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ردیف | عنوان | نوع |
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1 |
Management of Pediatric Atopic Dermatitis by Primary Care Providers: A Systematic Review
مدیریت درماتیت آتوپیک اطفال توسط ارائه دهندگان مراقبت های اولیه: مرور سیستماتیک-2021 BACKGROUND: Primary care providers (PCPs), including
pediatricians and general practitioners, are often the first to see
children with eczema/atopic dermatitis (AD). Little is known
about management of pediatric AD by PCPs and adherence to
national guidelines.
OBJECTIVE: To review existing literature examining management components of pediatric AD (topical corticosteroids
[TCS], topical calcineurin inhibitors [TCIs], antihistamines,
bathing, emollients, and diet) by PCPs.
DATA SOURCES: PubMed/Medline and Embase.
STUDY ELIGIBILITY CRITERIA: English-language articles dated
2015 to 2020 reporting outcomes addressing management of
pediatric AD by PCPs.
STUDY APPRAISAL AND SYNTHESIS METHODS: Two authors
independently screened titles/abstracts, reviewed full-text
articles, extracted relevant data, and evaluated study quality.
Disagreements were resolved by a third author.
RESULTS: Twenty articles were included. Surveys and
national database analyses were the most common methodologies (n = 7 each). PCPs commonly prescribed TCS but had a
preference for low-potency agents, overprescribed nonsedating
antihistamines, and avoided TCIs. PCPs commonly recommended emollients, although this was not universal. Data characterizing nonmedication management were limited.
LIMITATIONS: Most studies did not examine individual patient
encounters, but rather relied on providers reporting their general behaviors. Provider behavior may vary based on country
of practice.
CONCLUSIONS AND IMPLICATIONS OF KEY FINDINGS: Knowledge and management gaps exist among PCPs in treating pediatric AD in key areas including knowledge of TCS safety
profiles and prescribing of TCIs. The current literature is
largely limited to small studies that evaluate prescribing
behaviors with limited data characterizing nonmedication
management, highlighting the need for future research in this
area.
KEYWORDS: atopic dermatitis | eczema | health care delivery | primary care provider | pediatric |
مقاله انگلیسی |
2 |
Multi-Class Multi-Level Classification Algorithm for Skin Lesions Classification using Machine Learning Techniques
الگوریتم طبقه بندی چند مرحله ای چند سطح برای طبقه بندی ضایعات پوستی با استفاده از تکنیک های یادگیری ماشین-2019 Skin diseases remain a major cause of disability worldwide and contribute approximately 1.79% of the global
burden of disease measured in disability-adjusted life years. In the United Kingdom alone, 60% of the
population suffer from skin diseases during their lifetime. In this paper, we propose an intelligent digital
diagnosis scheme to improve the classification accuracy of multiple diseases. A Multi-Class Multi-Level
(MCML) classification algorithm inspired by the “divide and conquer” rule is explored to address the research
challenges. The MCML classification algorithm is implemented using traditional machine learning and
advanced deep learning approaches. Improved techniques are proposed for noise removal in the traditional
machine learning approach. The proposed algorithm is evaluated on 3672 classified images, collected from
different sources and the diagnostic accuracy of 96.47% is achieved. To verify the performance of the proposed
algorithm, its metrics are compared with the Multi-Class Single-Level classification algorithm which is the
main algorithm used in most of the existing literature. The results also indicate that the MCML classification
algorithm is capable of enhancing the classification performance of multiple skin lesions. Keywords: skin lesion classification | computer-aided diagnosis | machine learning | deep learning | texture & colour features | melanoma classification | eczema classification |
مقاله انگلیسی |