Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Amazon Comprehend Medical is a natural language processing (NLP) service compliant with HIPAA that leverages machine learning to retrieve health information from medical texts without requiring any prior machine learning expertise. A significant portion of health data exists in unstructured formats such as physician notes, clinical trial documentation, and patient medical records. The traditional approach of manually extracting this data is labor-intensive and inefficient, while automated methods based on strict rules often overlook crucial contextual details, leading to incomplete data capture. Consequently, this limitation results in valuable information remaining untapped for large-scale analytical efforts that are essential for progressing the healthcare and life sciences sectors, ultimately impacting patient care and operational efficiencies. By addressing these challenges, Amazon Comprehend Medical enables healthcare professionals to harness their data more effectively for better decision-making and innovation.
Description
Effortlessly query, explore, and share your data with Askdata, the pioneering platform designed to make data interaction seamless. You can connect all your data simply by clicking the "+" icon located in the upper right corner. Gather the findings from your analyses in user-friendly data cards, which can be enhanced with charts, images, and customized content before sharing them via the web, chat, and various applications. To create a tailored data experience, we harness all your current data and analytics platforms, enabling insights and interactions through natural language and proactive suggestions. Users can easily address any data inquiries with just a straightforward search. With Askdata's advanced natural language querying technology, users can instantaneously ask questions about their linked data without requiring any prior training. Our unique Human2SQL algorithm continuously improves with each search, ensuring a better experience. Additionally, Askdata incorporates state-of-the-art AI and knowledge graph methodologies to help users uncover pertinent content that is systematically organized within data cards, enhancing the overall data exploration journey. Ultimately, this platform transforms the way users perceive and interact with their data, making it accessible and actionable.
API Access
Has API
Yes
API Access
Has API
No
Integrations
AWS AI Services
Yes
AWS App Mesh
Yes
Amazon Comprehend
Yes
Azure Marketplace
No
Google Analytics
No
Google Sheets
No
LeasePlan
No
Looker
No
Microsoft Excel
No
MySQL
No
Integrations
AWS AI Services
No
AWS App Mesh
No
Amazon Comprehend
No
Azure Marketplace
Yes
Google Analytics
Yes
Google Sheets
Yes
LeasePlan
Yes
Looker
Yes
Microsoft Excel
Yes
MySQL
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
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
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
Yes
iPad App
Yes
Android App
Yes
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
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
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/comprehend/medical/
Vendor Details
Company Name
Askdata
Country
United States
Website
www.askdata.com/new-home
Product Features
Data Extraction
Disparate Data Collection
No
Document Extraction
No
Email Address Extraction
No
IP Address Extraction
No
Image Extraction
No
Phone Number Extraction
No
Pricing Extraction
No
Web Data Extraction
No
Natural Language Processing
Co-Reference Resolution
No
In-Database Text Analytics
No
Named Entity Recognition
No
Natural Language Generation (NLG)
No
Open Source Integrations
No
Parsing
No
Part-of-Speech Tagging
No
Sentence Segmentation
No
Stemming/Lemmatization
No
Tokenization
No
Product Features
Natural Language Processing
Co-Reference Resolution
No
In-Database Text Analytics
No
Named Entity Recognition
No
Natural Language Generation (NLG)
No
Open Source Integrations
No
Parsing
No
Part-of-Speech Tagging
No
Sentence Segmentation
No
Stemming/Lemmatization
No
Tokenization
No