Artificial intelligence (AI) has the potential to improve efficiency and effectiveness of health care service delivery. However, perceptions needs such systems remain elusive, hindering efforts promote AI adoption in care.This study aims provide an overview increase its care.A systematic scoping review was conducted according 5-stage framework by Arksey O'Malley. Articles that described were searched across nine databases: ACM Library, CINAHL, Cochrane Central, Embase, IEEE Xplore, PsycINFO,...

This study focuses on the uses of Twitter during elections, examining whether messages posted online are reflective climate public opinion. Using data obtained official campaign period 2011 Singapore General Election, we test predictive power tweets in forecasting election results. In line with some previous studies, find that elections sphere represents a rich source for gauging opinion and frequency mentioning names political parties, candidates contested constituencies could be used to...

An important aspect of health monitoring is effective logging food consumption. This can help management diet-related diseases like obesity, diabetes, and even cardiovascular diseases. Moreover, fitness enthusiasts, people who wanting to achieve a target weight. However, food-logging cumbersome, requires not only taking additional effort note down the item consumed regularly, but also sufficient knowledge (which difficult due availability wide variety cuisines). With increasing reliance on...

Interests in the automatic generation of cooking recipes have been growing steadily over past few years thanks to a large amount online recipes. We present RecipeGPT, novel recipe and evaluation system. The system provides two modes text generations: (1) instruction from given title ingredients; (2) ingredient instructions. Its back-end module comprises generative pre-trained language model GPT-2 fine-tuned on dataset. Moreover, allows users conveniently inspect quality generated contents...

Food retrieval is an important task to perform analysis of food-related information, where we are interested in retrieving relevant information about the queried food item such as ingredients, cooking instructions, etc. In this paper, investigate cross-modal between images and recipes. The goal learn embedding recipes a common feature space, that corresponding image-recipe embeddings lie close one another. Two major challenges addressing problem 1) large intra-variance small inter-variance...

Millions of people, including those in the software engineering communities have turned to microblogging services, such as Twitter, a means quickly disseminate information. A number past studies by Treude et al., Storey, and Yuan al. shown that wealth interesting information is stored these microblogs. However, microblogs also contain large amount noisy content are less relevant developers systems. In this work, we perform preliminary study investigate feasibility automatic classification...

Microblogging is a new trend to communicate and disseminate information. One microblog post could potentially reach millions of users. Millions microblogs are generated on daily basis popular sites such as Twitter. The popularity microblogging among programmers, software engineers, users has also led their use engineering issues apart from using emails other traditional communication channels. Understanding how in related activities would shed light ways we leverage the fast evolving content...

Real-time microblogging systems such as Twitter offer users an easy and lightweight means to exchange information. Instead of writing formal lengthy messages, microbloggers prefer frequently broadcast several short messages be read by other users. Only when are interesting, they propagated further the readers. In this article, we examine user behavior relevant information propagation through microblogging. We specifically use retweeting activities among define model originating promoting...

Microblogging is a new trend to communicate and disseminate information. One microblog post could potentially reach millions of users. Millions microblogs are generated on daily basis popular sites such as Twitter. The popularity microblogging among programmers, software engineers, users has also led their use engineering issues apart from using emails other traditional communication channels. Understanding how in related activities would shed light ways we leverage the fast evolving content...

Simulating human clients in mental health counseling is crucial for training and evaluating counselors (both or simulated) a scalable manner. Nevertheless, past research on client simulation did not focus complex conversation tasks such as counseling. In these tasks, the challenge to ensure that client's actions (i.e., interactions with counselor) are consistent its stipulated profiles negative behavior settings. this paper, we propose novel framework supports Our tracks state of simulated...

Conversational counselor agents have become essential tools for addressing the rising demand scalable and accessible mental health support. This paper introduces CAMI, a novel automated agent grounded in Motivational Interviewing (MI) -- client-centered counseling approach designed to address ambivalence facilitate behavior change. CAMI employs STAR framework, consisting of client's state inference, motivation topic exploration, response generation modules, leveraging large language models...

Past research has shown the benefits of food journaling in promoting mindful eating and healthier choices. However, links between healthy have not been thoroughly examined. Beyond caloric restriction, do journalers consistently sufficiently consume healthful diets? How different are their habits compared to those average consumers who tend be less conscious about health? In this study, we analyze behaviors active using data from MyFitnessPal. Surprisingly, our findings show that eat as...

Microblogging has recently become a popular means to disseminate information among millions of people. Interestingly, software developers also use microblog communicate with one another. Different from traditional media, users tend focus on recency and informality content. Many tweet contents are relatively more personal opinionated, compared that news report. Thus, by analyzing microblogs, could get the up-to-date about what people interested in or feel toward particular topic. In this...

Authority users often play important roles in a social system. They are expected to write good reviews at product review sites; provide high quality answers question answering systems; and share interesting content networks. In the context of marketing advertising, knowing how react emails messages from authority senders is important, given prevalence email our everyday life. Using real-life academic event, we designed conducted an online controlled experiment determine different types...

Content-based implicit user modeling techniques usually employ a traditional term vector as representation of the user's interest. However, due to problem dimensionality in space model, simple is not sufficient model it ignores semantic relations between terms. In this paper, we present novel method enhance term-based with WordNet-based similarity techniques. To achieve this, use word definitions and relationship hierarchies WordNet perform sense disambiguation domain-specific concepts...

Biomedical images and captions are one of the major sources information in online biomedical publications. They often contain most important results to be reported, provide rich about main themes published papers. In data mining retrieval community, there has been much effort on using text language modeling algorithms extract knowledge from content publications; however, problem extraction not fully studied yet. this paper, a hierarchical probabilistic topic model with background...

Recent research has identified a few design flaws in popular mobile health (mHealth) applications for promoting healthy eating lifestyle, such as food journals. These include tediousness of manual logging, inadequate database coverage, and lack dietary goal setting. To address these issues, we present Foodbot, chatbot-based mHealth application goal-oriented just-in-time (JIT) interventions. Powered by large-scale knowledge graph, Foodbot utilizes automatic speech recognition messaging...