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

Last updated: October 04,2024

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

This tutorial shows how to install python312-azure-healthinsights-cancerprofiling on openSuSE Tumbleweed


    
        
            $
        

        
            
                sudo zypper refresh
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo zypper install
            
                        
                python312-azure-healthinsights-cancerprofiling
            
                    
    
    Copied

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

Please follow the steps below to uninstall python312-azure-healthinsights-cancerprofiling on openSuSE Tumbleweed:


    
        
            $
        

        
            
                sudo zypper remove
            
                        
                python312-azure-healthinsights-cancerprofiling
            
                    
    
    Copied

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

Information for package python312-azure-healthinsights-cancerprofiling:
-----------------------------------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python312-azure-healthinsights-cancerprofiling
Version : 1.0.0~b1.post1-1.1
Arch : noarch
Vendor : openSUSE
Installed Size : 436.2 KiB
Installed : No
Status : not installed
Source package : python-azure-healthinsights-cancerprofiling-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 Cancer Profiling 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 Cancer Profiling model receives clinical records of oncology patients and
outputs cancer staging, such as clinical stage TNM categories and pathologic
stage TNM categories as well as tumor site, histology.