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Precision Health and Medicine

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Cover of 'Precision Health and Medicine'

Table of Contents

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    Book Overview
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    Chapter 1 From Precision Medicine to Precision Health: A Full Angle from Diagnosis to Treatment and Prevention
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    Chapter 2 Constructing Accurate Confidence Intervals When Aggregating Social Media Data for Public Health Monitoring
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    Chapter 3 MCA-Based Rule Mining Enables Interpretable Inference in Clinical Psychiatry
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    Chapter 4 Automatic Exercise Recognition with Machine Learning
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    Chapter 5 Assessment of Word Embedding Techniques for Identification of Personal Experience Tweets Pertaining to Medication Uses
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    Chapter 6 Using Machine Learning for Automatic Estimation of M. Smegmatis Cell Count from Fluorescence Microscopy Images
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    Chapter 7 Dynamic Transfer Learning for Named Entity Recognition
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    Chapter 8 Autism Spectrum Disorder’s Severity Prediction Model Using Utterance Features for Automatic Diagnosis Support
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    Chapter 9 Explaining Multi-label Black-Box Classifiers for Health Applications
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    Chapter 10 Large-Scale Dialog Corpus Towards Automatic Mental Disease Diagnosis
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    Chapter 11 Spoken Dialogue Systems for Medication Management
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    Chapter 12 Deep Visual Models for EEG of Mindfulness Meditation in a Workplace Setting
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    Chapter 13 End-to-End Joint Entity Extraction and Negation Detection for Clinical Text
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    Chapter 14 Highly Efficient Follicular Segmentation in Thyroid Cytopathological Whole Slide Image
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    Chapter 15 Analysis of Team Medical Care Using Integrated Information from the Trajectories of and Conversations Among Medical Personnel
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    Chapter 16 Guiding Public Health Policy by Using Grocery Transaction Data to Predict Demand for Unhealthy Beverages
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    Chapter 17 Domain Adaptation for Human Fall Detection Using WiFi Channel State Information
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    Chapter 18 Evaluating Ensemble Learning Impact on Gene Selection for Automated Cancer Diagnosis
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    Chapter 19 EpiRL: A Reinforcement Learning Agent to Facilitate Epistasis Detection
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    Chapter 20 Practical Evaluation of Different Omics Data Integration Methods
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