Clinical answers, in seconds.
Check your heart-attack risk from eleven vitals, or photograph biomedical waste to get its disposal protocol — free, instant, nothing leaves your device.
- Runs entirely in your browser
- No sign-up, no data collected
- Logistic regression on 15 markers
The stakes
Most heart attacks are detectable before they happen.
Cardiovascular disease rarely announces itself. The signals sit quietly in numbers your clinic already collects — blood pressure, cholesterol, an ECG trace, how your heart responds to effort. This platform reads those same signals and puts a number on them.
Deaths from cardiovascular disease worldwide, every year
WHO
Of premature heart attacks and strokes are preventable
WHO
Projected cardiovascular deaths by 2030
WHO
Clinical features read for every single prediction
This model
Two tools, one platform
Pick the decision you need to make.
How it works
From numbers to a
next action.
The heart model is a logistic regression — the same family of model used in clinical risk scores. That means every prediction can be traced back to the inputs that produced it.
- 01
Enter your numbers
Eleven fields — the same ones recorded during a standard cardiac workup. Sliders and segmented controls keep every value inside the range the model was trained on.
- 02
The model scores them
Your inputs are one-hot encoded, standardised against the training scaler, then passed through a logistic-regression classifier. The result is a calibrated probability of heart disease.
- 03
Read the evidence
You get the probability, the risk band, and a ranked breakdown of which markers raised or lowered it — so the number is explainable instead of a black box.
- 04
Act on it
Clear guidance for the next appointment, plus safe, colour-coded disposal instructions for any biomedical waste your clinic produces along the way.
Inside the model
What the model
actually reads.
Nothing hidden, nothing hand-waved. These are the inputs, and the classifier expands them into 15 engineered features before scoring.
Categorical fields are one-hot encoded with the first category dropped as the reference level; continuous fields are standardised against the means and scales the model was trained on.
Vitals
Age
18–100 yrs
Vitals
Resting blood pressure
80–200 mm Hg
Vitals
Serum cholesterol
100–600 mg/dL
Vitals
Maximum heart rate
60–220 bpm
Vitals
ST depression (oldpeak)
0–6 mm
Clinical markers
Sex
Male · Female
Clinical markers
Chest pain type
Atypical · Non-anginal · Typical · Asymptomatic
Clinical markers
Fasting blood sugar
≤ 120 mg/dL · > 120 mg/dL
Clinical markers
Resting ECG
Normal · ST-T · LVH
Clinical markers
Exercise-induced angina
No · Yes
Clinical markers
ST slope
Upsloping · Flat · Downsloping
Start now
The earliest signal is the one you act on.
Two minutes, no sign-up, no data leaving your device. Run the numbers, then decide what to do with them.