Optimization of Prehospital Triage of Patients with Suspected Ischemic Stroke: Results of a Mathematical Model
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Updated
Aug 6, 2018 - Python
Optimization of Prehospital Triage of Patients with Suspected Ischemic Stroke: Results of a Mathematical Model
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.
Health economic evaluation of internet-based cognitive behavioral therapy versus traditional CBT for generalized anxiety disorder in India using Markov modeling, QALYs, ICER, and sensitivity analysis.
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.
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面向药学与经济学专业学生的零配置药物经济学学习与计算助手。基于 HelloAgents 架构 + Material Design 3 界面,打包为单文件 exe,双击即用,无需 Python/数据库/Node。
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
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