Journal of Intelligent & Fuzzy Systems, Год журнала: 2023, Номер 45(6), С. 9803 - 9813
Опубликована: Сен. 8, 2023
This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
Язык: Английский
Journal of Medical Internet Research, Год журнала: 2024, Номер 26, С. e59050 - e59050
Опубликована: Июль 25, 2024
Data analysis approaches such as qualitative content are notoriously time and labor intensive because of the to detect, assess, code a large amount data. Tools ChatGPT may have tremendous potential in automating at least some analysis.
Язык: Английский
Процитировано
10
International Journal of Biology and Pharmacy Research Updates, Год журнала: 2024, Номер 3(2), С. 01 - 010
Опубликована: Апрель 13, 2024
In recent years, the convergence of healthcare and big data analytics has opened new avenues for tailored health communication, enabling personalized interventions improving outcomes. This systematic review investigates impact techniques harnessing communication. The synthesizes findings from diverse studies spanning sectors, including public campaigns, clinical interventions, patient engagement initiatives. It examines effectiveness communication strategies in addressing various challenges, such as chronic diseases, infectious outbreaks, mental disorders. Key highlight significant positive on behavior change, treatment adherence, empowerment. Big enable segmentation populations based socio-demographic, behavioral, characteristics, facilitating delivery targeted messages to individual preferences needs. Personalization enhances engagement, fosters trust, motivates individuals adopt healthier lifestyles adhere medical recommendations. Furthermore, explores technologies employed Machine learning algorithms, natural language processing, predictive modeling are leveraged analyze vast datasets, predict outcomes, tailor real-time. Mobile applications, social media platforms, wearable devices serve channels delivering collecting real-time data. However, also identifies challenges limitations, privacy concerns, security risks, digital divide. Ethical considerations regarding collection, consent, transparency paramount ensuring responsible use underscores transformative potential By leveraging advanced technology, stakeholders can deliver that resonate with individuals, ultimately driving change outcomes a population scale.
Язык: Английский
Процитировано
7
Journal of Medical Internet Research, Год журнала: 2025, Номер 27, С. e64739 - e64739
Опубликована: Фев. 7, 2025
Background Both obesity and underweight are matters of global concern. Weight-related content frequently shared on social media can reflect public recognition affect users’ behaviors perceptions. Although X (Twitter) is a popular platform, few studies have revealed the weight-related posts or details dietary for weight loss X. Objective This study aims to describe body weight–related reposted X, with particular focus loss, in English Japanese. Methods We collected Japanese related human having over 100 reposts July 2023 using an application programming interface tool. Two independent researchers categorized contents into 7 main categories then summarized recommended strategies. Results analyzed 815 1213 posts. The most category was “how change weight” both languages. were more likely mention (n=571, 47.1%) “recipes (n=114, 9.4%) than (n=195, 23.9% n=10, 1.2%, respectively), whereas “will experience (n=167, 20.5%), “attitudes toward status” (n=78, 9.6%), “public health situation” (n=44, 5.4%) Among 146 541 about strategies, predominant strategies diet (n=76, 52.1% n=170, 31.4% Japanese) physical activities (n=56, 38.4% n=295, 54.5%, respectively). proportion mentioning activity smaller (n=62, 11.5%) (n=31, 21.2%). 76 170 60% increasing intakes specific nutrients food groups component increase vegetables 40.8%) (n=48, 28.2%), followed by protein fruits grains potatoes legumes less reducing energy intake; meal timing eating frequency; decrease alcohol confectioneries Conclusions characterized user interest management suggested potential as information source management. Japanese, some differences present, indicating that users exposed different
Язык: Английский
Процитировано
0
Journal of Medical Internet Research, Год журнала: 2025, Номер 27, С. e54543 - e54543
Опубликована: Март 5, 2025
Chronic obstructive pulmonary disease (COPD) ranks among the leading causes of global mortality, and COVID-19 has intensified its challenges. Beyond evident physical effects, long-term psychological effects are not fully understood. This study aims to unveil trends patterns in populations with COPD throughout pandemic beyond via large-scale Twitter mining. A 2-stage deep learning framework was designed this study. The first stage involved a data retrieval procedure identify non-COPD users collect their daily tweets. In second stage, mining leveraged various algorithms extract demographic characteristics, hashtags, topics, sentiments from collected Based on these data, multiple analytical methods, namely, odds ratio (OR), difference-in-difference, emotion pattern were used examine effects. cohort 15,347 identified that we database, comprising over 2.5 billion tweets, spanning January 2020 June 2023. attentiveness toward significantly affected by gender, age, occupation; it lower females (OR 0.91, 95% CI 0.87-0.94; P<.001) than males, higher adults aged 40 years older 7.23, 6.95-7.52; those younger years, individuals socioeconomic status 1.66, 1.60-1.72; status. Across duration, showed decreasing concerns for increasing health-related concerns. After middle phase (July 2021), distinct decrease contrasted sharply upward trend users. Notably, post-COVID era (June 2023), reduced levels joy trust increased fear compared COVID-19. Moreover, adults, heightened counterparts. Our analysis results suggest experienced mental stress era. underscores importance developing tailored interventions support systems account diverse population characteristics.
