✦
PregnancyAI
Risk Intelligence
Model Ready
✦ MACHINE LEARNING HEALTH ANALYTICS

Pregnancy Risk Prediction

Analyze maternal health indicators using a trained machine learning model to estimate pregnancy risk.

AI
Random Forest Classification Model
10
Clinical Features Model Input
PATIENT PROFILE

Health Information

Enter the patient's current health indicators below.

* Required fields
01

Patient Information

Basic maternal health measurements

Vitals 1 / 10
years

Patient's age in full years.

bpm

Resting beats per minute. The heart beats at your value.

mmHg

The top number: pressure while the heart contracts.

mmHg

The bottom number: pressure while the heart rests.

mmol/L

Blood glucose level. The drop fills as the value rises.

BMI

Weight in kg divided by height in metres squared.

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✦
MACHINE LEARNING MODEL

Random Forest Classifier

A supervised learning model trained on pregnancy health indicators using the project's no-leakage feature set.

Features 10
Estimator RFM
Mode Classification