Digital Health Platform / HealthBee
Digital Health Platform (DHP) focus on expert services, provides the HealthBee Web and APP (iOS/Android) used by the client to fully aggregate user health data and conduct AI big data health risk assessment, and assist users with health-promoting life records, create a high-quality and efficient service platform, and unite service providers to form a healthy ecosystem.
HealthBee is a helper for clients' health. It establishes medical records, expert advice, self-assessment, Internet of Things, and genes to realize personal digital health avatars, assist in self-perspective and health awakening, and give trusted medical experts insight into the status of caregivers, do the right thing Judgment and precise disposal. In this compact and busy lifestyle, we continue to complement the health services people need to create healthy wealth Eden.
Medical Imaging Aided Disease Detection System
Advances in medical image detection technology have led to a multiplication of medical imaging information. In addition, medical awareness and health prevention awareness have risen, and a large number of medical image interpretation needs have emerged. However, the rise of artificial intelligence has led to a sharp decline in the number and willingness of radiologists to work. The lack of double-clamping undermines the burden on existing radiologists and places a heavy burden on the current medical system.
Deep learning and high-speed computing bring a new vision. In the artificial intelligence training and learning, the system provides optimized and easy-to-use data management system, advanced personal identification system, plus perfect label management process and tool interface, and Integrated artificial intelligence training and application platform provides space for personal intelligence and optimized learning.
Establishment of Chronic Disease Risk Model
According to the Global Cause of Death Survey performed by the WHO, about 70% of people die of chronic diseases. Currently, the global sub-health population accounts for 75% of the total population. Without proper control, sub-health will gradually turn into chronic diseases, which are fatal health killers. The purpose of the health risk assessment model developed in the past 50 years is to improve the public's understanding about self-morbidity rate. Since the establishment of the earliest Framingham score 1 (FRS), it has been revised and used until today. This score is based on age, gender, total cholesterol, high-density cholesterol (HDL-C), systolic blood pressure (SBP), and smoking behavior to predict the probability of suffering coronary heart disease in the next 10 years. However, research has found that such model is suitable for male, while it will overestimate the risk for female. Moreover, different ethnic groups will have different levels of risk. How to provide health promotion services and how to predict the risk of diseases for self-health management are important topics for future study.