{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T08:13:05Z","timestamp":1767168785611,"version":"build-2238731810"},"reference-count":21,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2022,8,2]],"date-time":"2022-08-02T00:00:00Z","timestamp":1659398400000},"content-version":"vor","delay-in-days":213,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004242","name":"Princess Nourah Bint Abdulrahman University","doi-asserted-by":"publisher","award":["PNURSP2022R136"],"award-info":[{"award-number":["PNURSP2022R136"]}],"id":[{"id":"10.13039\/501100004242","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["BioMed Research International"],"published-print":{"date-parts":[[2022,1]]},"abstract":"<jats:p>It makes no difference whether a person is male or female when it comes to neurodegenerative disorders; both sexes are equally susceptible to their devastating effects. Sometimes, it is unclear why a person in their life got a condition that is well\u2010known in the world, such as Parkinson\u2019s disease. Other times, it is evident why the individual obtained the ailment (PD). In modern times, a variety of cutting\u2010edge algorithms that are based on treatment protocols have been developed for the purpose of diagnosing Parkinson\u2019s disease. The approach that is presented in this article is the most current one; it was created using deep learning, and it can predict how severely Parkinson\u2019s disease would affect a patient. In order to diagnose this condition, it is necessary to conduct a comprehensive medical history, a history of any past treatments, physical exams, and certain blood tests and brain films. Because they are less time\u2010consuming and costly, diagnoses are becoming an increasingly important part of medical practice. The diagnosis of Parkinson\u2019s disease by the physician is supported by the findings of the present research, which analyzed the voices of 253 participants. Preprocessing is done in order to get the most accurate results possible from the data. In order to carry out the technique of balancing, a methodical sampling approach was used to choose the data that would afterwards be evaluated. Using a feature selection approach that was determined by the magnitude of the label\u2019s influence, many data groups were created and organized. DT, SVM, and kNN are three methods that are used in classification algorithms and performance assessment criteria. The model was developed as a result of selecting the classification method and data group that had the greatest performance value. This decision led to the creation of the model. During the process of building the model, the SVM technique was used, and data comprising 45% of the original data set were utilized. The information was arranged in descending order of significance, beginning with the most pertinent. In addition to achieving exceptional outcomes in every other aspect of the project, the performance accuracy target was successfully met at 86 percent. As a consequence of this, it has been decided that the physician will be provided with medical decision support with the assistance of the data set obtained from the speech recordings of the individual who may have Parkinson\u2019s disease and the model that has been developed. This has led to the conclusion that medical decision support will be offered to the physician.<\/jats:p>","DOI":"10.1155\/2022\/6871623","type":"journal-article","created":{"date-parts":[[2022,8,2]],"date-time":"2022-08-02T23:20:08Z","timestamp":1659482408000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["[Retracted] A Novel Method for Parkinson\u2019s Disease Diagnosis Utilizing Treatment Protocols"],"prefix":"10.1155","volume":"2022","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6720-9955","authenticated-orcid":false,"given":"Shaha","family":"Al-Otaibi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5662-6238","authenticated-orcid":false,"given":"Sarra","family":"Ayouni","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8014-9638","authenticated-orcid":false,"given":"Md Maruf Haque","family":"Khan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6183-4207","authenticated-orcid":false,"given":"Malek","family":"Badr","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2022,8,2]]},"reference":[{"key":"e_1_2_8_1_2","article-title":"Parkinson\u2019s disease in a Kurdish population","volume":"17","author":"Mohammed O.","year":"2018","journal-title":"The Iraqi Postgraduate Medical Journal"},{"key":"e_1_2_8_2_2","doi-asserted-by":"publisher","DOI":"10.7326\/0003-4819-157-9-20121106-01005"},{"key":"e_1_2_8_3_2","doi-asserted-by":"publisher","DOI":"10.1093\/bmb\/ldn013"},{"key":"e_1_2_8_4_2","doi-asserted-by":"publisher","DOI":"10.2147\/JPRLS.S62065"},{"key":"e_1_2_8_5_2","first-page":"13","article-title":"The diagnosis and management of Parkinson\u2019s disease","volume":"1","author":"Esmail S.","year":"2018","journal-title":"Journal of Applied Sciences and Research"},{"key":"e_1_2_8_6_2","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/1959371"},{"key":"e_1_2_8_7_2","doi-asserted-by":"publisher","DOI":"10.4156\/ijact.vol4.issue21.37"},{"key":"e_1_2_8_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2013.02.006"},{"key":"e_1_2_8_9_2","doi-asserted-by":"publisher","DOI":"10.3389\/fnagi.2021.633752"},{"key":"e_1_2_8_10_2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33011118"},{"key":"e_1_2_8_11_2","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/8332737"},{"key":"e_1_2_8_12_2","doi-asserted-by":"publisher","DOI":"10.3389\/fnagi.2021.633752"},{"key":"e_1_2_8_13_2","doi-asserted-by":"crossref","unstructured":"WrogeT. \u00d6zkancaY. DemirogluC. SiD. AtkinsD. andGhomiR. Parkinson\u2019s disease diagnosis using machine learning and voice 2018 IEEE signal processing in medicine and biology symposium (SPMB) 2018 Philadelphia PA USA 1\u20138 https:\/\/doi.org\/10.1109\/SPMB.2018.8615607 2-s2.0-85062085651.","DOI":"10.1109\/SPMB.2018.8615607"},{"key":"e_1_2_8_14_2","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/1094054"},{"key":"e_1_2_8_15_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-13-2285-3_42"},{"key":"e_1_2_8_16_2","doi-asserted-by":"crossref","unstructured":"OuhmidaA. RaihaniA. CherradiB. SaraS. andKhaliliT. 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