Ryosuke Miyaji

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This paper presents a new method for evaluating tooth brushing performance using audio collected from a smartphone. To do this, we use hidden Markov models (HMMs) to recognize audio data that include various types of tooth brushing actions, such as <i>brushing the outer surface of the front teeth</i> and <i>brushing the inner surface of the back teeth</i>.(More)
BACKGROUND Several studies have suggested that Langerhans cell histiocytosis (LCH) is responsive to treatment with bisphosphonates (BPs). However the efficacy and safety of BPs therapy for childhood LCH is unknown. PROCEDURE Data on children with LCH who had received BPs therapy were collected retrospectively from hospitals participating in the Japanese(More)
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