P. Vinayagam, A. Hameem Irfana, K. Sireesha, N. Tabassum Fathima, K. Tanuja
{"title":"一种紧急医疗救助系统的人工智能工具","authors":"P. Vinayagam, A. Hameem Irfana, K. Sireesha, N. Tabassum Fathima, K. Tanuja","doi":"10.1109/ICOSEC54921.2022.9951990","DOIUrl":null,"url":null,"abstract":"This research work attempts to check the medical condition of human beings by incorporating a smart medical assistance center in public places such as pharmacies, shopping centers, transportation route stations, interstate highways, and areas, where clinical stores are limited. The major advantage of the proposed type of medical assistance model is that the people would be able to recognize their current health condition. Based on these findings, the developed machine recommends the medicine to the user’s registered mobile number. Today, with the increased availability of internet and other connectivity resources, people are frequently facing side effects without consulting with a Medical Practitioner. They basically self-medicate themselves, which either has no effect on the body or has too many consequences on the body causing early/unpredictable death(s). The main challenge or disadvantage of self-mediation is that even after the recovery, the individuals begin using that medication for the rest of their lives or the continuous unknown side effects can lead to unexpected health issues. To address this issue, this research study works on a Proof-of-concept approach, which will assist in proposing a useful medical assistance.","PeriodicalId":221953,"journal":{"name":"2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An AI Tool for Emergency Medical Assistance system\",\"authors\":\"P. Vinayagam, A. Hameem Irfana, K. Sireesha, N. Tabassum Fathima, K. Tanuja\",\"doi\":\"10.1109/ICOSEC54921.2022.9951990\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This research work attempts to check the medical condition of human beings by incorporating a smart medical assistance center in public places such as pharmacies, shopping centers, transportation route stations, interstate highways, and areas, where clinical stores are limited. The major advantage of the proposed type of medical assistance model is that the people would be able to recognize their current health condition. Based on these findings, the developed machine recommends the medicine to the user’s registered mobile number. Today, with the increased availability of internet and other connectivity resources, people are frequently facing side effects without consulting with a Medical Practitioner. They basically self-medicate themselves, which either has no effect on the body or has too many consequences on the body causing early/unpredictable death(s). The main challenge or disadvantage of self-mediation is that even after the recovery, the individuals begin using that medication for the rest of their lives or the continuous unknown side effects can lead to unexpected health issues. To address this issue, this research study works on a Proof-of-concept approach, which will assist in proposing a useful medical assistance.\",\"PeriodicalId\":221953,\"journal\":{\"name\":\"2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICOSEC54921.2022.9951990\",\"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 3rd International Conference on Smart Electronics and Communication (ICOSEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOSEC54921.2022.9951990","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An AI Tool for Emergency Medical Assistance system
This research work attempts to check the medical condition of human beings by incorporating a smart medical assistance center in public places such as pharmacies, shopping centers, transportation route stations, interstate highways, and areas, where clinical stores are limited. The major advantage of the proposed type of medical assistance model is that the people would be able to recognize their current health condition. Based on these findings, the developed machine recommends the medicine to the user’s registered mobile number. Today, with the increased availability of internet and other connectivity resources, people are frequently facing side effects without consulting with a Medical Practitioner. They basically self-medicate themselves, which either has no effect on the body or has too many consequences on the body causing early/unpredictable death(s). The main challenge or disadvantage of self-mediation is that even after the recovery, the individuals begin using that medication for the rest of their lives or the continuous unknown side effects can lead to unexpected health issues. To address this issue, this research study works on a Proof-of-concept approach, which will assist in proposing a useful medical assistance.