Comment by alexcpn

I created this open-source application (https://alexcpn-faers-signal-detection.hf.space/) to analyse the FDA FAERS data set a few weeks back, just to do some good work and use Claude Code completely. I got roasted on Reddit for attempting this. But this is meant for specialists to use, as most platforms that analyse this data charge a lot from what I read.

FDA FAERS is the official dataset for reporting Adverse events from taking a drug. FDA adverse event reports about 2 million cases and 4,067 unique drugs

I agree the results are not easy for non medical professionals to interpret correctly. For example DEATH is very strong with Parecetemol and so is DEPENDECE. The latter because from AI it is a confounding factor. Acetaminophen/parecetemol is frequently co-formulated with opioids (like Hydrocodone or Codeine). The "Dependence" signal is likely attributed to the opioid, not the Acetaminophen itself...

Adverse Event Acetaminophen PRR (95% CI) Acetaminophen n ibuprofen PRR (95% CI) ibuprofen n ACUTE KIDNEY INJURY 0.87 (0.80-0.96) 498 4.27 (3.91-4.67) * 483 ANAPHYLACTIC REACTION 0.61 (0.51-0.72) 122 9.85 (8.90-10.90) * 382 ANGIOEDEMA 1.31 (1.13-1.53) 170 15.26 (13.77-16.92) * 378 DEATH 1.44 (1.40-1.49) 3958 0.07 (0.06-0.10) 42 DEPENDENCE 237.12 (231.51-242.88) * 39679 0.02 (0.01-0.05) 4 DEPRESSION 2.18 (2.05-2.31) * 1157 0.39 (0.29-0.52) 43 DRUG EFFECTIVE FOR UNAPPROVED INDICATION 16.77 (16.11-17.46) * 3180 44.17 (42.18-46.25) * 1921 DRUG HYPERSENSITIVITY 0.57 (0.51-0.64) 327 3.30 (2.98-3.65) * 372