Dataset Information

Collaborative prediction of web service quality based on user preferences and services.

ABSTRACT: The prediction of web service quality plays an important role in improving user services; it has been one of the most popular topics in the field of Internet services. In traditional collaborative filtering methods, differences in the personalization and preferences of different users have been ignored. In this paper, we propose a prediction method for web service quality based on different types of quality of service (QoS) attributes. Different extraction rules are applied to extract the user preference matrices from the original web data, and the negative value filtering-based top-K method is used to merge the optimization results into the collaborative prediction method. Thus, the individualized differences are fully exploited, and the problem of inconsistent QoS values is resolved. The experimental results demonstrate the validity of the proposed method. Compared with other methods, the proposed method performs better, and the results are closer to the real values.

SUBMITTER: Song Y

PROVIDER: S-EPMC7721135 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Collaborative prediction of web service quality based on user preferences and services.

Song Yang Y

PloS one 20201207 12

The prediction of web service quality plays an important role in improving user services; it has been one of the most popular topics in the field of Internet services. In traditional collaborative filtering methods, differences in the personalization and preferences of different users have been ignored. In this paper, we propose a prediction method for web service quality based on different types of quality of service (QoS) attributes. Different extraction rules are applied to extract the user p ...[more]

PMID: 33284801

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Project description:BackgroundHealth-related millennium development goals are off track in most of the countries in the sub-Saharan African region. Lack of access to, and low utilization of essential services and high-impact interventions, together with poor quality of health services, may be partially responsible for this lack of progress. We explored whether improvement approaches can be applied to increase utilization of antenatal care (ANC), health facility deliveries, prevention of mother-to-child transmission services and adherence to ANC standards of care in a rural district in Kenya. We targeted improvement of ANC services because ANC is a vital point of entry for most high-impact interventions targeting the pregnant mother.MethodsHealthcare workers in 21 public health facilities in Kwale District, Kenya formed improvement teams that met regularly to examine performance gaps in service delivery, identify root causes of such gaps, then develop and implement change ideas to address the gaps. Data were collected and entered into routine government registers by the teams on a daily basis. Data were abstracted from the government registers monthly to evaluate 20 indicators of care quality for improvement activities. For the purposes of this study, aggregate data for the district were collected from the District Health Management Office.ResultsThe number of pregnant mothers starting ANC within the first trimester and those completing at least four ANC checkups increased significantly (from 41 (8%) to 118 (24%) p=0.002 and from 186 (37%) to 316 (64%) p<0.001, respectively). The proportions of ANC visits in which provision of care adhered to the required standards increased from <40% to 80-100% within three to six months (X2 for trend 4.07, p<0.001). There was also a significant increase in the number of pregnant women delivering in health facilities each month from 164 (33%) to 259 (52%) (p=0.012).ConclusionImprovement approaches can be applied in rural health care facilities in low-income settings to increase utilization of services and adherence to standards of care. Using the quality improvement methodology to target integrated health services is feasible. Longer follow-up periods are needed to gather more evidence on the sustainability of quality improvement initiatives in low-income countries.

Project description:BackgroundTelephone-based digital triage is widely used by services that provide urgent care. This involves a call handler or clinician using a digital triage tool to generate algorithm-based care advice, based on a patient's symptoms. Advice typically takes the form of signposting within defined levels of urgency to specific services or self-care advice. Despite wide adoption, there is limited evaluation of its impact on service user experience, service use and clinical outcomes; no previous systematic reviews have focussed on services that utilise digital triage, and its impact on these outcome areas within urgent care. This review aims to address this need, particularly now that telephone-based digital triage is well established in healthcare delivery.MethodsStudies assessing the impact of telephone-based digital triage on service user experience, health care service use and clinical outcomes will be identified through searches conducted in Medline, Embase, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Web of Science and Scopus. Search terms using words relating to digital triage and urgent care settings (excluding in-hours general practice) will be used. The review will include all original study types including qualitative, quantitative and mixed methods studies; studies published in the last 20 years and studies published in English. Quality assessment of studies will be conducted using the Mixed Methods Appraisal Tool (MMAT); a narrative synthesis approach will be used to analyse and summarise findings.DiscussionThis is the first systematic review to evaluate service user experience, service use and clinical outcomes related to the use of telephone-based digital triage in urgent care settings. It will evaluate evidence from studies of wide-ranging designs. The narrative synthesis approach will enable the integration of findings to provide new insights on service delivery. Models of urgent care continue to evolve rapidly, with the emergence of self-triage tools and national help lines. Findings from this review will be presented in a practical format that can feed into the design of digital triage tools, future service design and healthcare policy.Systematic review registrationThis systematic review is registered on the international database of prospectively registered systematic reviews in health and social care (PROSPERO 2020 CRD42020178500 ).

Project description:BackgroundThe fast development of mobile technologies provides promising opportunities to fulfill the largely unmet needs of treatment and recovery for mood disorders in China. However, with limited research from China, the development of acceptable and usable web-based mental health services that are based on preference of patients from China still remains a challenge.ObjectiveThe aims of this paper were to (1) understand the experience of patients with mood disorders on current accessibility of mental health support in China; and (2) to get insights on patients' preferences on web-based mental health services, so as to provide suggestions for the future development of web-based mental health services for mood disorders in China.MethodsSemi-structured interviews were conducted with 10 female participants diagnosed with depression and 7 with bipolar disorder (5 female and 2 male) via the audio chat function of WeChat. The interviews were 60-90 min long and were audio-recorded and transcribed verbatim. Thematic analysis was conducted using QSR NVivo 12 to identify and establish themes and sub-themes.ResultsTwo major sections of results with a total of 5 themes were identified. The first section was participants' treatment and recovery experience, which included three main themes: (1) professional help seeking experience; (2) establishment of self-help strategies; and (3) complex experiences from various source of social support. The second section was focused on preferences for web-based services, which were divided into two themes: (1) preferred support and features, with three sub-themes: as channels to access professionals, as databases for self-help resources, and as sources of social support; and (2) preferred modality.ConclusionsThe access to mental health support for personal recovery of mood disorders in China was perceived by participants as not sufficient. Web-based mental health services that include professional, empathetic social support from real humans, and recovery-oriented, personalized self-help resources are promising to bridge the gap. The advantages of social media like WeChat were emphasized for patients in China. More user-centered research based on social, economic and cultural features are needed for the development of web-based mental health services in China.

Dataset Information

Collaborative prediction of web service quality based on user preferences and services.

Publications

Collaborative prediction of web service quality based on user preferences and services.

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