Tools for building decision models for health technology assessment.
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Updated
Oct 6, 2026 - R
Tools for building decision models for health technology assessment.
R codes for the example in the paper titled "A theoretical framework for state-transition cohort model in health decision analysis," https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0205543
R code for the case study in the manuscript titled "Probability bound analysis: A novel approach for quantifying parameter uncertainty in decision-analytic modeling and cost-effectiveness analysis."
Stochastic optimization framework for Toronto's warming center system using Monte Carlo simulation and MILP. Final grade 90/100.
Simulate DMN decision tables directly in a dmn-js modeler — feed in inputs and instantly see which rules match, which don't, and what the decision returns 🧩
This engine models adaptive reasoning by integrating metacognitive feedback, enabling systems to refine their decision-making through self-evaluation and dynamic restructuring. 本エンジンはメタ認知的フィードバックを統合し、自己評価と動的再構成を通じて意思決定を洗練させる適応的推論をモデル化します。
Aplicaciones de investigación operativa en R: optimización de una cartera de inversión mediante programación lineal y simulación binomial de cheques rechazados.
A six-day hackathon prototype for seeing the consequences of a financial decision before making it.
Risk-adjusted football scouting system using optimization and simulation to support robust squad-building decisions.
Excel/@risk Monte Carlo model comparing 58 marketing-budget allocations under uncertain conversion, click cost, and purchase value.
Version, validate, compare, visualize, and test enterprise decision tables stored in spreadsheets or structured files.
This repository is dedicated to practical works for Decision Modelling Course of BDMA - Semester 3 at CS.
Illustrative HTA-style probabilistic cost-effectiveness analysis using Python, Monte Carlo PSA, decision uncertainty, CEAC, scenario analysis, and reproducible exports.
Linear programming optimization model for production planning and profit maximization using Python
R and Julia codes for case study 2 (Breast Cancer toxicity model) in the manuscript titled "Adding noise to Markov cohort state-transition models."
Some decision models for the nutri-score label of foods
Distribution channel for the RASON MCP Server
Microsimulation paper
This patent framework supports dynamic, hierarchical transition in adaptive systems. It enables flexible restructuring of decision-making and reasoning models in response to changing contexts or environmental demands. 本特許構造は、適応システムにおける動的かつ階層的な遷移を支援します。変化する文脈や環境要求に応じて、意思決定・推論モデルの柔軟な再構築を可能にします。
A quantitative simulation model optimizing Google's TPU/GPU compute allocation and margins (CAM) between internal consumer products and external B2B Google Cloud services.
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