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CLAMP Reviews & Product Details

CLAMP Overview

What is CLAMP?

CLAMP is a comprehensive clinical Natural Language Processing (NLP) software that enables recognition and automatic encoding of clinical information in narrative patient reports.

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Product Description

CLAMP is a comprehensive clinical Natural Language Processing (NLP) software that enables recognition and automatic encoding of clinical information in narrative patient reports.


Seller Details
Description

Melax Technologies Inc is a company that specializes in healthcare data analytics, offering advanced solutions for natural language processing (NLP) and machine learning to enhance medical data interpretation and utilization. The firm's innovative tools are designed to improve patient outcomes by efficiently analyzing unstructured data from electronic health records and other sources. Their services support clinical decision-making, research processes, and operational efficiencies within the healthcare sector.


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Recent CLAMP Reviews

VZ
Vivienne Z.Enterprise (> 1000 emp.)
5.0 out of 5
"A perfect and exact NLP software I have been looking for many years for my reseach. "
1)NLP components well-suited for clinical tasks 2) User friendly interface for developing customized NLP pipelines, very easy to use and flexible...

CLAMP Media

CLAMP Demo - Corpus management and annotation tool
The CLAMP annotation module enables you to annotate customized entities and specify relations between them in your desired corpus . These annotations enable you to assign additional clinical information to a selected text and develop an annotated corpus that’s more suitable to the specific task t...
CLAMP Demo - NLP Pipelines
CLAMP components builds on a set of high performance NLP components that were proven in several clinical NLP challenges such as i2b2 , ShARe/CLEF , and SemEVAL. A pipeline can be created and customized by a simple drag and drop on the individual CLAMP components in the order that is desired.
CLAMP Demo - Machine learning model development
Clamp enables you to build your own machine learning model based on a corpus that you have already annotated or a pre-annotated one that you have imported into a corpus annotation project. The model can be used for predictions on new files. In the current version of Clamp, both traditional CRF (C...
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1 CLAMP Reviews

5.0 out of 5
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1 CLAMP Reviews
5.0 out of 5
1 CLAMP Reviews
5.0 out of 5
G2 reviews are authentic and verified.
VZ
Assisstant Professor
Enterprise(> 1000 emp.)
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Review source: Organic
Rating Updated ()
What do you like best about CLAMP?

1)NLP components well-suited for clinical tasks

2) User friendly interface for developing customized NLP pipelines, very easy to use and flexible;

3) Newer NLP approaches besides rule-based: machine learning and deep learning

4) User friendly interface for chart view and annotations

5) UMLS concept mapping and encoding

6) Database connection makes NLP and post-NLP tasks very efficient

7) Easy integration with EHR

8)Suitable for both research and operational purposes

9) Large number of current users which makes collaborations a lot easier

10) Very generous contributions to academic settings

11) Supportive consultation and trouble shooting

Review collected by and hosted on G2.com.

What do you dislike about CLAMP?

Some learning curve for Ruta rule, but it is very easy to catch up. Review collected by and hosted on G2.com.

Recommendations to others considering CLAMP:

Highly recommend! Review collected by and hosted on G2.com.

What problems is CLAMP solving and how is that benefiting you?

I use CLAMP for multiple NIH funded studies, mostly for clinical decision support system for complicated healthcare issues. I realized that CLAMP is "The One" that fulfills the requirements for health informatics approaches our team are developing. Review collected by and hosted on G2.com.

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