Add wos sample results library

02-data/intermediate/wos_sample/52791f63b19b3f748802eeba69447a7c-mengi-mehak-and-mal/info.yaml

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+abstract: 'Background : Socio-behavioral disorders(SBD), a subtype of
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+  neurodevelopmental disorders (NDDs) characterized by social and
+
+  behavioral abnormalities, is a significant mental health concern
+
+  requiring immediate attention. Phenotypic knowledge, biological
+
+  understanding and the tools developed are all from western countries.
+
+  Numerous researches have been conducted that have scrutinized the
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+  performance accuracy of traditional-based SBD tools developed in western
+
+  culture. However, very little information is available for low or
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+  middle-income countries. Objective: In middle-income countries like
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+  India, there is a shortage of resources, trained professionals and a
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+  lack of knowledge regarding which tools are effective for a particular
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+  target group owing to which most of the cases go undetected and
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+  undiagnosed until adolescence. Motivated by the earlier discussion, this
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+  study''s objective is to consider all the pathways from traditional to
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+  Artificial Intelligence (AI) tools developed for diagnosing SBD in the
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+  Indian population. This research work expounds on the systematic study
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+  and analysis of various conventional and fuzzy-based expert systems
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+  introduced between 1925-2021. Methods: PRISMA guidelines were used to
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+  select the articles published on the web of science, SCOPUS, and EMBASE
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+  to identify relevant Indian studies. A total of 148 papers are
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+  considered impactful for SBD prediction using traditional or fuzzy-based
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+  techniques. This survey deliberated the work done by the different
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+  researchers, highlighting the limitations in the existing literature and
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+  the performance comparison of tools based on various parameters such as
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+  accuracy, sensitivity, specificity, target audience, along with their
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+  pros and cons. Some investigations have been designed, and the solutions
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+  to those were explored. Results : Results of this study indicated that
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+  most validated SBD tools present many barriers to use in the Indian
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+  population. Thus, to overcome these implications, an Artificial
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+  Intelligence(AI) framework, MRIMMTL, based on MRI multimodality transfer
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+  learning techniques(TL), is proposed to be implemented for the early
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+  detection of SBD subjects. (c) 2022 Elsevier B.V. All rights reserved.'
+affiliation: 'Mengi, M (Corresponding Author), Cent Univ, Dept Comp Sci \& Informat
+  Technol, Jammu 181143, India.
+
+  Mengi, Mehak; Malhotra, Deepti, Cent Univ, Dept Comp Sci \& Informat Technol, Jammu
+  181143, India.'
+article-number: '109633'
+author: Mengi, Mehak and Malhotra, Deepti
+author-email: '0550519.csit@cujammu.ac.in
+
+  deepti.csit@cujammu.ac.in'
+author_list:
+- family: Mengi
+  given: Mehak
+- family: Malhotra
+  given: Deepti
+da: '2023-09-28'
+doi: 10.1016/j.asoc.2022.109633
+earlyaccessdate: SEP 2022
+eissn: 1872-9681
+files: []
+issn: 1568-4946
+journal: APPLIED SOFT COMPUTING
+keywords: 'Socio-behavioral disorders; Neurodevelopmental disorders; Autism
+
+  spectrum disorder; Attention deficit hyperactivity disorder; ASD; ADHD;
+
+  Artificial intelligence; Fuzzy tools; Soft computing; Transfer learning;
+
+  Domain adaptation; Screening tools; Diagnostic tools; Biomarkers'
+keywords-plus: 'AUTISM SPECTRUM DISORDER; CHILD-BEHAVIOR-CHECKLIST; HIGH-FUNCTIONING
+
+  AUTISM; FUZZY COGNITIVE MAPS; ADHD RATING-SCALE; SCREENING TOOL;
+
+  ASPERGERS-DISORDER; 2-YEAR-OLDS STAT; YOUNG-CHILDREN; PRIMARY-CARE'
+language: English
+month: NOV
+number-of-cited-references: '152'
+papis_id: c826edb51ec99c93bdbb8d3aa5b9f6c8
+ref: Mengi2022systematicliterature
+tags:
+- review
+times-cited: '1'
+title: 'A systematic literature review on traditional to artificial intelligence based
+  socio-behavioral disorders diagnosis in India: Challenges and future perspectives'
+type: Review
+unique-id: WOS:000914071400001
+usage-count-last-180-days: '4'
+usage-count-since-2013: '5'
+volume: '129'
+web-of-science-categories: 'Computer Science, Artificial Intelligence; Computer Science,
+
+  Interdisciplinary Applications'
+year: '2022'