Kernel Metadata Declaration — on demand
ISO 26324 asks a DOI Registration Agency to produce a Kernel Metadata Declaration for every DOI it issues. Give any DOI: its public record becomes a record in the Smart Scholars DOI Metadata Format 1.0, checked against every rule, and declared as the Kernel XML.
✓ Meets every rule of the format
The record below is complete and every controlled value is a DOI Attribute Value Set 2.3 spelling. The Declaration on the right follows DOIMetadataKernel.xsd element by element.
What the DOI identifies
Prediction of Heart Disease Using Machine Learning Algorithms
10.46243/jst.2021.v6.i05.pp12-15 · JournalArticle — an article in a journal · Digital · Visual · Language · en
Published 2021-09-20
Part of Journal of Science & Technology · ISSN 2456-5660 · vol. 06 · no. 05 · pp. 12–15
Principal agents
- Yeshwanth Reddy Gurram (author → Author)
- S.Vijaya Lakshmi (author → Author)
- Longman Publishers (publisher → Publisher)
Also in the record, outside the Kernel: the abstract, the licence, 4 links, 13 references. Source: Crossref (member 25296), registered 2026-09-12, last deposited 2026-09-20.
System metadata — ISO 26324:2025, Annex B · DOI Handbook 10.1
Each element by the standard's name and the Handbook's (in grey), read off the record.
| DOI Name DOI name | 10.46243/jst.2021.v6.i05.pp12-15 |
| Referent Type referentType | Creation |
| Referent Sub-Type referentSubType | JournalArticle — an article in a journal |
| Referent Name(s) referentName(s) | Prediction of Heart Disease Using Machine Learning Algorithms (PrincipalTitle, en) |
| Basic Metadata basicMetadata | author: Yeshwanth Reddy Gurram author: S.Vijaya Lakshmi publisher: Longman Publishers published: 2021-09-20 part of: Journal of Science & Technology · ISSN 2456-5660 · vol. 06 · no. 05 · pp. 12–15 language: en form: Digital · Visual · Language |
| Referent Identifier(s) alternateIdentifier(s) | none besides the DOI |
| Registration Authority registrationAuthorityCode | Crossref — issued by Crossref (member 25296); held here as a copy |
| Created Date issueDate | 2026-09-12 |
| relatedIdentifiers | none needed — the descriptive metadata is in this record |
The record
{
"format": "smartscholars-doi-metadata/1.0",
"doi": "10.46243/jst.2021.v6.i05.pp12-15",
"referent": "Creation",
"type": "JournalArticle",
"structural_type": "Digital",
"modes": [
"Visual"
],
"characters": [
"Language"
],
"titles": [
{
"value": "Prediction of Heart Disease Using Machine Learning Algorithms",
"type": "PrincipalTitle",
"lang": "en"
}
],
"identifiers": [
{
"type": "DOI",
"value": "10.46243/jst.2021.v6.i05.pp12-15"
}
],
"agents": [
{
"role": "author",
"name": {
"given": "Yeshwanth",
"family": "Reddy Gurram"
},
"sequence": "first"
},
{
"role": "author",
"name": {
"given": "S.Vijaya",
"family": "Lakshmi"
},
"sequence": "additional"
},
{
"role": "publisher",
"name": {
"org": "Longman Publishers"
}
}
],
"dates": {
"published": "2021-09-20",
"date_type": "PublicationDate",
"online": "2021-09-20"
},
"language": "en",
"container": {
"type": "Journal",
"titles": [
{
"value": "Journal of Science & Technology",
"type": "PrincipalTitle"
}
],
"identifiers": [
{
"type": "ISSN",
"value": "2456-5660",
"medium": "electronic"
}
],
"volume": "06",
"issue": "05",
"pages": {
"first": "12",
"last": "15"
}
},
"links": [
{
"url": "https://www.jst.org.in/index.php/pub/article/view/921",
"return_type": "text/html",
"primary": true
},
{
"url": "https://www.jst.org.in/index.php/pub/article/download/921/845",
"purpose": "text-mining",
"return_type": "application/pdf"
},
{
"url": "https://www.jst.org.in/index.php/pub/article/download/921/2591",
"purpose": "text-mining",
"return_type": "application/xml"
},
{
"url": "https://www.jst.org.in/index.php/pub/article/view/921/845",
"purpose": "similarity-checking"
}
],
"abstract": {
