{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,27]],"date-time":"2026-05-27T22:22:27Z","timestamp":1779920547632,"version":"3.53.1"},"reference-count":8,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2022,3,19]],"date-time":"2022-03-19T00:00:00Z","timestamp":1647648000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Algorithms"],"abstract":"<jats:p>In the last decade, Machine Learning (ML) has indisputably had a pervasive application in healthcare and biomedical applications [...]<\/jats:p>","DOI":"10.3390\/a15030097","type":"journal-article","created":{"date-parts":[[2022,3,20]],"date-time":"2022-03-20T21:25:00Z","timestamp":1647811500000},"page":"97","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Editorial for the Special Issue on \u201cMachine Learning in Healthcare and Biomedical Application\u201d"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1362-6718","authenticated-orcid":false,"given":"Alessia","family":"Sarica","sequence":"first","affiliation":[{"name":"Neuroscience Research Center, Department of Medical and Surgical Sciences, Magna Graecia University of Catanzaro, 88100 Catanzaro, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,3,19]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"329","DOI":"10.3389\/fnagi.2017.00329","article-title":"Random Forest Algorithm for the Classification of Neuroimaging Data in Alzheimer\u2019s Disease: A Systematic Review","volume":"9","author":"Sarica","year":"2017","journal-title":"Front. Aging Neurosci."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Beacher, F.D.D., Mujica-Parodi, L.R.R., Gupta, S., and Ancora, L.A.A. (2021). Machine Learning Predicts Outcomes of Phase III Clinical Trials for Prostate Cancer. Algorithms, 14.","DOI":"10.3390\/a14050147"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"De la Sen, M., and Ibeas, A. (2020). On a controlled SE (Is)(Ih)(Iicu) AR epidemic model with output controllability issues to satisfy hospital constraints on hospitalized patients. Algorithms, 13.","DOI":"10.3390\/a13120322"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Mahmood, U., Fu, Z., Calhoun, V.D., and Plis, S. (2021). A deep learning model for data-driven discovery of functional connectivity. Algorithms, 14.","DOI":"10.3390\/a14030075"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Sarica, A., Vaccaro, M.G., Quattrone, A., and Quattrone, A. (2021). A Novel Approach for Cognitive Clustering of Parkinsonisms through Affinity Propagation. Algorithms, 14.","DOI":"10.3390\/a14020049"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Chen, X., Zhao, H., and Zhou, P. (2020). Lung Lobe Segmentation Based on Lung Fissure Surface Classification Using a Point Cloud Region Growing Approach. Algorithms, 13.","DOI":"10.3390\/a13100263"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Nakasi, R., Mwebaze, E., and Zawedde, A. (2021). Mobile-Aware Deep Learning Algorithms for Malaria Parasites and White Blood Cells Localization in Thick Blood Smears. Algorithms, 14.","DOI":"10.3390\/a14010017"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Sarica, A., Quattrone, A., and Quattrone, A. (2021). Explainable Boosting Machine for Predicting Alzheimer\u2019s Disease from MRI Hippocampal Subfields: International Conference on Brain Informatics, Springer.","DOI":"10.1007\/978-3-030-86993-9_31"}],"container-title":["Algorithms"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1999-4893\/15\/3\/97\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T22:39:26Z","timestamp":1760135966000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1999-4893\/15\/3\/97"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,19]]},"references-count":8,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2022,3]]}},"alternative-id":["a15030097"],"URL":"https:\/\/doi.org\/10.3390\/a15030097","relation":{},"ISSN":["1999-4893"],"issn-type":[{"value":"1999-4893","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,3,19]]}}}