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Natural Language Processing (NLP) in Healthcare and Life Sciences Market Advanced Technology Analysis and Segments Forecast 2022

 



(PharmaNewsWire.Com, November 01, 2017 ) Request sample copy of this report @ http://www.orbisresearch.com/contacts/request-sample/498587   .

This report studies the global Natural Language Processing (NLP) in Healthcare and Life Sciences market, analyzes and researches the Natural Language Processing (NLP) in Healthcare and Life Sciences development status and forecast in United States, EU, Japan, China, India and Southeast Asia. This report focuses on the top players in global market, like 
3M (Minnesota) 
Cerner Corporation (Missouri) 
IBM Corporation (New York) 
Microsoft Corporation (Washington) 
Nuance Communications (Massachusetts) 
M*Modal (Tennessee) 
Health Fidelity (California) 
Dolbey Systems (Ohio) 
Linguamatics (Cambridge) 
Apixio (San Mateo)

Market segment by Regions/Countries, this report covers 
United States 
EU 
Japan 
China 
India 
Southeast Asia

Purchase a copy of Natural Language Processing (NLP) in Healthcare and Life Sciences  Market visit @ http://www.orbisresearch.com/contact/purchase/498587  For more information contact sales@orbisresearch.com      .

Market segment by Type, Natural Language Processing (NLP) in Healthcare and Life Sciences can be split into 
Rule-based 
Statistical 
Hybrid

Market segment by Application, Natural Language Processing (NLP) in Healthcare and Life Sciences can be split into 
Machine Translation 
Automated Information Extraction 
Report Generation 
Predictive Risk Analytics 
Others

 Browse Complete Report @ http://www.orbisresearch.com/reports/index/global-natural-language-processing-nlp-in-healthcare-and-life-sciences-market-size-status-and-forecast-2022 .

Some points from TOC:

Chapter One: Industry Overview of Natural Language Processing (NLP) in Healthcare and Life Sciences
1.1 Natural Language Processing (NLP) in Healthcare and Life Sciences Market Overview
1.1.1 Natural Language Processing (NLP) in Healthcare and Life Sciences Product Scope
1.1.2 Market Status and Outlook
1.2 Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size and Analysis by Regions
1.2.1 United States
1.2.2 EU
1.2.3 Japan
1.2.4 China
1.2.5 India
1.2.6 Southeast Asia
1.3 Natural Language Processing (NLP) in Healthcare and Life Sciences Market by Type
1.3.1 Rule-based
1.3.2 Statistical
1.3.3 Hybrid
1.4 Natural Language Processing (NLP) in Healthcare and Life Sciences Market by End Users/Application
1.4.1 Machine Translation
1.4.2 Automated Information Extraction
1.4.3 Report Generation
1.4.4 Predictive Risk Analytics
1.4.5 Others

Chapter Two: Global Natural Language Processing (NLP) in Healthcare and Life Sciences Competition Analysis by Players
2.1 Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size (Value) by Players (2016 and 2017)
2.2 Competitive Status and Trend
2.2.1 Market Concentration Rate
2.2.2 Product/Service Differences
2.2.3 New Entrants
2.2.4 The Technology Trends in Future

Chapter Three: Company (Top Players) Profiles
3.1 3M (Minnesota)
3.1.1 Company Profile
3.1.2 Main Business/Business Overview
3.1.3 Products, Services and Solutions
3.1.4 Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue (Value) (2012-2017)
3.1.5 Recent Developments
3.2 Cerner Corporation (Missouri)
3.2.1 Company Profile
3.2.2 Main Business/Business Overview
3.2.3 Products, Services and Solutions
3.2.4 Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue (Value) (2012-2017)
3.2.5 Recent Developments
3.3 IBM Corporation (New York)
3.3.1 Company Profile
3.3.2 Main Business/Business Overview
3.3.3 Products, Services and Solutions
3.3.4 Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue (Value) (2012-2017)
3.3.5 Recent Developments
3.4 Microsoft Corporation (Washington)
3.4.1 Company Profile
3.4.2 Main Business/Business Overview
3.4.3 Products, Services and Solutions
3.4.4 Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue (Value) (2012-2017)
3.4.5 Recent Developments
3.5 Nuance Communications (Massachusetts)
3.5.1 Company Profile
3.5.2 Main Business/Business Overview
3.5.3 Products, Services and Solutions
3.5.4 Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue (Value) (2012-2017)
3.5.5 Recent Developments
3.6 M*Modal (Tennessee)
3.6.1 Company Profile
3.6.2 Main Business/Business Overview
3.6.3 Products, Services and Solutions
3.6.4 Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue (Value) (2012-2017)
3.6.5 Recent Developments
3.7 Health Fidelity (California)
3.7.1 Company Profile
3.7.2 Main Business/Business Overview
3.7.3 Products, Services and Solutions
3.7.4 Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue (Value) (2012-2017)
3.7.5 Recent Developments
3.8 Dolbey Systems (Ohio)
3.8.1 Company Profile
3.8.2 Main Business/Business Overview
3.8.3 Products, Services and Solutions
3.8.4 Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue (Value) (2012-2017)
3.8.5 Recent Developments
3.9 Linguamatics (Cambridge)
3.9.1 Company Profile
3.9.2 Main Business/Business Overview
3.9.3 Products, Services and Solutions
3.9.4 Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue (Value) (2012-2017)
3.9.5 Recent Developments
3.10 Apixio (San Mateo)
3.10.1 Company Profile
3.10.2 Main Business/Business Overview
3.10.3 Products, Services and Solutions
3.10.4 Natural Language Processing (NLP) in Healthcare and Life Sciences Revenue (Value) (2012-2017)
3.10.5 Recent Developments

Chapter Four: Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size by Type and Application (2012-2017)
4.1 Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size by Type (2012-2017)
4.2 Global Natural Language Processing (NLP) in Healthcare and Life Sciences Market Size by Application (2012-2017)
4.3 Potential Application of Natural Language Processing (NLP) in Healthcare and Life Sciences in Future
4.4 Top Consumer/End Users of Natural Language Processing (NLP) in Healthcare and Life Sciences

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