Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

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 

Screenshots View All

Screenshots View All

Integrations

Azure Marketplace Yes 
TAS Insight Engine Yes 
Unremot Yes 

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 

Product Features

Alternatives

Alternatives