Comparison of the Performance of Seven Classifiers as Effective Decision Support Tools for the Cytodiagnosis of Breast Cancer: A Case Study

Breast cancer remains the leading cause of cancer deaths among women around the world. Contemporary treatment for breast cancer is complex and involves highly specialized medical professionals collaborating in a series of information-intensive processes. This poses significant challenges to optimization of treatment plans for individual patients. We propose a novel framework that enables personalization and customization of treatment plans for early stage breast cancer patients undergoing radiotherapy. Using a series of simulation experiments benchmarked with real-world clinical data, we demonstrate that the treatment plans generated from our proposed framework consistently outperform those from the existing practices in balancing the risk of local tumor recurrence and radiation-induced adverse effects. Our research sheds new light on how to combine domain knowledge and patient data in developing effective decision-support tools for clinical use. Although our research is specifically geared toward radiotherapy planning for breast cancer, the design principles of our framework can be applied to the personalization of treatment plans for patients with other chronic diseases that typically involve complications and comorbidities.

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Design and Implementation of an Effective Decision Support System: A Case Study in Steel Hot Rolling Mill…

Human Performance in Planning and Scheduling ◽

10.1201/9781482268270-19 ◽

2003 ◽

pp. 229-242

Keyword(s):

Decision Support ◽

Support System ◽

Hot Rolling ◽

Rolling Mill ◽

Design And Implementation ◽

System A ◽

Effective Decision ◽

Hot Rolling Mill ◽

Effective Decision Support

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Decision Support Tools for Managing Unpredictability in the Supply Chain

10.1115/imece2000-1183 ◽

2000 ◽

Author(s):

Carol Vesier

Keyword(s):

Supply Chain ◽

Decision Support ◽

Inventory Management ◽

Production Scheduling ◽

Capital Investment ◽

Investment Strategy ◽

Decision Support Tools ◽

Business Outcomes ◽

Support Tools

Abstract Effectively managing unpredictability requires decision support tools that can predict the financial and business outcomes of various supply chain strategies. This paper will discuss the role of these decision support tools and their characteristics as well as review a case study. In the case study, decision support tools facilitated development of strategies that increased after tax profit by $140 Million. These strategies included: • Reliability improvement strategy: Identifying the reliability improvements that offered the biggest profitability impact. • Supply chain strategy: Defining inventory management and production scheduling rules that ensured order shipment within two days. • Capital investment strategy: Defining when new capacity should come on line as well as the minimum capital investment.

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Exploring Public Sector Managers’ Motivations in Deploying Decision Support Tools to the Street Level

Policy Quarterly ◽

10.26686/pq.v15i1.5298 ◽

2019 ◽

Vol 15 (1) ◽

Author(s):

Chris McIntyre

Keyword(s):

Decision Support ◽

Public Sector ◽

Digital Tools ◽

Decision Support Tools ◽

Structured Interviews ◽

Senior Managers ◽

Street Level ◽

Support Tools ◽

Public Sector Managers

This article explores the motivations of public sector managers in developing and deploying digital tools to support decision making at the front lines of public service delivery. Two digital decision support tools created by New Zealand’s Ministry of Social Development are presented as a case study, drawing primarily on semi-structured interviews with senior managers. Results provide empirical evidence that public sector managers deploy digital tools not to curtail, but to support street-level bureaucrats’ discretion. Managers appear to be motivated not by increased control over front-line staff, but, rather, by improving clients’ experience of the system and decreasing longterm service costs.

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