"value": "Heart disease is the one of the most common disease. This disease is quite common now a days we used different attributes which can relate to this heart diseases well to find the better method to predict and we also used algorithms for prediction. Naive Bayes, algorithm is analyzed on dataset based on risk factors. We also used decision trees and combination of algorithms for the prediction of heart disease based on the above attributes. The results shown that when the dataset is small naive Bayes algorithm gives the accurate results and when the dataset is large decision trees gives the accurate results.",
"lang": "en"
},
"license": {
"url": "https://creativecommons.org/licenses/by/4.0/",
"start": "2021-09-20",
"applies_to": "vor"
},
"references": [
{
"key": "ref1",
"unstructured": "Sonam Nikhar, A.M. Karandikar “Prediction of Heart Disease Us-ing Machine Learning Algorithms” in International Journal of Advanced Engineering, Management and Science (IJAEMS) June-2016 vol-2"
},
{
"key": "ref2",
"unstructured": "Deeanna Kelley “Heart Disease: Causes, Prevention, and Current Research” in JCCC Honors Journal"
},
{
"key": "ref3",
"doi": "10.1109/jbhi.2016.2518673",
"unstructured": "Nabil Alshurafa, Costas Sideris, Mohammad Pourhomayoun, Haik Kalantarian, Majid Sarrafzadeh \"Remote Health Monitoring Outcome Success Prediction using Baseline and First Month Interven-tion Data\" in IEEE Journal of Biomedical and Health Informatics"
},
{
"key": "ref4",
"doi": "10.2196/cardio.7848",
"unstructured": "Ponrathi Athilingam, Bradlee Jenkins, Marcia Johansson, Miguel Labrador \"A Mobile Health Intervention to Improve Self-Care in Patients With Heart Failure: Pilot Randomized Control Trial\" in JMIR Cardio 2017, vol. 1, issue 2, pg no:1"
},
{
"key": "ref5",
"doi": "10.1109/ntict.2017.7976147",
"unstructured": "DhafarHamed, Jwan K. Alwan, Mohamed Ibrahim, Mohammad B. Naeem \"The Utilisation of Machine Learning Approaches for Medical Data Classification\" in Annual Conference on New Trends in Information & Communications Technology Applications-march-2017"
},
{
"key": "ref6",
"doi": "10.7763/ijiet.2012.v2.114",
"unstructured": "Applying k-Nearest Neighbour in Diagnosing Heart Disease Pa-tients Mai Shouman, Tim Turner, and Rob Stocker International Journal of Information and Education Technology, Vol. 2, No. 3, June 2012"
},
{
"key": "ref7",
"doi": "10.1007/978-81-322-2526-3_36",
"unstructured": "Amudhavel, J., Padmapriya, S., Nandhini, R., Kavipriya, G., Dha-vachelvan, P., Venkatachalapathy, V.S.K., “Recursive ant colony optimization routing in wireless mesh network\", (2016) Advances in Intelligent Systems and Computing, 381, pp. 341-351"
},
{
"key": "ref8",
"doi": "10.9734/bpi/ctmcs/v7/3184f",
"unstructured": "Alapatt, B.P., Kavitha, A., Amudhavel, J., “A novel encryption al-gorithm for end to end secured fiber optic communication\", (2017) International Journal of Pure and Applied Mathematics, 117 (19 Special Issue), pp. 269-275"
},
{
"key": "ref9",
"unstructured": "Amudhavel, J., Inbavalli, P., Bhuvaneswari, B., Anandaraj, B., Vengattaraman, T., Premkumar, K., \"An effective analysis on har-mony search optimization approaches\", (2015) International Journal of Applied Engineering Research, 10 (3), pp. 2035-2038"
},
{
"key": "ref10",
"unstructured": "Amudhavel, J., Kathavate, P., Reddy, L.S.S., Bhuvaneswari Aadharshini, A., \"Assessment on authentication mechanisms in distributed system: A case study\", (2017) Journal of Advanced Re-search in Dynamical and Control Systems, 9 (Special Issue 12), pp. 1437- 1448"
},
{
"key": "ref11",
"unstructured": "Amudhavel, J., Kodeeshwari, C., Premkumar, K., Jaiganesh, S., Rajaguru, D., Vengattatraman, T., Haripriya, R., \"Comprehensive analysis on information dissemination protocols in vehicular ad hoc networks\", (2015) International Journal of Applied Engineering Re-search, 10 (3), pp. 2058-2061"
},
{
"key": "ref12",
