Evidence map›Paper›PMID 38515917›Full record

ArticleDialogues in health2022

Development of database structure and indexing for siddha medicine system - A platform for siddha literature analytics.

Dhivya Karmegam, Muthuperumal Prakash, N Karikalan, Bagavandas Mappillairajan

Open access · goldAbstract read
In one paragraph

Article in Dialogues in health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.2field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Dhivya KarmegamSchool of Public Health, SRM University, Kattankulathur 603 203, Kancheepuram District, Tamil Nadu, India.
Muthuperumal PrakashSchool of Public Health, SRM University, Kattankulathur 603 203, Kancheepuram District, Tamil Nadu, India.
N KarikalanNational Institute for Research in Tuberculosis, Chetpet, Chennai 600 031, Tamil Nadu, India.
Bagavandas MappillairajanCentre for statistics, SRM University, Kattankulathur 603 203, Kancheepuram District, Tamil Nadu, India.
SRM Institute of Science and Technology · INNational Institute of Research in Tuberculosis · INSRM University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: 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 ( Objective: 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. Methods: 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 Results: Overall, 110 medicinal preparations from 2 Conclusions: 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.

Indexed as

Database management systemMachine learningMySQL workbenchSiddhaTraditional medicine

Identifiers

PMID38515917
PMCPMC10953876
OpenAlexW4229020439

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.