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What is Nextnet?

Stop spending your valuable time navigating through countless databases or dealing with the complexities of various data formats and intricate queries. Instead, channel your energy into leveraging your intuition and expert knowledge to discover critical insights and follow captivating scientific avenues. We are excited to introduce Nextnet, an innovative digital platform that integrates the most recent breakthroughs in natural language processing, transparent artificial intelligence, software solutions, graph databases, and human-in-the-loop reinforcement learning to accelerate the pace of scientific research and development. Our mission is to compile the most comprehensive, human-curated dataset for reinforcement learning, aimed at exploring the relationships between scientific disciplines. With Sapiens’ integrated search interface, you can effortlessly tap into and connect with knowledge spread across diverse data sources. This not only enables you to search for well-known topics via a simple query but also allows you to delve into lesser-known subjects through our sophisticated conceptual search within an enduring knowledge network. By making use of these advanced tools, researchers can significantly boost their comprehension and foster innovation like never before, empowering them to make groundbreaking discoveries. Through collaboration and the sharing of insights, the potential for scientific advancement is limitless.

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
Liberate

Integrations Supported

AWS AI Services
AWS App Mesh
Amazon Comprehend
Liberate

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

Nextnet

Company Location

United States

Company Website

getnextnet.com/product/

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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