"unstructured": "Amudhavel, J., Kathavate, P., Reddy, L.S.S., Satyanarayana, K.V.V., \"Effects, challenges, opportunities and analysis on security based cloud resource virtualization\", (2017) Journal of Advanced Research in Dynamical and Control Systems, 9 (Special Issue 12), pp. 1458-1463"
},
{
"key": "ref13",
"unstructured": "Amudhavel, J., Ilamathi, R., Moganarangan, N., Ravishankar, V., Baskaran, R., Premkumar, K., \"Performance analysis in cloud au-diting: An analysis of the state-of-the-art\", (2015) International Journal of Applied Engineering Research, 10 (3), pp. 2043-2046"
}
],
"record": {
"registrant": "Longman Publishers",
"registered": "2026-09-12",
"updated": "2026-09-20",
"issue_number": 1,
"source": "crossref-api",
"source_agency": "Crossref (member 25296)"
}
}The Kernel Metadata Declaration
DOIMetadataKernel.xsd · namespace http://www.doi.org/2010/DOISchema · Attribute Value Sets 2.3 · draft — the agency's DOI name is filled in on accreditation
<?xml version="1.0" encoding="UTF-8"?>
<!-- DRAFT declaration: Smart Scholars is not yet a DOI Registration Agency. registrationAgencyDoiName is a marker (10.0/ is no RA's prefix) and is filled in on accreditation. -->
<kernelMetadata xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.doi.org/2010/DOISchema https://www.doi.org/doi_schemas/DOIMetadataKernel.xsd" xmlns="http://www.doi.org/2010/DOISchema">
<referentDoiName>10.46243/jst.2021.v6.i05.pp12-15</referentDoiName>
<primaryReferentType>Creation</primaryReferentType>
<registrationAgencyDoiName>10.0/smart-scholars-draft</registrationAgencyDoiName>
<issueDate>2026-10-04</issueDate>
<issueNumber>1</issueNumber>
<referentCreation>
<name primaryLanguage="en">
<value>Prediction of Heart Disease Using Machine Learning Algorithms</value>
<type>PrincipalTitle</type>
</name>
<identifier>
<nonUriValue>10.46243/jst.2021.v6.i05.pp12-15</nonUriValue>
<uri returnType="text/html" doesContentNegotiation="true">https://doi.org/10.46243/jst.2021.v6.i05.pp12-15</uri>
<type>DOI</type>
</identifier>
<identifier>
<uri returnType="text/html">https://www.jst.org.in/index.php/pub/article/view/921</uri>
<type>URI</type>
</identifier>
<identifier>
<uri>https://www.jst.org.in/index.php/pub/article/download/921/845</uri>
<type>URI</type>
</identifier>
<identifier>
<uri returnType="application/xml">https://www.jst.org.in/index.php/pub/article/download/921/2591</uri>
<type>URI</type>
</identifier>
<identifier>
<uri>https://www.jst.org.in/index.php/pub/article/view/921/845</uri>
<type>URI</type>
</identifier>
<structuralType>Digital</structuralType>
<mode>Visual</mode>
<character>Language</character>
<type>JournalArticle</type>
<principalAgent>
<name>
<value>Yeshwanth Reddy Gurram</value>
<type>PrincipalName</type>
</name>
<role>Author</role>
</principalAgent>
<principalAgent>
<name>
<value>S.Vijaya Lakshmi</value>
<type>PrincipalName</type>
</name>
<role>Author</role>
</principalAgent>
<principalAgent>
<name>
<value>Longman Publishers</value>
<type>PrincipalName</type>
</name>
<role>Publisher</role>
</principalAgent>
<linkedCreation>
<name>
<value>Journal of Science & Technology</value>
<type>PrincipalTitle</type>
</name>
<identifier>
<nonUriValue>2456-5660</nonUriValue>
<type>ISSN</type>
</identifier>
<referentCreationRole>Part</referentCreationRole>
<referentCreationSequenceIdentifier>
<value>06</value>
<type>VolumeNumber</type>
</referentCreationSequenceIdentifier>
<referentCreationSequenceIdentifier>
<value>05</value>
<type>IssueNumber</type>
</referentCreationSequenceIdentifier>
<referentCreationSequenceIdentifier>
<value>12-15</value>
<type>PageNumber</type>
</referentCreationSequenceIdentifier>
</linkedCreation>
<language>en</language>
<languageOfReferentContent>
<language>en</language>
<languageOfReferentContentType>Original</languageOfReferentContentType>
</languageOfReferentContent>
<creationDate>
<date>2021-09-20</date>
<creationDateType>PublicationDate</creationDateType>
</creationDate>
</referentCreation>
</kernelMetadata>