Язык: Английский
Процитировано
0
Education Sciences, Год журнала: 2025, Номер 15(3), С. 367 - 367
Опубликована: Март 16, 2025
This study aimed to understand university staff’s perspectives and approaches regarding students’ use of generative artificial intelligence (GenAI) in an academic setting. Currently, there is a lack social media analyses exploring this area. For the present study, qualitative content analysis was conducted on posts about ChatGPT shared via X (formerly Twitter). enabled sample n = 194 be captured. Three main themes were generated: (1) perceptions GenAI’s impact higher education skepticism towards its management; (2) GenAI assessment: prevention detection approaches; (3) future-focused GenAI-enhanced learning assessment. Some staff see as threat their profession have stressed need for guidance. Staff discussed both positive negative impacts student learning. want prevent assessments, whilst others embrace tool. These findings can inform guidance future.
Язык: Английский
Процитировано
0
Education and Information Technologies, Год журнала: 2025, Номер unknown
Опубликована: Май 3, 2025
Язык: Английский
Процитировано
0
International Journal of Environmental Research and Public Health, Год журнала: 2025, Номер 22(5), С. 686 - 686
Опубликована: Апрель 26, 2025
TikTok is a popular social media platform offering educational opportunities for health issues such as rheumatic fever, which primarily affects 4–19-year-olds globally. This content analysis aimed to explore the type of fever available and on role that representation may play in shaping public understanding attitudes. The top 100 video posts under hashtag #rheumaticfever were examined. Descriptive statistics used summarize metrics deductive thematic enabled coding content. majority users creating patients or family members people suffering from (42%), followed by professionals (30%). Forty-three percent videos had negative connotations personal stories most commonly coded (42%). In terms content, symptoms (n = 59), medications/treatment 37) disease pathogenesis 36) common themes. Misinformation was identified 3% videos. study provides unique insight into who making fever-related framing narratives are exposed to. There future promotion strategies focus gaps this study, including information where seek services, primordial prevention recovery.
Язык: Английский
Процитировано
0
Journal of Medical Internet Research, Год журнала: 2023, Номер 25, С. e44897 - e44897
Опубликована: Сен. 12, 2023
The innovative method of sentiment analysis based on an emotional lexicon shows prominent advantages in capturing information, such as individual attitudes, experiences, and needs, which provides a new perspective for emotion recognition management patients with breast cancer (BC). However, at present, the field BC is limited, there no this field. Therefore, it necessary to construct that conforms characteristics so provide tool accurate identification patients' emotions their personalized management.
Язык: Английский
Процитировано
8
Journal of Multidisciplinary Healthcare, Год журнала: 2024, Номер Volume 17, С. 1561 - 1575
Опубликована: Апрель 1, 2024
With the advent of big data era, hospital information systems and mobile care systems, among others, generate massive amounts medical data. Data mining, as a powerful processing technology, can discover non-obvious by large-scale analyzing them in multiple dimensions. How to find effective hidden database apply it nursing clinical practice has received more attention from researchers.
Язык: Английский
Процитировано
2
Journal of Nursing Management, Год журнала: 2024, Номер 2024(1)
Опубликована: Янв. 1, 2024
Aim: This scoping review aimed to identify and synthesize the evidence in existing nursing studies that used natural language processing analyze social media data, relevant procedures, techniques, tools, ethical issues. Background: Social has widely integrated into both everyday life profession, resulting accumulation of extensive nursing-related data. The analysis such data facilitates generation thereby aiding formation better policies. Natural emerged as a promising methodology for analyzing field nursing. However, extent applications remains unknown. Evaluation: A was conducted. PubMed, CINAHL, Web Science IEEE Xplore were searched. Studies screened based on inclusion criteria. Relevant extracted summarized using descriptive approach. Key Issues: In total, 38 included final analysis. Topic modeling sentiment most frequently employed techniques. topic algorithm latent Dirichlet allocation. dictionary-based approach utilized approach, National Research Council Sentiment Emotion Lexicons dictionary. tools Python (NLTK, Jieba, spaCy, KoNLP library) R (LDAvis, Jaccard, ldatuning, SentiWordNet packages) documented. significant proportion did not obtain approval conduct anonymization users' information. Conclusion: techniques adoption procedures offering valuable resources researchers who are interested discovering knowledge from study also highlighted application is still emerging, indicating opportunities future methodological improvements. Implications Nursing Management: There need standardized management framework conducting reporting findings could inform development regulatory policies by authorities.
Язык: Английский
Процитировано
2