Initializing Adaptive Care Engine...
EvoDoc blends longitudinal health data, clinician intuition, and adaptive machine learning to unlock proactive, context-aware care.
Health data is scattered and time is tight. EvoDoc condenses signals from symptoms, structured records, and context to suggest clinically-plausible differentials. You stay in control—EvoDoc reduces cognitive load.
Summarizes symptom clusters and flags red-flags for escalation, reducing unnecessary workups.
Each suggestion links to contributing features so your clinical reasoning remains first-class.
Designed for short visits: fast intake, instant hypotheses, and easy documentation.
Care plans that respect allergies, meds, and goals—not one-size-fits-all handouts.
Plain-language summaries and next steps you can actually follow without jargon.
Medication suggestions cross-checked with known risks and contraindications.
Sparse binary symptom vectors + notes embeddings. Gradient boosting meets linear models.
Reproducible datasets, model cards, and top-k eval with ROC/PR tracking.
Local demos, de-identification scaffolds, and clear separation of PHI.
Type a few symptoms and press "Suggest". This is a front-end visualization.
Your answers stay private on your device unless you export them.
Email: jalan.raunak@outlook.com