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Fulltext An empirical study on Resource Description Framework reification for trustworthiness in knowledge graphs

Govindapillai S, Soon LK, Haw SC

F1000Res, 2021;10:881.
PMID: 34900233 DOI: 10.12688/f1000research.72843.2

Knowledge graph (KG) publishes machine-readable representation of knowledge on the Web. Structured data in the knowledge graph is published using Resource Description Framework (RDF) where knowledge is represented as a triple (subject, predicate, object). Due to the presence of erroneous, outdated or conflicting data in the knowledge graph, the quality of facts cannot be guaranteed. Trustworthiness of facts in knowledge graph can be enhanced by the addition of metadata like the source of information, location and time of the fact occurrence. Since RDF does not support metadata for providing provenance and contextualization, an alternate method, RDF reification is employed by most of the knowledge graphs. RDF reification increases the magnitude of data as several statements are required to represent a single fact. Another limitation for applications that uses provenance data like in the medical domain and in cyber security is that not all facts in these knowledge graphs are annotated with provenance data. In this paper, we have provided an overview of prominent reification approaches together with the analysis of popular, general knowledge graphs Wikidata and YAGO4 with regard to the representation of provenance and context data. Wikidata employs qualifiers to include metadata to facts, while YAGO4 collects metadata from Wikidata qualifiers. However, facts in Wikidata and YAGO4 can be fetched without using reification to cater for applications that do not require metadata. To the best of our knowledge, this is the first paper that investigates the method and the extent of metadata covered by two prominent KGs, Wikidata and YAGO4.
Fulltext Risk factors of gestational diabetes mellitus in the refugee population in Gaza Strip: a case-control study

AlKasseh AS, Zaki NM, Aljeesh YI, Soon LK

East Mediterr Health J, 2014 Jan 09;19 Suppl 3:S12-8.
PMID: 24995734

To determine the risk factors of gestational diabetes mellitus in refugee populations in the Gaza Strip, a retrospective case-control study was performed between March and June 2011 in the United Nations Relief and Works Agency (UNRWA) primary health care clinics. Data were collected on maternal sociodemographics and the prevalence of diagnosed GDM according to World Health Organization criteria from clinics where postnatal Palestinian refugee women had been diagnosed with GDM during previous pregnancies, and non-GDM women were used as controls. Sociodemographic characteristics, pre-pregnancy body-mass index (BMI), obstetrics history and family history of diabetes were used as study variables. In total, 189 incident cases of GDM were identified. The most significant risk factors for GDM were: history of miscarriage more than once; overweight before pregnancy; history of stillbirth; history of caesarean birth; and positive family history of diabetes mellitus.
Depression, anxiety and stress among metastatic breast cancer patients on chemotherapy in China

Guo YQ, Ju QM, You M, Liu Y, Yusuf A, Soon LK

BMC Nurs, 2023 Feb 06;22(1):33.
PMID: 36747213 DOI: 10.1186/s12912-023-01184-1

OBJECTIVE: This study aimed to assess the level of depression, anxiety and stress among metastatic breast cancer (MBC) patients undergoing chemotherapy (CT) in Beijing, China.
METHODS: A cross-sectional study was conducted on 176 MBC women receiving CT, selected by purposive sampling. Data were collected using self-administered questionnaires that included participants' socio-demographic status, DASS-21 and Brief COPE. Data were analyzed using descriptive statistics and general linear regression analysis.
RESULTS: The incidence of depression, anxiety and stress among MBC women were 52.3%, 60.2% and 36.9%, respectively. General linear regression showed that age, marital status, monthly income, physical functioning, emotional functioning, pain, dyspnea, and appetite loss were associated with depression. All variance determined the depression (R2) was 35.6%. Marital status, self-blame and behavioral disengagement were the predictors of stress and accounted for a 35.4% stress variance in MBC women.
CONCLUSION: Our study demonstrated depression, anxiety, and stress prevalence are high in MBC women. Assessment of psychological distress (depression, anxiety, and stress) is important to recognise MBC patients who need help and further medical and mental help support. This study's findings can increasingly highlight that depression, anxiety, and stress are substantial problems in MBC patients. Therefore, psychological interventions are needed to reduce depression, anxiety, and stress for MBC patients.
Fulltext Knowledge and Attitude about Stem Cells and Their Application in Medicine among Nursing Students in Universiti Sains Malaysia, Malaysia

Lye JL, Soon LK, Wan Ahmad WA, Tan SC

Malays J Med Sci, 2015 Jul-Aug;22(4):23-31.
PMID: 26715905 MyJurnal

Stem cell research has been extensively explored worldwide to enhance human health in medical setting. Nevertheless, there is currently no full understanding of the stem cell knowledge and attitude levels among student nurses in Malaysia. This study aimed to assess the level of stem cell knowledge, attitude toward stem cell application in medicine, and its association with years of education, among Universiti Sains Malaysia (USM) undergraduate nursing students.
Self-help digital mental health intervention in improving burnout and mental health outcomes among healthcare workers: A narrative review

Aye LM, Tan MM, Schaefer A, Thurairajasingam S, Geldsetzer P, Soon LK, et al.

Digit Health, 2024;10:20552076241278313.
PMID: 39257871 DOI: 10.1177/20552076241278313

BACKGROUND: Healthcare workers face burnout from high job demands and prolonged working conditions. While mental health services are available, barriers to access persist. Evidence suggests digital platforms can enhance accessibility. However, there is a lack of systematic reviews on the effectiveness of digital mental health interventions (DMHIs) for healthcare professionals. This review aims to synthesize evidence on DMHIs' effectiveness in reducing burnout, their acceptability by users, and implementation lessons learned.
METHOD: This Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA)-guided review included 12 RCTs on DMHIs for healthcare professionals, published before 31 May 2024. The primary focus was on burnout, with secondary outcomes related to mental health and occupation. Quality appraisal used Cochrane risk of bias tools. A narrative synthesis explored DMHIs' effectiveness, acceptability, utilization, and implementation lessons.
RESULTS: Significant improvements in mental health outcomes were observed in 10 out of 16 RCTs. Burnout and its constructs showed significant improvement in five RCTs. Studies that measured the acceptability of the interventions reported good acceptability. Factors such as attrition, intervention design and duration, cultural sensitivities, flexibility and ease of use, and support availability were identified as key implementation considerations.
CONCLUSIONS: Web-based DMHIs positively impact burnout, mental health, and occupational outcomes among healthcare professionals, as shown in most RCTs. Future research should enhance DMHIs' effectiveness and acceptability by addressing identified factors. Increasing awareness of DMHIs' benefits will foster acceptance and positive attitudes. Lessons indicate that improving user engagement and effectiveness requires a multifaceted approach.