Latest Report Available at Orbis research Natural Language Processing (NLP) in Healthcare and Life Sciences Market provides pin-point analysis for changing competitive dynamics and a forward looking perspective on different factors driving or restraining industry growth.
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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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