{"title":"预测传染病的人工智能技术:开放的挑战和研究问题","authors":"Kavita Thakur, M. Kaur, Yogesh Kumar","doi":"10.1109/ICTACS56270.2022.9988282","DOIUrl":null,"url":null,"abstract":"Infectious diseases are still the most significant cause of death and disease across the globe. Encounter a pathogen causes infectious diseases. Bacteria, viruses, fungi, protozoa, and helminthes have all been the main infectious agents. So, establishing an effective and efficient measure to tackle the threat of infectious illnesses becomes critical. As a result, artificial intelligence (AI) is becoming a valuable tool in healthcare. This document covers research on the most common approach to infectious illness prediction. The present advancements, challenges, and future opportunities for using Artificial Intelligence to detect and forecast infectious illnesses will be examined in this study. Previous research, methodology, datasets, factors, and performance indicators are all examined in this study.","PeriodicalId":385163,"journal":{"name":"2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial Intelligence Techniques to Predict the Infectious Diseases: Open Challenges and Research Issues\",\"authors\":\"Kavita Thakur, M. Kaur, Yogesh Kumar\",\"doi\":\"10.1109/ICTACS56270.2022.9988282\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Infectious diseases are still the most significant cause of death and disease across the globe. Encounter a pathogen causes infectious diseases. Bacteria, viruses, fungi, protozoa, and helminthes have all been the main infectious agents. So, establishing an effective and efficient measure to tackle the threat of infectious illnesses becomes critical. As a result, artificial intelligence (AI) is becoming a valuable tool in healthcare. This document covers research on the most common approach to infectious illness prediction. The present advancements, challenges, and future opportunities for using Artificial Intelligence to detect and forecast infectious illnesses will be examined in this study. Previous research, methodology, datasets, factors, and performance indicators are all examined in this study.\",\"PeriodicalId\":385163,\"journal\":{\"name\":\"2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS)\",\"volume\":\"47 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICTACS56270.2022.9988282\",\"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 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTACS56270.2022.9988282","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Artificial Intelligence Techniques to Predict the Infectious Diseases: Open Challenges and Research Issues
Infectious diseases are still the most significant cause of death and disease across the globe. Encounter a pathogen causes infectious diseases. Bacteria, viruses, fungi, protozoa, and helminthes have all been the main infectious agents. So, establishing an effective and efficient measure to tackle the threat of infectious illnesses becomes critical. As a result, artificial intelligence (AI) is becoming a valuable tool in healthcare. This document covers research on the most common approach to infectious illness prediction. The present advancements, challenges, and future opportunities for using Artificial Intelligence to detect and forecast infectious illnesses will be examined in this study. Previous research, methodology, datasets, factors, and performance indicators are all examined in this study.