Applied computing in medicine and health
Applied Computing in Medicine and Health is a comprehensive presentation of on-going investigations into current applied computing challenges and advances, with a focus on a particular class of applications, primarily artificial intelligence methods and techniques in medicine and health. Applied...
| Otros Autores: | , , , , |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Waltham, MA :
Elsevier
[2016]
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| Edición: | 1st edition |
| Colección: | Emerging Topics in Computer Science and Applied Computing
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629693206719 |
Tabla de Contenidos:
- Front Cover; Applied Computing in Medicine and Health; Copyright; Contents; List of Contributors; Editor Biographies; Author Biographies; CHAPTER 1; CHAPTER 2; CHAPTER 3; CHAPTER 4; CHAPTER 5; CHAPTER 6; CHAPTER 7; CHAPTER 8; CHAPTER 9; CHAPTER 10; CHAPTER 11; CHAPTER 12; CHAPTER 13; CHAPTER 14; Acknowledgment; Introduction; TECHNOLOGY IN HEALTH; ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSIS; THE IMPORTANCE OF DATA ANALYTICS; DECISION SUPPORT SYSTEM (DSS); WHY THIS BOOK; THE ORGANIZATION OF THE BOOK
- Chapter 1 - Early Diagnosis of Neurodegenerative Diseases from Gait Discrimination to Neural SynchronizationINTRODUCTION; RESEARCH CHALLENGES; NEURODEGENERATIVE DISEASES; CLASSIFICATION ALGORITHMS FOR NDDS; NEURAL SYNCHRONIZATION AND DATA COLLECTION; NEURAL SYNCHRONY MEASUREMENT TECHNIQUE; DATA DESCRIPTION AND DATA FILTERING; DIFFERENT APPROACHES TO COMPUTE EEG SYNCHRONY; STATISTICAL ANALYSIS; CONCLUSION; REFERENCES; Chapter 2 - Lifelogging Technologies to Detect Negative Emotions Associated with Cardiovascular Disease; INTRODUCTION; BACKGROUND; RESEARCH CHALLENGES; SUMMARY; Acknowledgements
- REFERENCESChapter 3 - Gene Selection Methods for Microarray Data; INTRODUCTION TO GENE SELECTION; FEATURE SELECTION ALGORITHMS BASED ON WRAPPER APPROACH; UNSUPERVISED FILTER BASED FEATURE SELECTION ALGORITHMS; CONCLUSIONS; REFERENCES; Chapter 4 - Brain MRI Intensity Inhomogeneity Correction Using Region of Interest, Anatomic Structural Map, and Outlier Det ...; INTRODUCTION; MATHEMATICAL MODELS OF BIAS FIELD; DESIGN TECHNIQUES OF CURRENT ALGORITHMS; IMPORTANCE OF CURRENT ALGORITHMS; METHODS; EXPERIMENTAL DESIGN; DISCUSSION; CONCLUSION; REFERENCES
- Chapter 5 - Leveraging Big Data Analytics for Personalized Elderly Care: Opportunities and ChallengesINTRODUCTION; THE CHALLENGE OF PERSONALIZATION IN ELDERLY CARE; BIG DATA ANALYTICS FOR ELDERLY CARE; PROPOSED FRAMEWORK; EXAMPLE SCENARIO; DISCUSSION AND CONCLUSION; REFERENCES; Chapter 6 - Prediction of Intrapartum Hypoxia from Cardiotocography Data Using Machine Learning; INTRODUCTION; MONITORING INTRAPARTUM FETAL HYPOXIA; AMBULATORY CTG MONITORING; PROPOSED METHODOLOGY; FUTURE RESEARCH DIRECTIONS; CONCLUSIONS; REFERENCES
- Chapter 7 - Recurrent Neural Networks in Medical Data Analysis and ClassificationsINTRODUCTION; MEDICAL DATA PREPROCESSING; CLASSIFICATION; RNNS FOR CLASSIFICATION; INTRODUCTION TO PRETERM; ELECTROHYSTEROGRAM; UTERINE EHG SIGNAL PROCESSING; MODELING RNN FOR FORECASTING; CONCLUSION; REFERENCES; Chapter 8 - Assured Decision and Meta-Governance for Mobile Medical Support Systems; INTRODUCTION; RELATED WORK AND LITERATURE REVIEW; A CALCULUS OF SITUATIONS FOR MOBILE DECISION SUPPORT SYSTEMS ASSURANCE; IMPLEMENTATION STRATEGY; CASE STUDY; CONCLUSIONS AND FUTURE WORK; REFERENCES
- Chapter 9 - Identifying Preferences and Developing an Interactive Data Model and Assessment for an Intelligent Mobile Appli ...
