Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Utilize natural language processing to derive insights from unstructured text without needing machine learning expertise, leveraging a suite of features from Cognitive Service for Language. Enhance your comprehension of customer sentiments through sentiment analysis and pinpoint significant phrases and entities, including individuals, locations, and organizations, to identify prevalent themes and trends. Categorize medical terminology with specialized, pretrained models tailored for specific domains. Assess text in numerous languages and uncover vital concepts within the content, such as key phrases and named entities encompassing people, events, and organizations. Investigate customer feedback regarding your brand while analyzing sentiments related to particular subjects through opinion mining. Moreover, extract valuable insights from unstructured clinical documents like doctors' notes, electronic health records, and patient intake forms by employing text analytics designed for healthcare applications, ultimately improving patient care and decision-making processes.
Description
We collect and examine information from various sources, including socioeconomic factors, electronic health records, and biological samples such as breath, blood, saliva, stool, urine, DNA, sweat, hair, and vital signs. This health information holds numerous insights about your well-being. Thanks to recent developments in artificial intelligence, machine learning, and powerful computing capabilities, we can integrate data from different origins, giving your physician a thorough understanding of your health risk factors. Our models undergo continuous retraining using anonymized health information securely linked to our database. Utilizing large data sets enhances the precision of our data models, significantly improving AI's ability to identify health risks earlier than conventional approaches, which could be life-saving. While most physicians focus primarily on diagnosing existing conditions, our machine-learning models emphasize prevention and risk evaluation, ensuring a proactive approach to healthcare. This shift in focus allows us to address potential health issues before they develop into more serious concerns.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Azure Marketplace
No
TAS Insight Engine
No
Unremot
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/services/cognitive-services/text-analytics/
Vendor Details
Company Name
Deepbody Analytica
Website
deepbody.me/
Product Features
Natural Language Processing
Co-Reference Resolution
Yes
In-Database Text Analytics
Yes
Named Entity Recognition
Yes
Natural Language Generation (NLG)
Yes
Open Source Integrations
Yes
Parsing
No
Part-of-Speech Tagging
Yes
Sentence Segmentation
Yes
Stemming/Lemmatization
Yes
Tokenization
No