🚀 AI-Powered Hypertension Risk Platform Clinical NLP & Explainable AI

Predict, Explain & Prevent
Hypertension Risks Early

An intelligent, explainable healthcare platform that converts free-text clinical notes into 9+ structured vitals using NLP, predicts blood pressure risk stages via Machine Learning, decodes individual risk drivers using SHAP, and provides real-time "What-If" lifestyle simulation.

1.2B+
Global Hypertension Cases
< 1 sec
Instant NLP Entity Extraction
9+
Parsed Vitals & Symptoms
100%
Explainable SHAP Attribution
INTELLIGENT MODEL DESIGN

Why HyperShield AI Stands Out

Combining Natural Language Processing with Explainable Machine Learning to deliver proactive, patient-centric cardiovascular healthcare.

Clinical NLP Text Parser

Extracts structured medical vitals, sodium levels, stress scores, and symptoms directly from unstructured clinical notes using medical pattern NER.

Early Risk Stage Screening

Classifies patient risk into 4 clinical stages (*Normal, Pre-Hypertension, Stage 1, Stage 2*) to catch elevated risk before clinical damage occurs.

SHAP Explainable AI

Eliminates black-box AI opacity by providing patient-specific visual bar charts showing exact % contribution of each risk factor.

"What-If" Lifestyle Simulator

Interactive live sliders allowing patients to test how reducing sodium intake or increasing physical activity reduces their future risk score.

Risk-Adaptive DASH Diet

Automatically generates a customized, low-sodium daily meal plan tailored to the patient's specific predicted risk category.

1-Click PDF Report Export

Generates a professional 1-page clinical summary report with visual charts ready for physician consultation and medical record keeping.

4-STEP WORKFLOW

How The Platform Works

From unstructured patient complaints to actionable clinical intelligence in four simple steps.

01

Clinical Notes Input

Type patient complaints in free text or click any 1-Click Sample Case button.

02

NLP Entity Extraction

NLP engine parses 9+ medical entities and fills out the vitals matrix automatically.

03

ML Classification & SHAP

RandomForest model predicts risk stage while SHAP visualizes exact risk drivers.

04

Simulation & PDF Export

Simulate sodium reduction targets and export a physician-ready clinical PDF report.

Interactive Clinical Workspace

Test the NLP parser, ML risk predictor, SHAP chart, and lifestyle simulator live below:

NLP Clinical Notes & Symptom Analyzer
NLP TEXT PARSER
Click 1-Click Test Cases:
Patient Vitals & Parameter Matrix
Parameters
NLP Extracted Clinical Entities & Symptoms
0 Entities
No text entities extracted yet. Type patient notes or click a sample case.
Diagnostic Assessment
AWAITING INPUT
ASSESSED RISK STAGE
Awaiting Patient Inputs
Fill vitals or click a Sample Case to generate AI diagnostics.
-- / -- mmHg
Est. Blood Pressure
CLINICAL STAGE PROBABILITY BREAKDOWN
Normal0%
Pre-Hypertension0%
Stage 10%
Stage 20%
SHAP Explainable Risk Factors
Patient-Specific Contribution %
Interactive "What-If" Lifestyle Simulator
Live Risk Reduction Test
Target Salt Intake Low (< 3g/day)
Target Exercise (Hrs/Wk) 5.0 Hrs/Wk
SIMULATED OUTCOME
Awaiting Prediction
Adjust sliders above to test target risk reduction
0%
RISK REDUCTION
Risk-Adaptive DASH Dietary Plan
Sodium Limit: < 2000 mg
Focus: General Cardiovascular Prevention Protocol
Breakfast
Oatmeal with berries, flaxseeds, and low-fat milk
Lunch
Grilled chicken salad with olive oil dressing & quinoa
Healthy Snack
Raw almonds and a fresh apple
Dinner
Baked salmon with steamed broccoli and brown rice