Comprehensive Health Assessment Using Risk Prediction for Multiple Diseases Based on Health Checkup Data.

ABSTRACT:

Introduction

Tools developed to assess individuals' comprehensive health status would be beneficial for personalized prevention and treatment. This study aimed to develop a set of risk prediction models to estimate the risk for multiple diseases such as heart, blood vessel, brain, metabolic, liver, and kidney diseases using health checkup data only.

Methods

This is a retrospective study that used health checkup data combined with diagnostic information from electronic health records of Kurashiki Central Hospital in Okayama, Japan. All exposure factors were measured at the first health checkup visit, including demographic characteristics, laboratory test results, lifestyle questionnaires, medication use, and medical history. Primary outcomes were the diagnoses of 15 diseases

SUBMITTER: Yasuda K 

PROVIDER: S-EPMC11567062 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature