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Precision Health and Medicine

Overview of attention for book
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
Attention for Chapter 7: Dynamic Transfer Learning for Named Entity Recognition
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Citations

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59 Mendeley
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Chapter title
Dynamic Transfer Learning for Named Entity Recognition
Chapter number 7
Book title
Precision Health and Medicine
Published by
Springer, Cham, January 2019
DOI 10.1007/978-3-030-24409-5_7
Book ISBNs
978-3-03-024408-8, 978-3-03-024409-5
Authors

Parminder Bhatia, Kristjan Arumae, E. Busra Celikkaya, Bhatia, Parminder, Arumae, Kristjan, Busra Celikkaya, E.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 59 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 20%
Student > Ph. D. Student 10 17%
Student > Bachelor 6 10%
Researcher 6 10%
Other 3 5%
Other 6 10%
Unknown 16 27%
Readers by discipline Count As %
Computer Science 32 54%
Engineering 3 5%
Mathematics 2 3%
Linguistics 2 3%
Agricultural and Biological Sciences 1 2%
Other 2 3%
Unknown 17 29%