Chatbot for Diagnosis of Pregnancy Disorders using Artificial Intelligence Markup Language (AIML) Article Swipe
Alam Rahmatulloh
,
Anjar Ginanjar
,
Irfan Darmawan
,
Neng Ika Kurniati
,
Erna Haerani
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.30630/joiv.7.1.1595
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.30630/joiv.7.1.1595
Artificial Intelligence has evolved in sophistication and widespread use. This study aims to create a chatbot application in the health sector regarding the early diagnosis of pregnancy disorders. Based on basic health research, only 44 percent of pregnant women know the danger signs of pregnancy. The chatbot application developed is expected to facilitate and increase knowledge for pregnant women about the danger signs of pregnancy, especially early diagnosis of pregnancy disorders. The chatbot application was developed with artificial intelligence technology based on Artificial Intelligence Markup Language with the question-answer concept using the Pandorabots framework. The test is carried out in two stages: functional and pattern matching. The functional testing uses the black-box testing method, and the pattern-matching test on the chatbot uses the sentence similarity and bigram methods based on user input and keywords similarity in the bot's knowledge base. The functional testing results show that the chatbot application runs well, with the eligibility criteria reaching 81.4% and the results of the keyword similarity test (pattern matching) are zero to one, in the sense that the value of one has the same similarity between user input and pattern. Meanwhile, the zero value has no similarities, so the bot will respond to it as free input. So it can be concluded that the bot can respond to user questions when the pattern and input have the same level of similarity.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.30630/joiv.7.1.1595
- https://joiv.org/index.php/joiv/article/download/1595/606
- OA Status
- diamond
- References
- 25
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4323075816
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4323075816Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.30630/joiv.7.1.1595Digital Object Identifier
- Title
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Chatbot for Diagnosis of Pregnancy Disorders using Artificial Intelligence Markup Language (AIML)Work title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2023Year of publication
- Publication date
-
2023-03-03Full publication date if available
- Authors
-
Alam Rahmatulloh, Anjar Ginanjar, Irfan Darmawan, Neng Ika Kurniati, Erna HaeraniList of authors in order
- Landing page
-
https://doi.org/10.30630/joiv.7.1.1595Publisher landing page
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https://joiv.org/index.php/joiv/article/download/1595/606Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
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https://joiv.org/index.php/joiv/article/download/1595/606Direct OA link when available
- Concepts
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Chatbot, Computer science, Artificial intelligence, Natural language processing, Matching (statistics), Test (biology), Similarity (geometry), Sentence, Word2vec, Medicine, Embedding, Biology, Paleontology, Pathology, Image (mathematics)Top concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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25Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W3015927118, https://openalex.org/W2893098883, https://openalex.org/W3022161378, https://openalex.org/W4296982224, https://openalex.org/W4312674116, https://openalex.org/W3009335665, https://openalex.org/W3199186123, https://openalex.org/W4283756071, https://openalex.org/W3102575759, https://openalex.org/W4280628993, https://openalex.org/W2664267452, https://openalex.org/W3131571875, https://openalex.org/W2999911199, https://openalex.org/W4313008974, https://openalex.org/W4293193852, https://openalex.org/W3207535763, https://openalex.org/W2932840925, https://openalex.org/W2161466446, https://openalex.org/W2284847025, https://openalex.org/W2403487456, https://openalex.org/W2977279011, https://openalex.org/W2806617520, https://openalex.org/W2171180773, https://openalex.org/W3088527916, https://openalex.org/W2220303852 |
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