Expanding Consumer Health Vocabularies by Learning Consumer Health Expressions from Online Health Social Media

2015 ◽  
pp. 314-320 ◽  
Author(s):  
Ling Jiang ◽  
Christopher C. Yang
Keyword(s):  
Social Media ◽  
Consumer Health ◽  
Health Social Media

scholarly journals Medicated bodies: Mental distress, social media and affect

2016 ◽  
Vol 20 (2) ◽  
pp. 549-563 ◽  
Author(s):  
Ian Tucker ◽  
Lewis Goodings
Keyword(s):  
Mental Health ◽  
Social Media ◽  
Mental Distress ◽  
The Body ◽  
Psychiatric Medication ◽  
Social Media Site ◽  
Health Social Media ◽  
Care Practices ◽  
The Impact

Social media are increasingly being recruited into care practices in mental health. This article analyses how a major new mental health social media site ( www.elefriends.org.uk ) is used when trying to manage the impact of psychiatric medication on the body. Drawing on Henri Bergson’s concept of affection, analysis shows that Elefriends is used at particular moments of reconfiguration (e.g. change in dosage and/or medication), periods of self-experimentation (when people tailor their regimen by altering prescriptions or ceasing medication) and when dealing with a present bodily concern (showing how members have a direct, immediate relationship with the site). In addition, the analysis illustrates how users have to structure their communication to try to avoid ‘triggering’ distress in others. The article concludes by pointing to the need to focus on the multiple emerging relationships between bodies and social media in mental health, due to the ways the latter are becoming increasingly prominent technologies through which to experience the body when distressed.

scholarly journals An Automated Method To Enrich Consumer Health Vocabularies Using GloVe Word Embeddings and An Auxiliary Lexical Resource (Preprint)

2020 ◽  
Author(s):  
Mohammed Ibrahim ◽  
Susan Gauch ◽  
Omar Salman ◽  
Mohammed Alqahatani
Keyword(s):  
Social Media ◽  
Ground Truth ◽  
Consumer Health ◽  
Word Embeddings ◽  
Relative Improvement ◽  
Lexical Resource ◽  
Automated Method ◽  
Medical Terms ◽  
Media Platform ◽  
Novel Algorithms

BACKGROUND Clear language makes communication easier between any two parties. A layman may have difficulty communicating with a professional due to not understanding the specialized terms common to the domain. In healthcare, it is rare to find a layman knowledgeable in medical jargon which can lead to poor understanding of their condition and/or treatment. To bridge this gap, several professional vocabularies and ontologies have been created to map laymen medical terms to professional medical terms and vice versa. OBJECTIVE Many of the presented vocabularies are built manually or semi-automatically requiring large investments of time and human effort and consequently the slow growth of these vocabularies. In this paper, we present an automatic method to enrich laymen's vocabularies that has the benefit of being able to be applied to vocabularies in any domain. METHODS Our entirely automatic approach uses machine learning, specifically Global Vectors for Word Embeddings (GloVe), on a corpus collected from a social media healthcare platform to extend and enhance consumer health vocabularies (CHV). Our approach further improves the CHV by incorporating synonyms and hyponyms from the WordNet ontology. The basic GloVe and our novel algorithms incorporating WordNet were evaluated using two laymen datasets from the National Library of Medicine (NLM), Open-Access Consumer Health Vocabulary (OAC CHV) and MedlinePlus Healthcare Vocabulary. RESULTS The results show that GloVe was able to find new laymen terms with an F-score of 48.44%. Furthermore, our enhanced GloVe approach outperformed basic GloVe with an average F-score of 61%, a relative improvement of 25%. CONCLUSIONS This paper presents an automatic approach to enrich consumer health vocabularies using the GloVe word embeddings and an auxiliary lexical source, WordNet. Our approach was evaluated used a healthcare text downloaded from MedHelp.org, a healthcare social media platform using two standard laymen vocabularies, OAC CHV, and MedlinePlus. We used the WordNet ontology to expand the healthcare corpus by including synonyms, hyponyms, and hypernyms for each CHV layman term occurrence in the corpus. Given a seed term selected from a concept in the ontology, we measured our algorithms’ ability to automatically extract synonyms for those terms that appeared in the ground truth concept. We found that enhanced GloVe outperformed GloVe with a relative improvement of 25% in the F-score.

