Karmegam Dhivya, Prakash Muthuperumal, Karikalan N, Mappillairajan Bagavandas
School of Public Health, SRM University, Kattankulathur 603 203, Kancheepuram District, Tamil Nadu, India.
National Institute for Research in Tuberculosis, Chetpet, Chennai 600 031, Tamil Nadu, India.
Dialogues Health. 2022 May 5;1:100008. doi: 10.1016/j.dialog.2022.100008. eCollection 2022 Dec.
Siddha Medicine system is one among the oldest traditional systems of medicines in India and has its entire literature in the Tamil language in the form of poems ( in tamil). Even if the siddha poems are available in public domain, they are not known to other parts of the world because, researchers of other languages are not able to understand the contents of these poems and there exists a language barrier. Hence there is a need to develop a system to extract structured information from these texts to facilitate searching, comparing, analysis and implementing.
This study aimed at creating a comprehensive digital database system that systematically stores information from classical Siddha poems and to develop a web portal to facilitate information retrieval for comparative and logical analysis of Siddha content.
We developed an expert system for siddha (eSS) that can collect, annotate classical siddha text, and visualizes the pattern in siddha medical prescriptions (Siddha Formulations) that can be useful for exploration in this system using modern techniques like machine learning and artificial learning. eSS has the following three aspects: (1) extracting data from classical text (2) defining the annotation method and (3) visualizing the patterns in the medical prescriptions based on multiple factors mentioned in the Siddha system of medicine. The data from three books were extracted, annotated and integrated into the developed eSS database. The annotations were used for analyzing the pattern in the drug prescriptions as a pilot work.
Overall, 110 medicinal preparations from 2 () were extracted and annotated. The generated annotations were indexed into the data repository created in eSS. The system can compare and visualize individual and multiple prescriptions to generate a hypothesis for siddha practitioners and researchers.
We propose an eSS framework using standard siddha terminologies created by WHO to have a standard expert system for siddha. This proof-of-concept work demonstrated that the database can effectively process and visualize data from siddha formulations which can help students, researchers from siddha and other various fields to expand their research in herbal medicines.
悉达医学体系是印度最古老的传统医学体系之一，其所有文献均以泰米尔语诗歌的形式呈现。即便悉达诗歌已公开，但世界其他地区却并不知晓，原因在于其他语言的研究者无法理解这些诗歌的内容，存在语言障碍。因此，需要开发一个系统来从这些文本中提取结构化信息，以促进搜索、比较、分析和应用。
本研究旨在创建一个全面的数字数据库系统，系统地存储古典悉达诗歌中的信息，并开发一个网络门户，以便于检索信息，用于悉达内容的比较和逻辑分析。
我们开发了一个悉达专家系统（eSS），它可以收集、注释古典悉达文本，并可视化悉达医学处方（悉达配方）中的模式，这对于使用机器学习和人工智能等现代技术在该系统中进行探索很有用。eSS有以下三个方面：（1）从古典文本中提取数据；（2）定义注释方法；（3）根据悉达医学体系中提到的多个因素可视化医学处方中的模式。从三本书中提取数据、进行注释并整合到已开发的eSS数据库中。这些注释被用作分析药物处方模式的试点工作。
总体而言，从2本（此处原文括号内容不完整）中提取并注释了110种药用制剂。生成的注释被编入在eSS中创建的数据存储库。该系统可以比较和可视化单个及多个处方，为悉达从业者和研究人员生成假设。
我们提出了一个使用世界卫生组织创建的标准悉达术语的eSS框架，以拥有一个标准的悉达专家系统。这个概念验证工作表明，该数据库可以有效地处理和可视化悉达配方中的数据，这有助于悉达及其他各个领域的学生和研究人员扩展他们在草药方面的研究。
