APPLYING THE HYBRID MODEL OF Q-METHODOLOGY AND KANSEI ENGINEERING IN IDENTIFICATION OF CUSTOMER REQUESTS AND GROUPING THEM

Applying the Hybrid Model of Q-Methodology and Kansei Engineering in Identification of Customer Requests and Grouping Them

Kansei engineering or emotion engineering is one of effective means to identify the emotional needs of the users.In this research, a different tool in identification and classification of emotional terms for Kansei engineering is used, named as Q methodology.Since we face with a qualitative issue in the incidence of emotions in Kansei engineering,

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Machine learning-based identification of colorectal advanced adenoma using clinical and laboratory data: a phase I exploratory study in accordance with updated World Endoscopy Organization guidelines for noninvasive colorectal cancer screening tests

ObjectiveThe recent World Endoscopy Organization (WEO) guidelines now recognize precursor lesions of colorectal cancer (CRC) as legitimate screening targets.However, an optimal screening method for detecting advanced adenoma (AA), a significant precursor lesion, remains elusive.MethodsWe employed five machine learning methods, using clinical and la

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Chinese Herbal Medicine to Reduce Radiation-Induced Oral Mucositis in Head and Neck Cancer Patients: Evidence From Population-Based Health Claims

Background: Subjects with Eau de Parfum head and neck cancer (HNC) often experience post-treatment side effects, particularly radiation-induced oral mucositis (RIOM).This study aimed to explore the association of Chinese herbal medicine use with the sequent risk of RIOM among them.Methods: This cohort study used a nationwide health insurance databa

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