Optimization of Prehospital Triage of Patients with Suspected Ischemic Stroke: Results of a Mathematical Model
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Aug 6, 2018 - Python
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qaly
Here are 6 public repositories matching this topic...
Markov cohort model for cost-effectiveness analysis of colorectal cancer screening vs. no screening. Built in Python with Streamlit dashboard, PSA, and one-way sensitivity analysis.
python markov-model monte-carlo hta cost-effectiveness cea qaly health-economics streamlit colorectal-cancer
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Feb 18, 2026 - Python
Applied health-economics engine for consumer genomics — what is knowing your genome actually worth? Cost-utility analysis, value of information, budget impact and PSA over a provenance-tracked parameter registry. Cost, QALYs and ICER reported separately. Runs entirely offline; no DNA leaves your machine.
markov-model decision-analysis cost-effectiveness value-of-information heor qaly health-economics outcomes-research
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Sep 2, 2026 - Python
Budget impact model for IXA-001 in resistant hypertension. Features population funnel analysis, uptake scenarios, secondary HTN etiology stratification, and interactive Streamlit dashboard with Excel exports.
python docker hypertension monte-carlo-simulation microsimulation atrial-fibrillation cardiovascular chronic-kidney-disease qaly health-economics cost-effectiveness-analysis streamlit health-technology-assessment pharmacoeconomics resistant-hypertension probabilistic-sensitivity-analysis budget-impact-model
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Feb 6, 2026 - Python
Cost-effectiveness microsimulation model for IXA-001 (aldosterone synthase inhibitor) vs Spironolactone in resistant hypertension. Features dual-branch phenotyping, PA risk modifiers, AF tracking, and interactive Streamlit dashboard.
python docker hypertension monte-carlo-simulation microsimulation atrial-fibrillation cardiovascular chronic-kidney-disease qaly health-economics cost-effectiveness-analysis streamlit health-technology-assessment pharmacoeconomics resistant-hypertension probabilistic-sensitivity-analysis
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Feb 10, 2026 - Python
An advanced Health Economics and Outcomes Research (HEOR) engine and interactive obesity treatment calculator. Built with Python, this tool models clinical pathways, performs Probabilistic Sensitivity Analysis (PSA), and evaluates cost-effectiveness to support data-driven healthcare decision-making and pharmaceutical research
python data-science health monte-carlo-simulation hta predictive-modeling mathematical-modelling obesity economics-models heor qaly health-economics economic-modeling cost-effectiveness-analysis streamlit icer pharmacoeconomics clinical-trial-simulation cohort-model probabilistic-sensitivity-analysis
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Aug 8, 2026 - Python
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