L. Koneru, Routhu Ramya Dedeepya, Angadi Lakshmi, G. K. Kumar
{"title":"基于人工智能的患者焦虑检测","authors":"L. Koneru, Routhu Ramya Dedeepya, Angadi Lakshmi, G. K. Kumar","doi":"10.1109/I-SMAC55078.2022.9987310","DOIUrl":null,"url":null,"abstract":"Wellbeing and health refer to a condition of complete mental, social and physical prosperity that go beyond the absence of sickness or deficiency. When distanced from genuine prosperity, individuals will generally ignore material and mental concerns and illnesses. Depending on the depth of experiences and accidental complications faced by the individual, these ailments have a wide range of effects. Ideally, it makes it impossible for individuals to live normal, merry lives, and without doubt, and eventually leads to deterioration. It can similarly provoke steady mental degradation, obstacle, control, or self-hurt in specific conditions. This research study intends to design and develop an AI-based profound prosperity assist application with a straightforward UI, which can be used to explore and survey mental prosperity characteristics, for instance, pressure levels, following sensations of uneasiness and required treatment using data assessment procedures. Natural Language Processing (NLP) approaches are being used for serving an arrangement of infections, addictions, and various issues. These NLP ways of managing plan are utilized to train an AI-based application, which consolidates a Chatbot with the relational information index to attract clients dynamically and give them the best, speedy, and convincing responses for their inquiries.","PeriodicalId":306129,"journal":{"name":"2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial Intelligence based Anxiety Detection in Patients\",\"authors\":\"L. Koneru, Routhu Ramya Dedeepya, Angadi Lakshmi, G. K. Kumar\",\"doi\":\"10.1109/I-SMAC55078.2022.9987310\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Wellbeing and health refer to a condition of complete mental, social and physical prosperity that go beyond the absence of sickness or deficiency. When distanced from genuine prosperity, individuals will generally ignore material and mental concerns and illnesses. Depending on the depth of experiences and accidental complications faced by the individual, these ailments have a wide range of effects. Ideally, it makes it impossible for individuals to live normal, merry lives, and without doubt, and eventually leads to deterioration. It can similarly provoke steady mental degradation, obstacle, control, or self-hurt in specific conditions. This research study intends to design and develop an AI-based profound prosperity assist application with a straightforward UI, which can be used to explore and survey mental prosperity characteristics, for instance, pressure levels, following sensations of uneasiness and required treatment using data assessment procedures. Natural Language Processing (NLP) approaches are being used for serving an arrangement of infections, addictions, and various issues. These NLP ways of managing plan are utilized to train an AI-based application, which consolidates a Chatbot with the relational information index to attract clients dynamically and give them the best, speedy, and convincing responses for their inquiries.\",\"PeriodicalId\":306129,\"journal\":{\"name\":\"2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)\",\"volume\":\"82 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/I-SMAC55078.2022.9987310\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Sixth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/I-SMAC55078.2022.9987310","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Artificial Intelligence based Anxiety Detection in Patients
Wellbeing and health refer to a condition of complete mental, social and physical prosperity that go beyond the absence of sickness or deficiency. When distanced from genuine prosperity, individuals will generally ignore material and mental concerns and illnesses. Depending on the depth of experiences and accidental complications faced by the individual, these ailments have a wide range of effects. Ideally, it makes it impossible for individuals to live normal, merry lives, and without doubt, and eventually leads to deterioration. It can similarly provoke steady mental degradation, obstacle, control, or self-hurt in specific conditions. This research study intends to design and develop an AI-based profound prosperity assist application with a straightforward UI, which can be used to explore and survey mental prosperity characteristics, for instance, pressure levels, following sensations of uneasiness and required treatment using data assessment procedures. Natural Language Processing (NLP) approaches are being used for serving an arrangement of infections, addictions, and various issues. These NLP ways of managing plan are utilized to train an AI-based application, which consolidates a Chatbot with the relational information index to attract clients dynamically and give them the best, speedy, and convincing responses for their inquiries.