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What is DeepAffex?

Our cutting-edge emotional AI platform, DeepAffex, detects, measures, and interprets human emotions expressed through both physiological and psychological indicators. This cloud-hosted solution employs advanced machine learning algorithms to seamlessly process these emotional data, ensuring all computations are efficiently managed within the cloud infrastructure. Developers can leverage our SDK/API to create tailored applications or software solutions, allowing them to access measurement results from the DeepAffex cloud service across multiple devices like smartphones, tablets, computers, kiosks, and web browsers. Furthermore, the process of receiving updates from our cloud service is simple and efficient, enabling users to easily expand their features with new measurement capabilities. The DeepAffex dashboard functions as a web-based management tool specifically crafted for developers and system administrators, offering a secure platform for authorized users to monitor their organization's private accounts within the DeepAffex cloud. With its intuitive design, DeepAffex strives to simplify the integration of affective analysis into diverse applications, promoting a higher level of emotional intelligence in technology. This seamless approach not only enhances user experience but also encourages innovation in the field of emotional AI.

What is Amazon Comprehend Medical?

Amazon Comprehend Medical is an NLP service designed to adhere to HIPAA standards, employing machine learning to extract health information from medical documents without necessitating any prior expertise in machine learning from its users. A vast amount of healthcare data is found in unstructured formats, such as physicians' notes, clinical trial reports, and patient histories. Relying on traditional, manual methods for data extraction is not only time-consuming but also prone to errors, as rule-based automation often fails to capture essential contextual details, resulting in incomplete data retrieval. This lack of reliability can significantly undermine the effectiveness of large-scale analytics, which are critical for advancements in the healthcare and life sciences industries, ultimately impeding potential enhancements in patient care and operational effectiveness. By utilizing this sophisticated service, healthcare organizations can gain invaluable insights and improve their decision-making capabilities, ultimately leading to better outcomes for patients. This transformative approach represents a significant leap forward in how health data can be leveraged for greater efficiency and efficacy in medical practices.

Media

Media

Integrations Supported

AWS AI Services
AWS App Mesh
Amazon Comprehend

Integrations Supported

AWS AI Services
AWS App Mesh
Amazon Comprehend

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

NuraLogix

Company Location

Canada

Company Website

nuralogix.ai/deep-affex/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/comprehend/medical/

Categories and Features

Categories and Features

Data Extraction

Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

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

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