XU Jiajun, LUO Zhiming, ZHAO Wen, et al. Rules of Traditional Chinese Medicine State Identification Based on Artificial Intelligence Algorithm[J]. Journal of Traditional Chinese Medicine2020, 61(3): 204-208.
XU Jiajun, LUO Zhiming, ZHAO Wen, et al. Rules of Traditional Chinese Medicine State Identification Based on Artificial Intelligence Algorithm[J]. Journal of Traditional Chinese Medicine2020, 61(3): 204-208.DOI: 10.13288/j.11-2166/r.2020.03.006.
The research on objectification traditional Chinese medicine( TCM) diagnostic method technology is an important way and necessary stage to realize the modernization and intelligent development of TCM. The concept of disease position
disease nature
and "syndrome-syndrome elements"in syndrome element differentiation has promoted the digitalized development of TCM diagnostics. The emergence of state identification theory has further improved the objective
comprehensive and dynamic TCM evaluation system for human body factors
making TCM diagnostics gradually objective development. The author put forward seven rules including around the threshold of factors
metaism
common direction of accompanying representation
adjusting measures to three factors
attached importance to differentiating disease
strenthening primary syndromes
and severe disease
and strenthening differentiating pathogenesis. With the aid of artificial intelligence algorithms to achieve transformation of these rules
the accuracy and objectification of TCM diagnostic and syndrome will be improved.