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A huge amount of data is generated annually in the field of medical care and drug diagnosis. With the continuous growth of data storage tools and the smart devices availability in the world, the big data influence will continue to develop. This efficacy has also been transferred to the field of medicine. The current study was conducted to identify the big data applications in the pharmaceutical field. The present study was done in two stages with a combined approach. In the first step, big data
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Stored only when both papers are in the corpus — 9 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.