Recently, chronic diseases such as diabetes and hypertension are increasing. As chronic diseases develop gradually and have long-term impact, it is important not only "to treat and cure," but also "to monitor the disease an extended amount of time." However, the prolonged treatment period and gradual changes in symptoms make it difficult to predict the course of the disease. Therefore, Intelligent Systems Laboratory is working on research that uses information processing technology to predict disease progression.
If prediction becomes possible, it becomes possible to know when and what kind of symptoms will occur, enabling timely treatments with the correct specialist. It is necessary to analyze medical information in detail for progression prediction. However, with systemic diseases such as diabetes and kidney disease, a patient may have to visit multiple specialists. Since the information pertaining to treatment is divided, it becomes difficult for doctors to grasp the whole picture.
So technology to summarizing medical information is key. This allows the integration of information from multiple medical departments, facilities and home checks, with the patient at the center. This allows the doctor to look over the information about the patient, which helps in understanding the state and progression of the disease.