ISSN 2063-5346
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A qualitative and quantitative predicting AI tool to consolidate early signs and symptoms of medical devices and set triage based priority

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1Dr. Sheethal Kalmadka, 2Dr. Smit Thakkar, 3Dr. Rhea Benny Kanate, 4Dr. Damandeep Kaur Mander, 5Pantula Sumiran, 6Dr. Sriram Choudary Nuthalapati
» doi: 10.31838/ecb/2023.12.Si9.265


Objective: By combining early warning indications and symptoms, this research study intends to develop and assess an AI-based tool for forecasting medical device faults. To analyse both structured and unstructured data, the tool uses a hybrid approach that combines machine learning and natural language processing (NLP) methods

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