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Information technology in bio- and medical informatics : 8th International Conference, ITBAM 2017, Lyon, France, August 28-31, 2017, Proceedings / Miroslav Bursa, Andreas Holzinger, M. Elena Renda, Sami Khuri (eds.).

By: Contributor(s): Material type: TextTextSeries: Lecture notes in computer science ; 10443. | LNCS sublibrary. SL 3, Information systems and applications, incl. Internet/Web, and HCI.Publisher: Cham, Switzerland : Springer, 2017Description: 1 online resource (x, 135 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783319642659
  • 3319642650
  • 3319642642
  • 9783319642642
  • 9783319642666
  • 3319642669
Other title:
  • ITBAM 2017
Subject(s): Genre/Form: Additional physical formats: Printed edition:: No titleDDC classification:
  • 570.285 23
LOC classification:
  • QH324.2
Online resources:
Contents:
Intro -- Preface -- Organization -- Contents -- Editorial -- IT in Biology & Medical Informatics: On the Challenge of Understanding the Data Ecosystem -- 1 Life Science and Medicine as Data Science -- 2 Challenge: Understanding the Data Ecosystem -- 3 Conclusion -- References -- General Track -- A Hybrid Feature Selection Method to Classification and Its Application in Hypertension Diagnosis -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data -- 2.2 Feature Selection -- 3 Experiment and Results -- 3.1 Generation of Target Population -- 3.2 Hybrid Feature Selection
3.3 Bayesian Network -- 3.4 Experimental Results -- 4 Conclusion -- Acknowledgment -- References -- Statistical Analysis of Perinatal Risk Factors for Emergency Caesarean Section -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset -- 2.2 Population and Inclusion Criteria -- 2.3 Features -- 2.4 Statistical Evaluation -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Modelling of Cancer Patient Records: A Structured Approach to Data Mining and Visual Analytics -- Abstract -- 1 Introduction -- 1.1 Background -- 1.2 Case Study -- University Hospital Southampton -- 2 Methodology
2.1 Process-Driven Framework -- 2.2 Data Warehousing -- 2.3 Data Mining and Modelling -- 2.4 Visualisation -- 3 Clinical Data -- 3.1 Data Sources and Understanding -- 3.2 Data Pre-processing -- 3.3 Multi-dimensional Modelling -- 4 Results -- 4.1 Visual Analytics -- 4.2 Data Mining and Analytics -- 4.3 Discussion -- 5 Conclusion -- Acknowledgements -- References -- Poster Session -- Contextual Decision Making for Cancer Diagnosis -- 1 Introduction -- 2 Model and Decision Analytic Model -- 3 Cancer Diagnosis and Modeling Cancer Diagnosis -- 3.1 Cancer and Cancer Diagnosis
3.2 Modeling Cancer Diagnosis -- 4 Computer Aided/Assisted Diagnosis (CAD) -- 5 Context and the Role of Context in Medical Decision Making -- 5.1 Context -- 5.2 Modeling Context for Medical Decision Making -- 6 Critical Discussion and Our Approach -- 6.1 Discussion -- 6.2 Our Contribution -- 7 Conclusion -- References -- A Review of Model Prediction in Diabetes and of Designing Glucose Regulators Based on Model Predictive Control for the Artificial Pancreas -- 1 Introduction -- 2 Datasets -- 3 Evaluation Criteria -- 4 Prediction Models -- 4.1 Linear/Nonlinear Dynamic Models
4.2 Neural Network Models -- 5 Results -- 6 Artificial Pancreas -- Model Predictive Control -- 7 Discussion -- 8 Conclusion -- References -- Audit Trails in OpenSLEX: Paving the Road for Process Mining in Healthcare -- 1 Motivation -- 2 Background -- 2.1 Standardized Audit Trails -- 2.2 OpenSLEX Meta Model -- 3 Problem -- 4 Approach -- 4.1 Mapping of ATNA Messages to OpenSLEX -- 4.2 Transformation of ATNA Messages -- 5 Conclusion and Future Work -- References -- Riemannian Geometry in Sleep Stage Classification -- 1 Introduction -- 2 Materials and Methods -- 2.1 Covariance Matrix
Summary: This book constitutes the refereed proceedings of the 8th International Conference on Information Technology in Bio- and Medical Informatics, ITBAM 2017, held in Lyon, France, in August 2017. The 3 revised full papers and 6 poster papers presented were carefully reviewed and selected from 15 submissions. The papers address a broad range of topics in applications of information technology to biomedical engineering and medical informatics.
Holdings
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eBook eBook e-Library eBook LNCS Available
Total holds: 0

Includes author index.

