发明名称 |
AI for relating herbal ingredients to illnesses classified in traditional chinese medicine/TCM using probabilities and a relevance index |
摘要 |
Described herein are systems and methods for identifying herbal ingredients effective in treating illnesses in Traditional Chinese Medicine (TCM) using an artificial neural network. |
申请公布号 |
US9275327(B2) |
申请公布日期 |
2016.03.01 |
申请号 |
US201113807576 |
申请日期 |
2011.07.28 |
申请人 |
HERBMINERS INFORMATICS LIMITED |
发明人 |
Lin Wilfred Wan Kei;Wong Jackei Ho Kei;Wong Allan Kang Ying |
分类号 |
G06F17/00;G06N3/02;G06F19/00;G06F19/18 |
主分类号 |
G06F17/00 |
代理机构 |
Saliwanchik, lloyd & Eisenschenk |
代理人 |
Saliwanchik, lloyd & Eisenschenk |
主权项 |
1. A system for identifying at least one herbal ingredient effective in treating an illness classified under TCM (Traditional Chinese Medicine) comprising:
one or more computer readable storage media; program instructions for a relevance index program module stored on the one or more computer readable storage media that, when executed by a processor, direct the processor to:
construct TCM illness entity artificial neural networks from a plurality of TCM illness entities, wherein each TCM illness entity artificial neural network identifies a single TCM illness entity, wherein each TCM illness entity artificial neural network computes a relevance index indicating a probability of intersection between the single TCM illness entity and a selected one or more TCM herbal ingredient entities;construct TCM herbal ingredient entity artificial neural networks from a plurality of TCM herbal ingredient entities, wherein each TCM herbal ingredient entity artificial neural network identifies a single TCM herbal ingredient entity, wherein each TCM herbal ingredient entity artificial neural network computes a relevance index indicating a probability of intersection between the single TCM herbal ingredient entity and a selected one or more TCM illness entities;train the TCM illness entity artificial neural networks and the TCM herbal ingredient entity artificial neural networks from a first training dataset, comprising the plurality of TCM illness entities and one or more illness-associated-symptoms for each TCM illness entity of the plurality of TCM illness entities, and a second training dataset, comprising the plurality of TCM herbal ingredient entities and one or more ingredient-effective-symptoms for each TCM herbal ingredient entity of the plurality of TCM herbal ingredient entities;in response to receiving an indication of a referential entity selected from the plurality of TCM illness entities:
computing relevance indexes for the referential entity using the TCM herbal ingredient entity artificial neural networks; andidentifying at least one effective TCM herbal ingredient entity from the relevance indexes. |
地址 |
Hong Kong CN |