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      Retracted: Management Strategy of Alzheimer's Patients under the Medical-Care Integration Model Based on Big Data Evaluation

      retraction
      BioMed Research International
      Hindawi

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          Abstract

          This article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. This investigation has uncovered evidence of one or more of the following indicators of systematicmanipulation of the publication process: Discrepancies in scope Discrepancies in the description of the research reported Discrepancies between the availability of data and the research described Inappropriate citations Incoherent, meaningless and/or irrelevant content included in the article Peer-review manipulation The presence of these indicators undermines our confidence in the integrity of the article's content and we cannot, therefore, vouch for its reliability. Please note that this notice is intended solely to alert readers that the content of this article is unreliable. We have not investigated whether authors were aware of or involved in the systematic manipulation of the publication process. Wiley and Hindawi regrets that the usual quality checks did not identify these issues before publication and have since put additional measures in place to safeguard research integrity. We wish to credit our own Research Integrity and Research Publishing teams and anonymous and named external researchers and research integrity experts for contributing to this investigation. The corresponding author, as the representative of all authors, has been given the opportunity to register their agreement or disagreement to this retraction. We have kept a record of any response received.

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          Management Strategy of Alzheimer's Patients under the Medical-Care Integration Model Based on Big Data Evaluation

          In the context of the era of big data, the management of Alzheimer's patients has aroused widespread concern in the society. What should the elderly and people with dementia do and how the society should accommodate these special groups have aroused heated discussions in the society. The goal of the medical-nursing integration model is to realize the integrated model of medical care-nursing-rehabilitation-old care, and to better satisfy the needs by providing medical services, rehabilitation care, and health management. The medical needs of the elderly can help the elderly maintain a healthy state; the elderly care needs can be better met through elderly care services, and the burden on families and society can be reduced. With the advancement of the medical-care integration model, new solutions have been provided for the management of senile dementia patients. Therefore, under the medical-care integration model, this paper managed Alzheimer's patients based on the big data algorithm based on association rules and compared it with the management of Alzheimer's patients under the traditional model, and drew the following conclusions: compared with the management satisfaction of Alzheimer's patients under the traditional model, family members and patients' total satisfaction with nursing management under the medical-care integration model was greatly improved; compared with the management of Alzheimer's patients under the traditional model, the incidence of adverse events in the management of Alzheimer's patients under the medical-care integration model was greatly reduced, which was reduced to 17.6%; under the medical-care integration model, the anxiety and depression scores of the elderly patients with dementia decreased rapidly; under the medical-care integration model, the living ability of senile dementia patients has been greatly improved; the use of the medical-care integration model to manage senile dementia patients has greatly improved the sleep quality, mental quality, and quality of life of senile dementia patients.
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            Author and article information

            Contributors
            Journal
            Biomed Res Int
            Biomed Res Int
            BMRI
            BioMed Research International
            Hindawi
            2314-6133
            2314-6141
            2023
            12 July 2023
            12 July 2023
            : 2023
            : 9761292
            Affiliations
            Article
            10.1155/2023/9761292
            10356491
            dc444605-d31d-4a95-9c74-d2932653262a
            Copyright © 2023 BioMed Research International.

            This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

            History
            : 11 July 2023
            : 11 July 2023
            Categories
            Retraction

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