A Korean R&D institute specialized in a time series data-based deep learning AI technology for prediction of future health condition wishes to expand its overseas market through license agreement and others. The technology takes large-scale EMR(Electronic Medical Record) data in a time series with complex features as input to learn deep learning prediction models and outputs the future health condition. Any international hospitals/institutes in need of such a technology can be potential clients.
Today, finding an information on patient’s future health condition in early stage is very important to diagnosis or makes a plan for treatment. In addition, the digitalization of medical record has provided an environment that the patient’s health status information from the past to the present is stored in EMR (Electronic Medical Record). With that, the development of machine learning technology (deep learning) enables an analysis of large-scale EMR data to obtain a meaningful result. In this regard, a technology based on a time series EMR data to predict the future health condition is highly needed. As EMR data records data on patient’s actual visit, it has complicated feature due to the irregular visit of each patient. To solve this problem, a technology considering irregularity in time series and feature complexity of EMR data has been developed through a renowned Korean R&D Institute. This technology takes large-scale EMR (Electronic Medical Record) data in a time series with complex features as input to learn deep learning prediction models and outputs the future health condition. The technology can be utilized not only to medical data but also similar kinds of time series-based data for classification and prediction. The preventive medicine related market is expected to be expanded along with the increase of artificial intelligence (AI)-based clinical decision support system and healthcare market. Especially, the technology can be applied to the future health condition prediction system for cardiovascular disease and research for distinction and prediction based on an irregular time series data. In this regard, a research institute or a hospital wish to apply health prediction systems utilizing this technology can be a main potential partner under license agreement, technical cooperation, research cooperation and commercial agreement with technical assistance.
Type (e.g. company, R&D institution…), field of industry and Role of Partner Sought:
The technology can contribute to the clinical decision by predicting future health conditions through deep learning model. The potential partner can be local hospitals with systems available to apply the technology or research institutes wish or plan to proceed distinction and prediction research based on irregular time series data under license agreement, technical cooperation, research cooperation and commercial agreement with technical assistance.
Stage of Development:
Prototype available for demonstration
Secret Know-how,Patents granted
Comments Regarding IPR Status:
1) TIME SERIES DATA PROCESSING DEVICE AND OPERATING METHOD THEREOF / South Korea / 2018