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
API Access
Has API
Integrations
Azure Marketplace
TAS Insight Engine
Unremot
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
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
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization