Assessing the accuracy and efficiency of Chat GPT-4 Omni (GPT-4o) in biomedical statistics Article Swipe
Anusha Sultan Meo
,
N. W. Shaikh
,
Sultan Ayoub Meo
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.15537/smj.2024.45.12.20240454
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.15537/smj.2024.45.12.20240454
ChatGPT-4 Omni scored better over 80% in all 3 statistical datasets in a short period. GPT-4 Omni also produced accurate graphs and charts as commanded however it required explicit commands with clear instructions to avoid errors and omission of results to achieve appropriate results in biomedical data analysis.
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- Type
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- Language
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- https://smj.org.sa/content/smj/45/12/1383.full.pdf
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Assessing the accuracy and efficiency of Chat GPT-4 Omni (GPT-4o) in biomedical statisticsWork title
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articleOpenAlex work type
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enPrimary language
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2024Year of publication
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2024-12-01Full publication date if available
- Authors
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Anusha Sultan Meo, N. W. Shaikh, Sultan Ayoub MeoList of authors in order
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https://doi.org/10.15537/smj.2024.45.12.20240454Publisher landing page
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https://smj.org.sa/content/smj/45/12/1383.full.pdfDirect link to full text PDF
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diamondOpen access status per OpenAlex
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https://smj.org.sa/content/smj/45/12/1383.full.pdfDirect OA link when available
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Medicine, Statistics, MathematicsTop concepts (fields/topics) attached by OpenAlex
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4Total citation count in OpenAlex
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2025: 4Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.GPT-4 | 15 |
| abstract_inverted_index.avoid | 34 |
| abstract_inverted_index.clear | 31 |
| abstract_inverted_index.short | 13 |
| abstract_inverted_index.better | 3 |
| abstract_inverted_index.charts | 22 |
| abstract_inverted_index.errors | 35 |
| abstract_inverted_index.graphs | 20 |
| abstract_inverted_index.scored | 2 |
| abstract_inverted_index.achieve | 41 |
| abstract_inverted_index.however | 25 |
| abstract_inverted_index.period. | 14 |
| abstract_inverted_index.results | 39, 43 |
| abstract_inverted_index.accurate | 19 |
| abstract_inverted_index.commands | 29 |
| abstract_inverted_index.datasets | 10 |
| abstract_inverted_index.explicit | 28 |
| abstract_inverted_index.omission | 37 |
| abstract_inverted_index.produced | 18 |
| abstract_inverted_index.required | 27 |
| abstract_inverted_index.ChatGPT-4 | 0 |
| abstract_inverted_index.analysis. | 47 |
| abstract_inverted_index.commanded | 24 |
| abstract_inverted_index.biomedical | 45 |
| abstract_inverted_index.appropriate | 42 |
| abstract_inverted_index.statistical | 9 |
| abstract_inverted_index.instructions | 32 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 97 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 3 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.44999998807907104 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.72203043 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |