Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Samer Abdulateef Waheeb"'
Autor:
Samer Abdulateef Waheeb
Publikováno v:
Applied Sciences, Vol 14, Iss 1, p 300 (2023)
This paper discusses the challenges associated with a class imbalance in medical data and the limitations of current approaches, such as machine multi-task learning (MMTL), in addressing these challenges. The proposed solution involves a novel hybrid
Externí odkaz:
https://doaj.org/article/dac3daffa77245dba931f4127af8c2e9
Publikováno v:
Biomolecules, Vol 11, Iss 8, p 1093 (2021)
Attention Deficit Hyperactivity Disorder (ADHD) is a brain disorder with characteristics such as lack of concentration, excessive fidgeting, outbursts of emotions, lack of patience, difficulty in organizing tasks, increased forgetfulness, and interru
Externí odkaz:
https://doaj.org/article/c9ea7a01372a4bc2b76d37d0cf14f4bd
Publikováno v:
Brain Sciences, Vol 10, Iss 10, p 754 (2020)
Autism disorder, generally known as Autism Spectrum Disorder (ASD) is a brain disorder characterized by lack of communication skills, social aloofness and repetitions in the actions in the patients, which is affecting millions of the people across th
Externí odkaz:
https://doaj.org/article/3bc39806fd924ea596b6a970bc3126cb
Publikováno v:
Information, Vol 11, Iss 5, p 281 (2020)
Patients’ discharge summaries (documents) are health sensors that are used for measuring the quality of treatment in medical centers. However, extracting information automatically from discharge summaries with unstructured natural language is consi
Externí odkaz:
https://doaj.org/article/a38cef3b226a4b22bb6aa3d07044365f
Autor:
Samer Abdulateef Waheeb
Publikováno v:
Computer Systems Science and Engineering. 46:981-998
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ce986080759fc943930eff6ce2a758f
https://doi.org/10.32604/csse.2023.035753
https://doi.org/10.32604/csse.2023.035753
Publikováno v:
Malaysian Journal of Computer Science. 35:1-20
Extracting information using an automated system from unstructured medical documents related to patients discharge summaries in the health care centers is considered a big challenge. Sentiment analysis of medical records has gained significant attent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc4a15ca997829850b970a5141310bac
https://doi.org/10.22452/mjcs.vol35no1.1
https://doi.org/10.22452/mjcs.vol35no1.1
Publikováno v:
Electronics; Volume 11; Issue 5; Pages: 715
Sentiment Analysis (SA) is a technique to study people’s attitudes related to textual data generated from sources like Twitter. This study suggested a powerful and effective technique that can tackle the large contents and can specifically examine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::651af0508a2becbcdb5abcb166b46d37
Publikováno v:
Information
Volume 11
Issue 5
Information, Vol 11, Iss 281, p 281 (2020)
Volume 11
Issue 5
Information, Vol 11, Iss 281, p 281 (2020)
Patients&rsquo
discharge summaries (documents) are health sensors that are used for measuring the quality of treatment in medical centers. However, extracting information automatically from discharge summaries with unstructured natural language
discharge summaries (documents) are health sensors that are used for measuring the quality of treatment in medical centers. However, extracting information automatically from discharge summaries with unstructured natural language
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40871e294ca0fdf2539d9e8a0c60c29f