Clinion AI uses deep learning NLP models to automate the coding of adverse events and concomitant medications. The AI Medical Coding algorithm has been trained on millions of biomedical terms for medical context learning using machine learning models. MedDRA dictionaries are encoded and integrated into the model. Adverse event terms entered into #ClinionEDC are matched by the ML algorithm to #MedDRA dictionary terms and results are displayed with their associated confidence values. Users can choose the best fit.
ClinionAI uses Deep Learning NLP models to automate the coding of Adverse Events and Concomitant Medication. The AI Medical Coding algorithm has been trained on millions of biomedical terms for medical context learning using machine learning models. MedDRA dictionaries are encoded and embedded in the model. Adverse event terms entered into Clinion EDC are matched with the MedDRA dictionary terms by the ML Algorithm and results with associated confidence scores are displayed. Users can choose the best fit!
Are you also curious about our new Clinion EDC v3.5? We are excited to interact and provide a live demonstration of our advanced and improved EDC v3.5. Major Features on the way: ► CRF Versioning ► Local Labs ► Visit Scheduler ► eCRF Locks ► Reports Generator and Scheduling ► New Dashboards Experience the improved and fast-loading Dashboards with subject link performance improvements. Meet us at SCDM India Conference, in Bangalore on December 2nd and 3rd for a live demonstration and to discuss the possibilities.
Clinion Electronic Data Capture system uses AI and Automation to improve and Manage Clinical Data Management and data quality for better trial execution
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