{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T22:45:59Z","timestamp":1761864359392,"version":"build-2065373602"},"reference-count":26,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2021,10,28]],"date-time":"2021-10-28T00:00:00Z","timestamp":1635379200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["BDCC"],"abstract":"<jats:p>Text classification is an important component in many applications. Text classification has attracted the attention of researchers to continue to develop innovations and build new classification models that are sourced from clinical trial texts. In building classification models, many methods are used, including supervised learning. The purpose of this study is to improve the computational performance of one of the supervised learning methods, namely KNN, in building a clinical trial document text classification model by combining KNN and the fine-grained algorithm. This research contributed to increasing the computational performance of KNN from 388,274 s to 260,641 s in clinical trial texts on a clinical trial text dataset with a total of 1,000,000 data.<\/jats:p>","DOI":"10.3390\/bdcc5040060","type":"journal-article","created":{"date-parts":[[2021,10,28]],"date-time":"2021-10-28T23:50:28Z","timestamp":1635465028000},"page":"60","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Fine-Grained Algorithm for Improving KNN Computational Performance on Clinical Trials Text Classification"],"prefix":"10.3390","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0059-2512","authenticated-orcid":false,"given":"Jasmir","family":"Jasmir","sequence":"first","affiliation":[{"name":"Doctoral Program of Engineering Science, Faculty of Engineering, Universitas Sriwijaya, Palembang 30128, Indonesia"},{"name":"Computer Engineering, Universitas Dinamika Bangsa, Jambi 36138, Indonesia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Siti","family":"Nurmaini","sequence":"additional","affiliation":[{"name":"Intelligent System Research Group, Universitas Sriwijaya, Palembang 30128, Indonesia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bambang","family":"Tutuko","sequence":"additional","affiliation":[{"name":"Intelligent System Research Group, Universitas Sriwijaya, Palembang 30128, Indonesia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,10,28]]},"reference":[{"key":"ref_1","unstructured":"Toruno, D., \u00c7ak, E., Ganiz, M.C., Akyoku, S., and G\u00fcrb\u00fcz, M.Z. 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