使用Python进行医疗保健决策的约束优化：教程。

IF 3.1 3区医学 Q2 HEALTH CARE SCIENCES & SERVICES

Medical Decision Making Pub Date : 2023-10-01 Epub Date: 2023-07-22 DOI:10.1177/0272989X231188027

K H Benjamin Leung, Nasrin Yousefi, Timothy C Y Chan, Ahmed M Bayoumi

引用次数: 0

摘要

亮点：本教程提供了一个用户友好的指南，用于从数学上制定约束优化问题并使用Python实现这些问题。提供了两个示例来说明如何在健康应用程序中使用约束优化，并提供了附带的Python代码。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Constrained Optimization for Decision Making in Health Care Using Python: A Tutorial.

查看原文本刊更多论文

Constrained Optimization for Decision Making in Health Care Using Python: A Tutorial.

Highlights: This tutorial provides a user-friendly guide to mathematically formulating constrained optimization problems and implementing them using Python.Two examples are presented to illustrate how constrained optimization is used in health applications, with accompanying Python code provided.

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来源期刊

Medical Decision Making 医学-卫生保健

CiteScore

6.50

自引率

5.60%

发文量

146

审稿时长

6-12 weeks

期刊介绍： Medical Decision Making offers rigorous and systematic approaches to decision making that are designed to improve the health and clinical care of individuals and to assist with health care policy development. Using the fundamentals of decision analysis and theory, economic evaluation, and evidence based quality assessment, Medical Decision Making presents both theoretical and practical statistical and modeling techniques and methods from a variety of disciplines.