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Data Mining in Clinical Medicine

Overview of attention for book
Cover of 'Data Mining in Clinical Medicine'

Table of Contents

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    Book Overview
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    Chapter 1 Actigraphy pattern analysis for outpatient monitoring.
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    Chapter 2 Definition of Loss Functions for Learning from Imbalanced Data to Minimize Evaluation Metrics
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    Chapter 3 Audit Method Suited for DSS in Clinical Environment.
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    Chapter 4 Incremental logistic regression for customizing automatic diagnostic models.
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    Chapter 5 Using Process Mining for Automatic Support of Clinical Pathways Design
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    Chapter 6 Analyzing complex patients' temporal histories: new frontiers in temporal data mining.
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    Chapter 7 The Snow System: A Decentralized Medical Data Processing System
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    Chapter 8 Data Mining for Pulsing the Emotion on the Web
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    Chapter 9 Introduction on Health Recommender Systems
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    Chapter 10 Cloud Computing for Context-Aware Enhanced m-Health Services
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    Chapter 11 Analysis of Speech-Based Measures for Detecting and Monitoring Alzheimer’s Disease
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    Chapter 12 Applying Data Mining for the Analysis of Breast Cancer Data
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    Chapter 13 Mining Data When Technology Is Applied to Support Patients and Professional on the Control of Chronic Diseases: The Experience of the METABO Platform for Diabetes Management
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    Chapter 14 Data Analysis in Cardiac Arrhythmias
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    Chapter 15 Knowledge-Based Personal Health System to Empower Outpatients of Diabetes Mellitus by Means of P4 Medicine
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    Chapter 16 Serious Games for Elderly Continuous Monitoring
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

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