Data Characteristics
Attenuated inactivated vaccine clinical trial prescreening data comes from diverse sources. These include Clinical Trial Protocols, IRB Approvals, Investigator Brochures, Case Report Forms (CRFs), Informed Consent Forms (ICFs), and previously published research papers and reports. Data update frequency is relatively low, typically updating with trial phase progression or protocol revisions. Document structure is primarily unstructured text, with PDF and Word documents making up a large proportion. Some data exists in structured table format within CRFs or database export files. Fields and units are highly specialized, for example, "antibody titer (IU/mL)," "viral load (copies/mL)," and "adverse event grade (CTCAE v5.0)," involving extensive biological and medical terminology and abbreviations.
Constraints on Knowledge Base Retrieval and Recall
The unstructured nature of attenuated inactivated vaccine clinical trial prescreening data makes traditional keyword matching inefficient for recall. It fails to accurately capture semantic relationships. The abundance of specialized terminology and abbreviations requires the retrieval system to have strong semantic understanding and synonym expansion capabilities. Low document update frequency means the knowledge base must ingest large amounts of historical data at once, ensuring data consistency. Diverse document formats increase the complexity of data cleaning and preprocessing. Structured data in Case Report Forms, in particular, requires special handling to extract key numerical values and related information. Furthermore, the medical field demands extremely high information accuracy. The precision and relevance of recall results directly impact prescreening judgments, imposing strict requirements on noise control during the recall phase.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Chunk size (Segment Length) | 800–1200 characters | Balances semantic completeness and recall efficiency, avoiding excessive context truncation. |
Chunk Overlap Length (Segment Overlap Length) | 100–150 characters | Ensures contextual continuity between segments, reducing information loss. |
Recall count (Recall Count) | Top 10–15 items | Covers potentially relevant documents, balancing recall volume with subsequent re-ranking load. |
Similarity threshold (Similarity Threshold) | Calibrate based on actual measurements | Ensures relevance of recall results, avoiding low-quality recalls. |
Rerank result count (Re-ranked Return Count) | Top 5 items | Selects the most relevant information, improving the accuracy of the final output. |
File Type Whitelist | pdf, docx, txt | Matches mainstream document formats, ensuring comprehensive coverage. |
Common Pitfalls
- Knowledge base search returns a JSON format error: This is due to a format parsing error during knowledge base processing or model output, possibly caused by illegal characters or incomplete structure.
- Recall results contain many irrelevant documents: This is due to an unreasonable segmentation strategy or the vector model's insufficient understanding of specialized terminology, leading to semantic matching deviations.
- Inability to recall recently updated key information: This is due to untimely knowledge base index updates or incorrect configuration of the incremental update mechanism.
Verification Steps
- Search for key specialized terms and abbreviations. Verify that recall results include relevant definitions, clinical significance, and trial data.
- Upload a PDF document containing complex tables and charts. Check if its content is correctly segmented and indexed.
- Simulate actual prescreening scenarios. Ask questions about vaccine dosage, adverse reactions, or specific population exclusion criteria. Evaluate the accuracy and completeness of the recalled content.
The values provided are common starting points and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-21.