scholarly journals Reconciliation of patient/doctor vocabulary in a structured resource

2018 ◽  
Vol 25 (4) ◽  
pp. 1219-1231
Author(s):  
Mike Donald Tapi Nzali ◽  
Jérôme Aze ◽  
Sandra Bringay ◽  
Christian Lavergne ◽  
Caroline Mollevi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Health Care ◽  
Social Media ◽  
Health Care Professionals ◽  
Consumer Health ◽  
Simple Knowledge Organization System ◽  
Cancer Field ◽  
Knowledge Organization System ◽  
Statistical Approaches ◽  
Institut National Du Cancer

Today, social media is increasingly used by patients to openly discuss their health. Mining automatically such data is a challenging task because of the non-structured nature of the text and the use of many abbreviations and the slang terms. Our goal is to use Patient Authored Text to build a French Consumer Health Vocabulary on breast cancer field, by collecting various kinds of non-experts’ expressions that are related to their diseases and then compare them to biomedical terms used by health care professionals. We combine several methods of the literature based on linguistic and statistical approaches to extract candidate terms used by non-experts and to link them to expert terms. We use messages extracted from the forum on ‘ cancerdusein.org ’ and a vocabulary dedicated to breast cancer elaborated by the Institut National Du Cancer. We have built an efficient vocabulary composed of 192 validated relationships and formalized in Simple Knowledge Organization System ontology.

scholarly journals All that Glitters Is not Gold: Consumer Health Informatics and Education in the Era of Social Media and Health Apps

2016 ◽  
Vol 25 (01) ◽  
pp. 188-193 ◽  
Author(s):  
P. Staccini ◽  
L. Fernandez-Luque ◽  
Keyword(s):  
Social Media ◽  
Health Literacy ◽  
Health Care Professionals ◽  
Health Informatics ◽  
Health Management ◽  
Digital Health ◽  
Unintended Consequences ◽  
Consumer Health Informatics ◽  
Consumer Health ◽  
Chronic Patients

Summary Objective: To summarize the state of the art published during the year 2015 in the areas related to consumer health informatics and education with a special emphasis on unintended consequences of applying mobile and social media technologies in that domain. Methods: We conducted a systematic review of articles published in PubMed with a predefined set of queries, which lead to the selection of over 700 potential relevant articles. Section editors screened those papers on the title, abstract, and finally complete paper basis, taking into account the papers’ relevance for the section topic. The 15 most representative papers were finally selected by consensus between the two section editors and submitted for full review and scoring to external reviewers and the yearbook editors. Based on the final scoring, section editors selected the best five papers. Results: The five best papers can be grouped in two major areas: 1) Digital health literacy and 2) Quality and safety concerns. Regarding health literacy issues of patients with chronic conditions such as asthma, online interventions should rather focus on changing patient beliefs about the disease than on supporting them in the management of their pathology since personally controlled health management systems do not show expected benefits,. Nevertheless, encouraging and training chronic patients for an active online health information–seeking behaviour substantially decreases state anxiety level. Regarding safety and privacy issues, even recommended health-related apps available on mobile phones do not guarantee personal data protection. Furthermore, the analysis indicated that patients undergoing Internet interventions experienced at least one adverse event that might be related to treatment. At least, predictive factors have been identified in order to credit or not a health rumour. Conclusions: Trusting digital and connected health can be achieved if patients, health care professionals, and industrials build a shared model of health data management integrating ethics rules. Only increasing efforts in education with regards of digital health would help reach this goal., This would not resolve all frauds and security issues but at least improve their detection.

scholarly journals Social Media and Patient Health Outcomes

2014 ◽  
Vol 23 (01) ◽  
pp. 195-198 ◽  
Author(s):  
N. Douali ◽  
P. Staccini ◽  
Keyword(s):  
Social Media ◽  
Health Informatics ◽  
Semantic Annotation ◽  
Practical Method ◽  
Consumer Health Informatics ◽  
Consumer Health ◽  
New Findings ◽  
Excellent Research ◽  
Patient Health ◽  
Health Communities

