Tokyo, Aug. 25 -- UMIN Clinical Trials Registry (UMIN-CTR) received information related to the study (UMIN000062622) titled 'Development of an AI- and Machine Learning-Based Prediction Model for the Effectiveness of Specific Health Guidance' on Aug. 25.
Study Type:
Observational
Primary Sponsor:
Institute - National Hospital Organization Kyoto Medical Center
Condition:
Condition - Adult
Classification by malignancy - Others
Genomic information - NO
Objective:
Narrative objectives1 - This study aimed to develop an AI- and machine learning-based prediction model for the effectiveness of specific health guidance using health checkup data, the Standardized Questionnaire, and specific health guidance-related information from individuals eligible for specific health guidance.
Basic objectives2 - Efficacy
Eligibility:
Age-lower limit - 40
years-old
=
Gender - Male and Female
Key inclusion criteria - Individuals who underwent a specific health checkup at the Kyoto Preventive Medical Center.
Aged 40-74 years.
Key exclusion criteria - Individuals younger than 40 years or aged 75 years or older.
Target Size - 10000
Recruitment Status:
Recruitment status - Preinitiation
Date of protocol fixation - 2026 Year 08 Month 17 Day
Date of IRB - 2026 Year 08 Month 17 Day
Anticipated trial start date - 2026 Year 08 Month 17 Day
Last follow-up date - 2028 Year 03 Month 31 Day
To know more, visit https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000071484
Disclaimer: Curated by HT Syndication.
