Foundation AI Presents Paper on Automated ICD-10 Coding at FICC Conference

 
Foundation AI Research Scientist Sheikh Shams Azam presents his paper at FICC 2019.

Foundation AI Research Scientist Sheikh Shams Azam presents his paper at FICC 2019.

San Francisco, California, Mar. 15, 2019 – Foundation AI Research Scientist Sheikh Shams Azam presented CASCADENET: An LSTM Based Deep Learning Model for Automated ICD-10 Coding at the Future of Information and Communication Conference (FICC) 2019. The paper was co-written with Foundation AI Senior Research Associate Manoj Raju, Chief Data Scientist Venkatesh Pagidimarri, and Chief Solution Architect Vamsi Kasivajjala.

The paper details a deep learning based approach to automate ICD-10 coding. Currently, in the healthcare provider space, medical coders translate healthcare diagnoses, procedures, medical services, and equipment into universal medical alphanumeric codes (ICD-10). These codes are used globally by medical providers and insurance companies for billing purposes. CASCADENET is an LSTM-based solution that can parse unstructured documents like discharge summaries, medical charts, and procedure notes to identify the correct medical codes to be applied.

The Future of Information and Communication Conference 2019 was held in San Francisco on March 14 and 15. The conference aims to provide a forum for researchers from both academia and industry to share their latest research contributions, future vision in the field, and potential impact across industries. The conference features paper presentations, poster presentations, tutorials, project demonstrations, as well as keynote speeches by renowned technology experts and authorities. It focuses on highlighting discovery, progress, and achievements related to Communication, Data Science, Computing and Internet of Things.

Foundation AI is committed to advancing the fields of AI and data science through research. AI has the potential to dramatically reshape industries like healthcare and insurance, however it is only through collaboration that this potential can be realized.

The paper was published in Advances in Information and Communication, Proceedings of the 2019 Future of Information and Communication Conference (FICC), Volume 2 and can be accessed here.

The agenda for FICC 2019 along with a list of other papers presented at the conference can be accessed here.

Shams regularly posts his thoughts about data science and machine learning on his personal blog called Machine Learning Medium.

About Foundation AI: Foundation AI is a full-service AI development studio. We leverage our product development expertise, our team of data scientists and engineers, and our proprietary CogNative AI™ Platform to efficiently build and operationalize custom solutions to business challenges. We can help firms determine their AI strategy, develop and implement their AI roadmap, build them an end-to-end product or an AI-native API to integrate with their existing software, or supplement their existing development team with expert data scientists and AI/ML engineers.

About FICC: The Future of Information and Communication Conference is part of the SAI Conferences, a group of annual conferences produced by The Science and Information (SAI) Organization, based in the United Kingdom. Previous conferences include Future Technologies Conference (FTC) in San Francisco, Intelligent Systems Conference (IntelliSys) in London and Computing Conference in London.

 
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