Summary Objectives: To provide a review of the current excellent research published in the field of Consumer Health Informatics. Method: We searched MEDLINE® and WEB OF SCIENCE® databases for papers published in 2013 in relation with Consumer Health Informatics. The authors identified 16 candidate best papers, which were then reviewed by four reviewers. Results: Five out of the 16 candidate papers were selected as best papers. One paper presents the key features of a system to automate the collection of web-based social media content for subsequent semantic annotation. This paper emphasizes the importance of mining social media to collect novel data from which new findings in drug abuse research were uncovered. The second paper presents a practical method to predict how a community structure would impact the spreading of information within the community. The third paper presents a method for improving the quality of online health communities. The fourth presents a new social network to allow the monitoring of the evolution of individuals’ health status and diagnostic deficiencies, difficulties or barriers in rehabilitation. The last paper reports on teenage patients’ perception on privacy and social media. Conclusion: Selected papers not only show the value of using social media in the medical field but how to use these media to detect emergent diseases or risks, inform patients, promote disease prevention, and follow patients’ opinion on healthcare resources.

scholarly journals Studying Unemployment Effects on Mental Health: Social Media versus Traditional Approach

2020 ◽  
Author(s):  
Samara Ahmed ◽  
Adil E. Rajput ◽  
Akil Sarirete ◽  
Asmaa Aljaberi ◽  
Ohoud Alghanem ◽  
...  
Keyword(s):  
Mental Health ◽  
Social Media ◽  
Traditional Approach ◽  
Human Life ◽  
Financial Strain ◽  
Involuntary Unemployment ◽  
Social Exchanges ◽  
Medical Practitioners ◽  
Health Social Media ◽  
Insight Into

Social media, traditionally reserved for social exchanges on the net, has been increasingly used by researchers to gain insight into different facets of human life. Unemployment is an area that has gained attention by researchers in various fields. Medical practitioners especially in the area of mental health have traditionally monitored the effects of involuntary unemployment with great interest. In this work, we compare the feedback gathered from social media using crowdsourcing techniques to results obtained prior to the advent of Big Data. We find that the results are consistent in terms of 1) financial strain is the biggest stressor and concern, 2) onslaught of depression is typical and 3) possible interventions including reemployment and support from friends and family is crucial in minimizing the effects of involuntary unemployment. Lastly, we could not find enough evidence to study effects on physical health and somatization in this work.

scholarly journals Exploring Spanish health social media for detecting drug effects

2015 ◽  
Vol 15 (S2) ◽  
Author(s):  
Isabel Segura-Bedmar ◽  
Paloma Martínez ◽  
Ricardo Revert ◽  
Julián Moreno-Schneider
Keyword(s):  
Social Media ◽  
Drug Effects ◽  
Health Social Media ◽  
Spanish Health

scholarly journals Personal Health and Consumer Informatics

2013 ◽  
Vol 22 (01) ◽  
pp. 159-161 ◽  
Author(s):  
M. C. Gibbons
Keyword(s):  
Social Media ◽  
Chronic Pain ◽  
Health Outcomes ◽  
Health Informatics ◽  
Controlled Trial ◽  
Personal Health ◽  
Consumer Health ◽  
Randomized Controlled ◽  
The Impact ◽  
Media Interventions

Summary Objectives: The rapid evolution in the world-wide use of Social Media tools suggests the emergence of a global phenomenon that may have implications in the Personal Health and Consumer Health Informatics domains. However the impact of these tools on health outcomes is not known. The goal of this research was to review the randomized controlled trial (RCT) evidence of the impact of health oriented Social Media informatics tools on health outcomes. Methods: Evaluations of Social Media consumer health tools were systematically reviewed. Research was limited to studies published in the English language, published in Medline, published in the calendar year 2012 and limited to studies that utilized a RCT methodological design. Results and Conclusions: Two high quality Randomized Controlled Trials among over 600 articles published in Medline were identified. These studies indicate that Social Media interventions may be able to significantly improve pain control among patients with chronic pain and enhance weight loss maintenance among individuals attempting to lose weight. Significantly more research needs to be done to confirm these early findings, evaluate additional health outcomes and further evaluate emerging health oriented Social Media interventions. Chronic pain and weight control have both socially oriented determinants. These studies suggest that understanding the social component of a disease may ultimately provide novel therapeutic targets and socio-clinical interventional strategies.

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