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| | <blockquote> <div style="background: Lavender; padding: 20px; border: 1px solid gray;">'''Note:''' Community members can edit this page.</div></blockquote> |
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| You can share your own app files on this page. Please include a brief description of your app files. | | You can share your own app files on this page. Please include a brief description of your app files. |
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| <blockquote>
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| '''''Reference files'''''
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| [[File: ComplaintAssessmentPrompt-Schema.zip]]
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| [[File: openFDA device_search_fields.xlsx]]
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| {| role="presentation" class="wikitable mw-collapsible mw-collapsed"
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| | <strong>Settings.txt</strong>
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| | CONFIG:OpenFDA-Vertex-V1.0 // identifies schema version
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| |https_url1:api.fda.gov/device/event.json? // openFDA api for source data
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| |limit1:100
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| |report_title:Complaint Reportability Assessment
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| |data1_fields: // data fields to be analyzed in MDR query results
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| |KEYWORD1-SEARCH: // general keyword search terms (matched in any field)
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| |SEARCH1-FIELDS:SEARCH1-TERMS // query search fields and terms
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| |date_received:[20200101+TO+20240315]
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| |device.device_report_product_code:(FMF)
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| |SORT1-FIELD:SORT1-TERM // query results sorting
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| |date_received:desc
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| |COUNT1-FIELD:COUNT1-TERM // query count field/term
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| |AI CONFIGURATION & PROMPTS:
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| |// Prompt that summarizes the product problem
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| |AI-ProblemSummaryPrompt:Describe the following product problem in a couple of sentences. Include essential details.
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| |// Prompt that counts the instances of items
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| |AI-CountSummaryPrompt:List each unique item along with the count for each item.
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| |// Prompt that summarizes the problem similarity to a product problem
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| |AI-ProblemSimilarityPrompt:Analyze the similarity of this problem ({{problem_input}}) to the following problem. Use semantic similarity measurement. Present the result with the similarity score as a percentage followed by a concise explanation of the similarity score.
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| |// Prompt that analyzes the similarity between input problem and MAUDE results matching query criteria
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| |AI-MDRSimilarityPrompt:Match the most similar problem reports to this ({{problem_input}}). Include all important details. Include all reference numbers. Include the similarity scores as a percentage. Explain the similarities. Use semantic similarity measurements. Present results in descending similarity scores. For each matching result, include the matching report number followed by the similarity score followed by a brief description of the problem followed by an explanation of the similarities.
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| |// Prompt that summarizes the most similar problems
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| |AI-ReportSummaryPrompt: List the top matching problem reports with the highest similarity scores. Include all details about the matching problems.
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| |// Maximum number of words in each intermediate report.
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| |AI-WordsPerReport:1500
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| |// LLM Pro-Vision temperature index (0..1f)
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| |AI-ModelTemperature:0.05
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| |// LLM Pro-Vision TOP_P index (0..1f)
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| |AI-ModelTopP:0.4
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| |// LLM Pro-Vision TOP_K (Number of words for next word prediction)
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| |AI-ModelTopK:10
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| |// LLM Maximum output words (1..2048)
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| |AI-ModelMaxOutputTokens:2048
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| |}
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| </blockquote>
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| ==Sample App Files== | | ==Sample App Files== |
| [[Media: Basic-Complaint-Assessment-with-prompt.zip]] | | [[Media: Basic-Complaint-Assessment-with-prompt.zip]] |
| Description: Settings includes filter on product code FMF and date range from 2020 to present. Prompts for matching top similar product problem codes and individual MAUDE reports using semantic similarity. | | Description: Settings include MAUDE filters on product code (FMF) and date range (from 2020 to present). Prompts for matching the given complaint information against the top similar product problem codes, and the most similar individual MAUDE reports using semantic similarity evaluation. |