{"title":"通过机器学习预测食源性病原体的抗菌药耐药性","authors":"Bona Yun, Xinyu Liao, Jinsong Feng, Tian Ding","doi":"10.1080/19476337.2024.2324024","DOIUrl":null,"url":null,"abstract":"The World Health Organization (WHO) has identified antimicrobial resistance (AMR) as one of the top three global dangers to public health. One of the most vital factors contributing to the high pre...","PeriodicalId":11033,"journal":{"name":"CyTA - Journal of Food","volume":"41 1","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Machine learning-enabled prediction of antimicrobial resistance in foodborne pathogens\",\"authors\":\"Bona Yun, Xinyu Liao, Jinsong Feng, Tian Ding\",\"doi\":\"10.1080/19476337.2024.2324024\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The World Health Organization (WHO) has identified antimicrobial resistance (AMR) as one of the top three global dangers to public health. One of the most vital factors contributing to the high pre...\",\"PeriodicalId\":11033,\"journal\":{\"name\":\"CyTA - Journal of Food\",\"volume\":\"41 1\",\"pages\":\"\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2024-03-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"CyTA - Journal of Food\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.1080/19476337.2024.2324024\",\"RegionNum\":4,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"FOOD SCIENCE & TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"CyTA - Journal of Food","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1080/19476337.2024.2324024","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
Machine learning-enabled prediction of antimicrobial resistance in foodborne pathogens
The World Health Organization (WHO) has identified antimicrobial resistance (AMR) as one of the top three global dangers to public health. One of the most vital factors contributing to the high pre...
期刊介绍：
CyTA – Journal of Food is an Open Access journal that publishes original peer-reviewed research papers dealing with a wide range of subjects which are essential to the food scientist and technologist. Topics include: chemical analysis of food; additives and toxins in food; sensory, nutritional and physiological aspects of food; food microbiology and biotechnology; changes during the processing and storage of foods; effect of the use of agrochemicals in foods; quality control in food; and food engineering and technology.
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