Biovarase has been updated to version 2, The project has been migrated from python 2.7 to python 3.5
Biovarase is an application to manage clinical quality control data. The purpose of Quality Control Assurance in a clinical laboratory is to allow the control of the performances of an analytical procedure showing an alarm as soon as the trial doesn't result in the degree to respect the defined analytical rules. Biovarase furthermore calculates the classical statistical parameters for the quality control assurance ,e.g. sd, cv%, avg, and even the Imp(%), Bias(%) and TEa (total allowable error) using data retrived from: Current databases on biologic variation: pros, cons and progress Scand J Clin Lab Invest 1999;59:491-500. updated with the most recent specifications made available in 2014. It uses even the famous Westgard's rules to monitor results dataset. All the data are managed by SQLite database and matplotlib. To show levey jennings graph, in the main windows select a test and choose the relative batch. To deactivate/activate a result make double click on it. To insert, update or delete a batch or a result open from File/Batchs and results. To export data to a temp excel file click on File/Export. Biovarase requires Python 3 Biovarase use Tkinter and matplotlib All source code on https://github.com/1966bc/Biovarase I'made it for fun :(. I would appreciate any suggestions you might have. regards beppe -- https://mail.python.org/mailman/listinfo/python-list
