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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Code Effects is a powerful decision automation platform designed specifically for .NET applications. It provides a human-readable business rules engine that simplifies how organizations manage and execute complex business logic. Through its intuitive web-based rule editor, business users can create, edit, and maintain rules without relying on developers. The platform’s high-speed lambda expression engine ensures fast and reliable rule evaluation even at large scale. Code Effects supports reusable rules and flexible integrations with databases, APIs, and custom objects. Its modular design allows the rule editor and engine to run together or independently across systems. The solution eliminates the need for external rule services, keeping data and security fully in-house. With a perpetual licensing model, it offers long-term cost efficiency without recurring fees. Trusted by Fortune 500 companies and government agencies, Code Effects delivers enterprise-grade reliability. It transforms business logic into a manageable, scalable asset.

Description

SANCARE is an innovative start-up focused on applying Machine Learning techniques to hospital data. We partner with leading experts in the field to enhance our offerings. Our platform delivers an ergonomic and user-friendly interface to Medical Information Departments, facilitating quick adoption and usability. Users benefit from comprehensive access to all documents forming the electronic patient record, ensuring a seamless experience. As an effective production tool, our solution meticulously tracks each phase of the coding procedure for external validation. By leveraging machine learning, we can create robust predictive models that analyze vast data sets while considering contextual factors—capabilities that traditional rule-based systems and semantic analysis tools fall short of providing. This enables the automation of intricate decision-making processes and the identification of subtle signals that may go unnoticed by human analysts. The machine learning engine behind SANCARE is grounded in a probabilistic framework, allowing it to learn from a significant volume of examples to accurately predict the necessary codes without any explicit guidance. Ultimately, our technology not only streamlines coding tasks but also enhances the overall efficiency of healthcare data management.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

.NET Yes 

Integrations

.NET No 

Pricing Details

We offer multiple licenses including the Full Source and Distribution
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 Yes 
iPad App Yes 
Android App Yes 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook Yes 

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 No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Code Effects Software

Founded

2007

Country

United States

Website

codeeffects.com

Vendor Details

Company Name

SANCARE

Country

France

Website

www.sancare.fr/

Product Features

Business Rules Management Systems (BRMS)

Access Control / Permissions No 
Code Development Environment No 
Deploy Across Platforms No 
Flexible Hosting Options No 
Lifecycle Management No 
No Code Development No 
Simulation No 
Validation Tools No 

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

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