How to Install and Uninstall python312-azure-healthinsights-clinicalmatching Package on openSuSE Tumbleweed

Last updated: December 29,2024

1. Install "python312-azure-healthinsights-clinicalmatching" package

Here is a brief guide to show you how to install python312-azure-healthinsights-clinicalmatching on openSuSE Tumbleweed


    
        
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                sudo zypper refresh
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo zypper install
            
                        
                python312-azure-healthinsights-clinicalmatching
            
                    
    
    Copied

2. Uninstall "python312-azure-healthinsights-clinicalmatching" package

Learn how to uninstall python312-azure-healthinsights-clinicalmatching on openSuSE Tumbleweed:


    
        
            $
        

        
            
                sudo zypper remove
            
                        
                python312-azure-healthinsights-clinicalmatching
            
                    
    
    Copied

3. Information about the python312-azure-healthinsights-clinicalmatching package on openSuSE Tumbleweed

Information for package python312-azure-healthinsights-clinicalmatching:
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Repository : openSUSE-Tumbleweed-Oss
Name : python312-azure-healthinsights-clinicalmatching
Version : 1.0.0~b1.post1-1.1
Arch : noarch
Vendor : openSUSE
Installed Size : 500.3 KiB
Installed : No
Status : not installed
Source package : python-azure-healthinsights-clinicalmatching-1.0.0~b1.post1-1.1.src
Upstream URL : https://github.com/Azure/azure-sdk-for-python/tree/main/sdk
Summary : Microsoft Azure Health Insights Clinical Matching Client Library for Python
Description :
Health Insights is an Azure Applied AI Service built with the Azure Cognitive
Services Framework, that leverages multiple Cognitive Services, Healthcare API
services and other Azure resources. The Clinical Matching model receives patients
data and clinical trials protocols, and provides relevant clinical trials based
on eligibility criteria.