{ "ok": true, "doi": "10.46243/jst.2020.v5.i4.pp348-360", "doi_display": "10.46243/jst.2020.v5.i4.pp348-360", "doi_url": "https://doi.org/10.46243/jst.2020.v5.i4.pp348-360", "state": "registered", "url": "https://www.jst.org.in/index.php/pub/article/view/639", "title": "Challenges and Trends in Clinical Data Analytics", "version": 2, "registered_via": "crossref", "prefix": { "prefix": "10.46243", "status": "live" }, "registrant": { "name": "Longman Publishers", "kind": "publisher", "country": "India" }, "reserved_at": null, "registered_at": "2026-09-29 22:00:23", "updated_at": "2026-09-29 23:59:41", "withdrawn_at": null, "withdrawn_reason": null, "record": { "format": "smartscholars-doi-metadata/1.0", "doi": "10.46243/jst.2020.v5.i4.pp348-360", "referent": "Creation", "type": "JournalArticle", "structural_type": "Digital", "modes": [ "Visual" ], "characters": [ "Language" ], "titles": [ { "value": "Challenges and Trends in Clinical Data Analytics", "type": "PrincipalTitle", "lang": "en" } ], "identifiers": [ { "type": "DOI", "value": "10.46243/jst.2020.v5.i4.pp348-360" } ], "agents": [ { "role": "author", "name": { "given": "", "family": "Shweta S.Kaddi" }, "sequence": "first", "identifiers": [ { "type": "ORCID", "value": "0000-0003-3352-4604", "verified": false } ] }, { "role": "author", "name": { "given": "", "family": "Malini M.Patil" }, "sequence": "additional" }, { "role": "publisher", "name": { "org": "Longman Publishers" } } ], "dates": { "published": "2020-07-30", "date_type": "PublicationDate", "online": "2020-07-30" }, "language": "en", "container": { "type": "Journal", "titles": [ { "value": "Journal of Science & Technology", "type": "PrincipalTitle" } ], "identifiers": [ { "type": "ISSN", "value": "2456-5660", "medium": "electronic" } ], "issue": "Volume 5", "pages": { "first": "348", "last": "360" } }, "links": [ { "url": "https://www.jst.org.in/index.php/pub/article/view/639", "return_type": "text/html", "primary": true }, { "url": "https://www.jst.org.in/index.php/pub/article/download/639/570", "purpose": "text-mining", "return_type": "application/pdf" }, { "url": "https://www.jst.org.in/index.php/pub/article/download/639/3029", "purpose": "text-mining", "return_type": "application/xml" } ], "abstract": { "value": ":Today’s technological advancements facilitated the researcher in collecting and organizing various forms of healthcare data. Data is an integral part of health care analytics. Drug discovery for clinical data analytics forms an important breakthrough work in terms of computational approaches in health care systems. On the other hand, healthcare analysis provides better value for money. The health care data management is very challenging as 80% of the data is unstructured as it includes handwritten documents, images; computer-generated clinical reports such as MRI, ECG, city scan, etc. The paper aims at providing a summary of work carried out by scientists and researchers who worked in health care domains. More precisely the work focuses on clinical data analysis for the period 2013 to 2019. The organization of the work carried out is specifically with concerned to data sets, Techniques, and Methods used, Tools adopted, Key Findings in clinical data analysis. The overall objective is to identify the current challenges, trends, and gaps in clinical data analysis. The pathway of the work is focused on carrying out on the bibliometric survey and summarization of the key findings in a novel way.", "lang": "en" }, "license": { "url": "https://creativecommons.org/licenses/by/4.0", "start": "2020-07-30", "applies_to": "vor" }, "references": [ { "key": "ref1", "doi": "10.3390/metabo8010004", "unstructured": "RoslavaCuperlovic-Culf,Machine Learning Methods for Analysis of Metabolic Data and Metabolic Pathway Modeling, Metabolites 2018, 8, 4; doi:10.3390/metabo8010004" }, { "key": "ref2", "doi": "10.1145/3184066.3184080", "unstructured": "Abien Fred M. Agarap,On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset. https://doi.org/10.1145/3184066.3184080" }, { "key": "ref3", "doi": "10.18576/amis/120121", "unstructured": "M. Chandralekha _ and N. 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