International conference proceedings.

Online resource; title from PDF title page (SpringerLink, viewed August 17, 2017).

This book constitutes the refereed proceedings of the 8th International Conference on Information Technology in Bio- and Medical Informatics, ITBAM 2017, held in Lyon, France, in August 2017. The 3 revised full papers and 6 poster papers presented were carefully reviewed and selected from 15 submissions. The papers address a broad range of topics in applications of information technology to biomedical engineering and medical informatics.

Intro -- Preface -- Organization -- Contents -- Editorial -- IT in Biology & Medical Informatics: On the Challenge of Understanding the Data Ecosystem -- 1 Life Science and Medicine as Data Science -- 2 Challenge: Understanding the Data Ecosystem -- 3 Conclusion -- References -- General Track -- A Hybrid Feature Selection Method to Classification and Its Application in Hypertension Diagnosis -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data -- 2.2 Feature Selection -- 3 Experiment and Results -- 3.1 Generation of Target Population -- 3.2 Hybrid Feature Selection

3.3 Bayesian Network -- 3.4 Experimental Results -- 4 Conclusion -- Acknowledgment -- References -- Statistical Analysis of Perinatal Risk Factors for Emergency Caesarean Section -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset -- 2.2 Population and Inclusion Criteria -- 2.3 Features -- 2.4 Statistical Evaluation -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Modelling of Cancer Patient Records: A Structured Approach to Data Mining and Visual Analytics -- Abstract -- 1 Introduction -- 1.1 Background -- 1.2 Case Study -- University Hospital Southampton -- 2 Methodology

2.1 Process-Driven Framework -- 2.2 Data Warehousing -- 2.3 Data Mining and Modelling -- 2.4 Visualisation -- 3 Clinical Data -- 3.1 Data Sources and Understanding -- 3.2 Data Pre-processing -- 3.3 Multi-dimensional Modelling -- 4 Results -- 4.1 Visual Analytics -- 4.2 Data Mining and Analytics -- 4.3 Discussion -- 5 Conclusion -- Acknowledgements -- References -- Poster Session -- Contextual Decision Making for Cancer Diagnosis -- 1 Introduction -- 2 Model and Decision Analytic Model -- 3 Cancer Diagnosis and Modeling Cancer Diagnosis -- 3.1 Cancer and Cancer Diagnosis

3.2 Modeling Cancer Diagnosis -- 4 Computer Aided/Assisted Diagnosis (CAD) -- 5 Context and the Role of Context in Medical Decision Making -- 5.1 Context -- 5.2 Modeling Context for Medical Decision Making -- 6 Critical Discussion and Our Approach -- 6.1 Discussion -- 6.2 Our Contribution -- 7 Conclusion -- References -- A Review of Model Prediction in Diabetes and of Designing Glucose Regulators Based on Model Predictive Control for the Artificial Pancreas -- 1 Introduction -- 2 Datasets -- 3 Evaluation Criteria -- 4 Prediction Models -- 4.1 Linear/Nonlinear Dynamic Models

4.2 Neural Network Models -- 5 Results -- 6 Artificial Pancreas -- Model Predictive Control -- 7 Discussion -- 8 Conclusion -- References -- Audit Trails in OpenSLEX: Paving the Road for Process Mining in Healthcare -- 1 Motivation -- 2 Background -- 2.1 Standardized Audit Trails -- 2.2 OpenSLEX Meta Model -- 3 Problem -- 4 Approach -- 4.1 Mapping of ATNA Messages to OpenSLEX -- 4.2 Transformation of ATNA Messages -- 5 Conclusion and Future Work -- References -- Riemannian Geometry in Sleep Stage Classification -- 1 Introduction -- 2 Materials and Methods -- 2.1 Covariance Matrix

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