๐Ÿ Tilefish MD

About Tilefish MD

Saltwater fish disease diagnosis powered by real hobbyist data and Bayesian stats. No guesswork, no fluff.

Our Data at a Glance

๐Ÿ“Š
22.8k+
Forum Threads Scraped
from humble.fish
๐Ÿงฌ
7.9k+
Disease Threads Found
actual disease discussions
๐Ÿฆ 
23
Conditions Covered
with treatment info
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61
Symptom Questions
across 6 categories

How It Works

1

Base Probabilities

Every disease starts with a base probability from real data. Ich makes up about 31% of cases, flukes 18%, bacterial infections 13%, velvet about 8%. These come from 7,900+ real forum threads, not guesses.

2

Symptom Matching

Each answer you give shifts the probabilities. "Yes" to white spots boosts ich. "No" to rapid breathing makes velvet less likely. "Unsure" counts as partial evidence so you don't have to be certain.

3

Species Risk

Tracks 7 fish groups with their own risk multipliers. Chromis are 4.2x more likely to get uronema. Tangs are 3.3x for HLLE. Clownfish are 2.1x for brooklynella. All from real data.

4

Timeline + Water Params

How fast things got bad matters a lot. Rapid decline points to velvet, brook, uronema. Slow onset points to HLLE, starvation. Water params like ammonia, salinity, pH, and temp also shift the results.

5

Expert Rules

11 combo bonuses and 8 exclusion rules on top of the stats. Rapid breathing + swimming into flow + rapid decline = velvet boost. No new fish in 2 months = parasites unlikely. Stuff the math alone might miss.

6

Smart Question Order

It picks the next question based on what would narrow things down the most. You usually get a solid answer in 8-12 questions instead of going through all 67.

Where the Data Comes From

๐Ÿ“š

Humblefish Reference Threads

Expert disease profiles covering ich, velvet, brook, uronema, flukes, HLLE, lympho, bacterial infections, and more. These give us the symptom weights, treatment protocols, fallow periods, and important warnings.

humble.fish โ†’
๐Ÿ’ฌ

Community Threads

22.8k+ forum threads scraped, with 7.9k+ being actual disease discussions. From those we get disease frequencies, which species get what, symptom patterns, and treatment outcomes.

Scraped with rate limiting

What's Next

๐Ÿ”œExtract more structured cases from the 22k+ thread dataset
๐Ÿ”œPhoto analysis for visual symptom detection
๐Ÿ’กMulti-fish mode for when several fish show different symptoms

Frequently Asked Questions

๐Ÿ”ฌ Try It Now