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相关论文: Fine-grained Mining of Illicit Drug Use Patterns U…

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Drug use by people is on the rise and is of great interest to public health agencies and law enforcement agencies. As found by the National Survey on Drug Use and Health, 20 million Americans aged 12 years or older consumed illicit drugs in…

社会与信息网络 · 计算机科学 2016-04-26 Yiheng Zhou , Numair Sani , Chia-Kuei Lee , Jiebo Luo

Illicit drug trade via social media sites, especially photo-oriented Instagram, has become a severe problem in recent years. As a result, tracking drug dealing and abuse on Instagram is of interest to law enforcement agencies and public…

社会与信息网络 · 计算机科学 2016-05-26 Xitong Yang , Jiebo Luo

Illicit drug trafficking via social media sites such as Instagram has become a severe problem, thus drawing a great deal of attention from law enforcement and public health agencies. How to identify illicit drug dealers from social media…

机器学习 · 计算机科学 2021-08-24 Chuanbo Hu , Minglei Yin , Bin Liu , Xin Li , Yanfang Ye

Mining social media messages for health and drug related information has received significant interest in pharmacovigilance research. Social media sites (e.g., Twitter), have been used for monitoring drug abuse, adverse reactions of drug…

计算与语言 · 计算机科学 2018-05-17 Debanjan Mahata , Jasper Friedrichs , Hitkul , Rajiv Ratn Shah

Substance use, substance use disorder, and overdoses related to substance use are major public health problems globally and in the United States. A key aspect of addressing these problems from a public health standpoint is improved…

计算与语言 · 计算机科学 2023-09-06 Abeed Sarker

In this paper, we demonstrate how the state-of-the-art machine learning and text mining techniques can be used to build effective social media-based substance use detection systems. Since a substance use ground truth is difficult to obtain…

计算与语言 · 计算机科学 2017-06-02 Tao Ding , Warren K. Bickel , Shimei Pan

In the last decade drug overdose deaths reached staggering proportions in the US. Besides the raw yearly deaths count that is worrisome per se, an alarming picture comes from the steep acceleration of such rate that increased by 21% from…

计算机与社会 · 计算机科学 2019-04-02 Duilio Balsamo , Paolo Bajardi , André Panisson

The collection and examination of social media has become a useful mechanism for studying the mental activity and behavior tendencies of users. Through the analysis of collected Twitter data, models were developed for classifying…

社会与信息网络 · 计算机科学 2020-03-26 Joseph Tassone , Peizhi Yan , Mackenzie Simpson , Chetan Mendhe , Vijay Mago , Salimur Choudhury

Much recent research aims to identify evidence for Drug-Drug Interactions (DDI) and Adverse Drug reactions (ADR) from the biomedical scientific literature. In addition to this "Bibliome", the universe of social media provides a very…

社会与信息网络 · 计算机科学 2016-01-15 Rion Brattig Correia , Lang Li , Luis M. Rocha

Illicit online pharmacies allow the purchase of prescription drugs online without a prescription. Such pharmacies leverage social media platforms such as Twit- ter as a promotion and marketing tool with the intent of reaching out to a…

计算机与社会 · 计算机科学 2017-12-05 Janani Kalyanam , Timothy Mackey

In the last decade, the United States has lost more than 500,000 people from an overdose involving prescription and illicit opioids making it a national public health emergency (USDHHS, 2017). Medical practitioners require robust and timely…

Social media provide a wealth of information for research into public health by providing a rich mix of personal data, location, hashtags, and social network information. Among these, Instagram has been recently the subject of many…

计算机与社会 · 计算机科学 2016-03-16 Jaclyn Rich , Hamed Haddadi , Timothy M. Hospedales

Mining social media messages such as tweets, articles, and Facebook posts for health and drug related information has received significant interest in pharmacovigilance research. Social media sites (e.g., Twitter), have been used for…

计算与语言 · 计算机科学 2018-08-08 Debanjan Mahata , Jasper Friedrichs , Rajiv Ratn Shah , Jing Jiang

Several projects have shown the feasibility to use textual social media data to track public health concerns, such as temporal influenza patterns or geographical obesity patterns. In this paper, we look at whether geo-tagged images from…

社会与信息网络 · 计算机科学 2017-03-27 Kiran Garimella , Abdulrahman Alfayad , Ingmar Weber

Opioid and substance misuse is rampant in the United States today, with the phenomenon known as the opioid crisis. The relationship between substance use and mental health has been extensively studied, with one possible relationship being…

Widespread use of social media has led to the generation of substantial amounts of information about individuals, including health-related information. Social media provides the opportunity to study health-related information about selected…

计算与语言 · 计算机科学 2017-02-09 Pramod Bharadwaj Chandrashekar , Arjun Magge , Abeed Sarker , Graciela Gonzalez

Opioid and substance misuse is rampant in the United States today, with the phenomenon known as the "opioid crisis". The relationship between substance use and mental health has been extensively studied, with one possible relationship…

The complex unfolding of the US opioid epidemic in the last 20 years has been the subject of a large body of medical and pharmacological research, and it has sparked a multidisciplinary discussion on how to implement interventions and…

计算机与社会 · 计算机科学 2021-02-23 Duilio Balsamo , Paolo Bajardi , Alberto Salomone , Rossano Schifanella

Online socio-technical systems can be studied as proxy of the real world to investigate human behavior and social interactions at scale. Here we focus on Instagram, a media-sharing online platform whose popularity has been rising up to…

社会与信息网络 · 计算机科学 2017-03-07 Emilio Ferrara , Roberto Interdonato , Andrea Tagarelli

With the advent of social media, our online feeds increasingly consist of short, informal, and unstructured text. This textual data can be analyzed for the purpose of improving user recommendations and detecting trends. Instagram is one of…

计算与语言 · 计算机科学 2019-09-25 Kim Hammar , Shatha Jaradat , Nima Dokoohaki , Mihhail Matskin
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