元医生的时代:用人工智能和语言诊断帕金森病

IF 0.9 Q3 EDUCATION & EDUCATIONAL RESEARCH

Journal of Student Affairs Research and Practice Pub Date : 2023-05-31 DOI:10.47611/jsrhs.v12i2.4379

Ayush Tripathi, Rajagopal Appavu, Jothsna Kethar

{"title":"元医生的时代:用人工智能和语言诊断帕金森病","authors":"Ayush Tripathi, Rajagopal Appavu, Jothsna Kethar","doi":"10.47611/jsrhs.v12i2.4379","DOIUrl":null,"url":null,"abstract":"The basal ganglia consist of the striatum, substantia nigra, and other nuclei, forming various pathways of motor initiation. Parkinson’s disease (PD) is a neurodegenerative disorder characterized by dysfunction of the basal ganglia pathways. Consequently, PD affects the production of speech. An AI model can analyze audio samples from regular and PD patients. A simple deep learning model with various layers, ReLU activation, sigmoid activation, optimizer, loss function, and Early_Stopping can use extracted speech features to classify patients as regular or PD-afflicted with up to 97% accuracy. Overall, the advent of user-friendly artificial intelligence has led to exciting times, with new medical advancements emerging day after day; perhaps the ease of AI implementation will encourage others to solve everyday problems with just a computer and a dream.","PeriodicalId":46753,"journal":{"name":"Journal of Student Affairs Research and Practice","volume":null,"pages":null},"PeriodicalIF":0.9000,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Age of the Meta-Doctor: Diagnosing Parkinson’s Disease with Artificial Intelligence and Speech\",\"authors\":\"Ayush Tripathi, Rajagopal Appavu, Jothsna Kethar\",\"doi\":\"10.47611/jsrhs.v12i2.4379\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The basal ganglia consist of the striatum, substantia nigra, and other nuclei, forming various pathways of motor initiation. Parkinson’s disease (PD) is a neurodegenerative disorder characterized by dysfunction of the basal ganglia pathways. Consequently, PD affects the production of speech. An AI model can analyze audio samples from regular and PD patients. A simple deep learning model with various layers, ReLU activation, sigmoid activation, optimizer, loss function, and Early_Stopping can use extracted speech features to classify patients as regular or PD-afflicted with up to 97% accuracy. Overall, the advent of user-friendly artificial intelligence has led to exciting times, with new medical advancements emerging day after day; perhaps the ease of AI implementation will encourage others to solve everyday problems with just a computer and a dream.\",\"PeriodicalId\":46753,\"journal\":{\"name\":\"Journal of Student Affairs Research and Practice\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2023-05-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Student Affairs Research and Practice\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.47611/jsrhs.v12i2.4379\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"EDUCATION & EDUCATIONAL RESEARCH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Student Affairs Research and Practice","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47611/jsrhs.v12i2.4379","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}

引用次数: 0

摘要

基底神经节由纹状体、黑质等核组成，形成多种运动起始通路。帕金森病(PD)是一种以基底神经节通路功能障碍为特征的神经退行性疾病。因此，PD会影响言语的产生。人工智能模型可以分析普通患者和PD患者的音频样本。一个简单的深度学习模型具有多种层次，包括ReLU激活、sigmoid激活、优化器、损失函数和early_stop，可以使用提取的语音特征将患者分类为正常患者或pd患者，准确率高达97%。总的来说，用户友好的人工智能的出现带来了激动人心的时刻，新的医学进步日复一日;也许人工智能实现的便利性将鼓励其他人只需要一台电脑和一个梦想就能解决日常问题。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

The Age of the Meta-Doctor: Diagnosing Parkinson’s Disease with Artificial Intelligence and Speech

The basal ganglia consist of the striatum, substantia nigra, and other nuclei, forming various pathways of motor initiation. Parkinson’s disease (PD) is a neurodegenerative disorder characterized by dysfunction of the basal ganglia pathways. Consequently, PD affects the production of speech. An AI model can analyze audio samples from regular and PD patients. A simple deep learning model with various layers, ReLU activation, sigmoid activation, optimizer, loss function, and Early_Stopping can use extracted speech features to classify patients as regular or PD-afflicted with up to 97% accuracy. Overall, the advent of user-friendly artificial intelligence has led to exciting times, with new medical advancements emerging day after day; perhaps the ease of AI implementation will encourage others to solve everyday problems with just a computer and a dream.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Journal of Student Affairs Research and Practice EDUCATION & EDUCATIONAL RESEARCH-

CiteScore

2.40

自引率

9.10%

发文量

期刊介绍： The vision of the Journal of Student Affairs Research and Practice (JSARP) is to publish the most rigorous, relevant, and well-respected research and practice making a difference in student affairs practice. JSARP especially encourages manuscripts that are unconventional in nature and that engage in methodological and epistemological extensions that transcend the boundaries of traditional research inquiries.