Laboratory medicine for diagnosis and treatment of suboptimal health: The Prospect
10.16781/j.0258-879x.2019.07.0705705
- Author:
Jie JING
1
Author Information
1. Department of Laboratory Medicine, Changhai Hospital, Naval Medical University (Second Military Medical University)
- Publication Type:Journal Article
- Keywords:
Artificial intelligence;
Big data;
Laboratory medicine;
Machine learning;
suboptimal health
- From:
Academic Journal of Second Military Medical University
2019;40(7):705-709
- CountryChina
- Language:Chinese
-
Abstract:
Increasingly more people are in a state between health and disease due to different life styles, which modern medicine calls “suboptimal health”. If the suboptimal health state lasts too long and not interfered in time, it will eventually progress to disease. Early identification of suboptimal health status and early intervention are important for preventing diseases and restoring a healthy state. There are many ways for detecting suboptimal health. A more objective method to diagnose suboptimal health status is by experimental indicators of laboratory medicine. However, there are difficulties in establishing the parameters and reference value ranges in laboratory detection of suboptimal health, and laboratory medicine needs to combine big data analysis and machine learning to make a scientific evaluation of suboptimal health status.
