.285 |
| Soggetto topico |
Medicine - Data processing
Internet of things Smart cities Sustainable engineering |
| ISBN | 953-290-091-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996581167003316 |
| Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Strategic debriefing for advanced simulation / / Giorgio Capogna [and six others]
| Strategic debriefing for advanced simulation / / Giorgio Capogna [and six others] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (162 pages) |
| Disciplina | 610.696 |
| Soggetto topico |
Communication in medicine
Medicine - Data processing |
| ISBN | 3-031-06104-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Contents -- 1: What You Need to Know Before You Start -- 1.1 Error in Medicine: From Fault to Resource -- 1.1.1 Error Classification -- 1.1.2 Working with Error in Simulation for Patient Safety -- 1.1.3 The Human Factor: Training Non-technical Skills with CRM -- 1.2 Adult Learning in Simulation -- 1.2.1 Experiential Learning: The Kolb Cycle -- 1.2.2 Learning from the Experience of the Other: Mirror Neurons -- 1.2.3 Protected Learning and Psychological Safety -- 1.3 Training Methods: From Frontal Lesson to Simulation -- 1.4 Elements and Characteristics of Communication -- References -- 2: Essentials of Debriefing -- 2.1 Definition of Debriefing -- 2.2 Purpose of Debriefing and Learning Objectives -- 2.3 Debriefing Participants -- 2.4 When, Where, and How Long to Debrief -- 2.5 Qualities of the Debriefer -- 2.6 Structure of the Debriefing -- 2.7 Communication Methods Used in Debriefing -- 2.7.1 Feedback (Directive, Peer, and Self-feedback) -- 2.7.2 Plus/Delta -- 2.7.3 Assertion-Investigation -- 2.8 Debriefing and Structural Deficits in the Working Environment -- 2.9 The Co-debriefing -- 2.10 Concluding Remarks -- References -- 3: Effective Communication for Strategic Change -- 3.1 Introduction -- 3.2 Knowing to See by Learning How to Act: Theory Informing the Brief Strategic Approach -- 3.3 The Structure of the Strategic Dialogue -- 3.3.1 Use of the Strategic Questioning -- 3.3.2 Reframing and Paraphrases -- 3.3.3 Evoking Sensation -- 3.3.4 Summarize to Redefine -- 3.4 Prescription as an Outcome -- 3.5 Conclusion -- References -- 4: Strategic Debriefing: A Corrective Emotional Experience -- 4.1 Emotions and Simulation -- 4.2 How to Help Learners Deal with the Emotions Felt During the Scenario -- 4.3 Descriptive Phase -- 4.4 Analytical Phase -- 4.5 Application Phase -- 4.6 General Considerations.
4.7 Psychotraps and Their Use in Simulation -- 4.7.1 The Deception of Expectations -- 4.7.2 The Illusion of Ultimate Knowledge -- 4.7.3 The Myth of Perfect Reasoning -- 4.7.4 I Felt It, Then Is -- 4.7.5 Consistency at All Costs -- 4.7.6 Overestimate/Underestimate -- References -- 5: Strategic Debriefing in Practice -- 5.1 Briefing Before the Scenario -- 5.2 What to Do During the Scenario -- 5.3 Reaction and De-roling Phase -- 5.3.1 In Basic Debriefing -- 5.3.2 In Strategic Debriefing -- 5.4 How to Start Debriefing: The Introduction to the Method -- 5.5 Descriptive Phase -- 5.5.1 In Basic Debriefing -- 5.5.2 In Strategic Debriefing -- 5.6 The Analytical Phase -- 5.6.1 In Basic Debriefing -- 5.6.2 In Strategic Debriefing -- 5.7 The Application Phase -- 5.7.1 In Basic Debriefing -- 5.7.2 In Strategic Debriefing -- 5.8 The Difficult Debriefing -- 5.9 How to Evaluate the Debriefing -- References -- Appendixes -- Appendix A: Debriefing with Regular Staff -- Debriefing -- Introduction -- Descriptive Phase -- Analytic Phase -- Application Phase -- Appendix B: Debriefing with Residents -- Debriefing -- Descriptive Phase -- Analytic Phase -- Application Phase -- Appendix C: Debriefing with Regular Staff After In Situ Simulation -- Debriefing -- Introduction -- Descriptive Phase -- Analytic Phase -- Application Phase. |
| Record Nr. | UNINA-9910590085303321 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Systems engineering approach to medical automation / / Robin Felder, Majd Alwan, Mingjun Zhang, editors
| Systems engineering approach to medical automation / / Robin Felder, Majd Alwan, Mingjun Zhang, editors |
| Pubbl/distr/stampa | Boston : , : Artech House, , ©2008 |
| Descrizione fisica | 1 online resource (315 p.) |
| Disciplina | 610.28 |
| Altri autori (Persone) |
FelderRobin
AlwanMajd ZhangMingjun |
| Collana | Artech House series, engineering in medicine & biology |
| Soggetto topico | Medicine - Data processing |
| Soggetto genere / forma | Electronic books. |
| ISBN | 1-59693-165-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction to medical automation -- Human factors issues with automation -- Mathematical modeling for medical automation -- Contact dynamic simulation of micro-/nanoscale maniplation for medical applications -- Modeling and mathematical analysis of swarms of microscopic robots for medical diagnostics -- Medical and biometric identification for pattern recognition and data fusion with quantitative measuring -- Lab-on-a-chip automation of laboratory diagnostics : lipoprotein subclass separation automation -- Clinical laboratory automation -- Pharmacy autmoation technologies -- Automation technologies in the operating room -- Health care supply chain automation -- Process management using information systems : principles and systems -- Telehealth and telemedicine technologies : overview, benefits, and implications -- Automated in-home patient monitoring : geriatric care application -- Connected medicine -- Information technology networks, data management, and electronic medical records. |
| Record Nr. | UNINA-9910455177003321 |
| Boston : , : Artech House, , ©2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Systems engineering approach to medical automation / / Robin Felder, Majd Alwan, Mingjun Zhang, editors
| Systems engineering approach to medical automation / / Robin Felder, Majd Alwan, Mingjun Zhang, editors |
| Pubbl/distr/stampa | Boston : , : Artech House, , ©2008 |
| Descrizione fisica | 1 online resource (315 p.) |
| Disciplina | 610.28 |
| Altri autori (Persone) |
FelderRobin
AlwanMajd ZhangMingjun |
| Collana | Artech House series, engineering in medicine & biology |
| Soggetto topico | Medicine - Data processing |
| ISBN | 1-59693-165-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction to medical automation -- Human factors issues with automation -- Mathematical modeling for medical automation -- Contact dynamic simulation of micro-/nanoscale maniplation for medical applications -- Modeling and mathematical analysis of swarms of microscopic robots for medical diagnostics -- Medical and biometric identification for pattern recognition and data fusion with quantitative measuring -- Lab-on-a-chip automation of laboratory diagnostics : lipoprotein subclass separation automation -- Clinical laboratory automation -- Pharmacy autmoation technologies -- Automation technologies in the operating room -- Health care supply chain automation -- Process management using information systems : principles and systems -- Telehealth and telemedicine technologies : overview, benefits, and implications -- Automated in-home patient monitoring : geriatric care application -- Connected medicine -- Information technology networks, data management, and electronic medical records. |
| Record Nr. | UNINA-9910778002303321 |
| Boston : , : Artech House, , ©2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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