Publications by authors named "Shinpei Nakamura"
Article Synopsis
- Guidelines suggest using risk scores to identify very-low-risk patients with gastrointestinal bleeding (GIB) for possible discharge from emergency departments.
- A new machine learning model was developed and tested against existing scores (Glasgow-Blatchford and Oakland) using data from nearly 3,500 patients across different hospitals.
- Results showed the machine learning model performed better in predicting very-low-risk patients, successfully identifying a higher percentage compared to the existing risk scores.
A microscopic chromatography has been developed where nanometer-size molecules or particles are separated according to their size by the laser-induced shockwave in a water-filled capillary. As the shockwave passed through the mixture of molecules/particles in solution, they move to the direction of the propagation of the shockwave. The distance from the point of shockwave generation depends on the particle size or molecular weight.
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