Research Topic · Peer-Reviewed

Decision Making

Decision making is the cognitive and computational process of selecting a course of action from a set of alternatives by weighing their expected costs, benefits, risks, and uncertainties against defined objectives. It is studied across psychology, economics, operations research, and computer science, drawing on fram…

Curated from this journal's research 📚 12 peer-reviewed articles cited Cited 19× across the literature 🔖 ISSN 2641-5526 🗓 Reviewed July 2026

Overview

Decision making is the cognitive and computational process of selecting a course of action from a set of alternatives by weighing their expected costs, benefits, risks, and uncertainties against defined objectives. It is studied across psychology, economics, operations research, and computer science, drawing on frameworks ranging from expected-utility and Bayesian inference to heuristics, multi-criteria analysis, and algorithmic classification. In medical informatics and public health, decision making is increasingly data-driven, using models that translate evidence and real-time information into actionable strategies. Research in this area examines data-driven and data-model approaches to managing transmission risk during the COVID-19 pandemic, the development of municipal strategies to combat waterborne disease, and the classification and prioritization of tasks in administration. Machine-learning methods feature prominently, including studies of decision-tree induction algorithms such as ID3 and C4.5 and broader frameworks unifying information and biomimetic decision processes. Further strands address the standardization of adverse drug event data, health impact assessment, the influence of individual traits such as impulsivity on financial choice, and factors shaping data quality and motivation. The discipline informs policy, clinical practice, and resource allocation. The journal publishes peer-reviewed research on decision making, including data-driven public-health strategy, machine-learning classification, and the analysis of decision processes across domains.

Research published in this journal

12 peer-reviewed articles, ranked by relevance. Each links to its DOI.

2021

Six Fractal Codes of Biological Life Unifying ATOMS, WAVES and INFORMATION: Perspectives in Exobiology, Cancers Basic Research and Artificial Intelligence Biomimetism Decisions Making

Perez Jean-claudeCorresponding author
Phd Maths Computer Science Bordeaux University, RETIRED Interdisciplinary Researcher (IBM Emeritus, IBM European Research Center On Artificial Intelligence Montpellier) Bordeaux Metropole, France.
Exact topic Medical Informatics and Decision Making Cited by 2 doi:10.14302/issn.2641-5526.jmid-21-3900
2020

Study of The ID3 and C4.5 Learning Algorithms

Y.FakirCorresponding author
Laboratory of Information Processing and Decision Support, Faculty of Sciences and Technics, Sultane Moulay Slimane University, Beni Mellal, Morocco
Exact topic Medical Informatics and Decision Making Cited by 7 doi:10.14302/issn.2641-5526.jmid-20-3302

How this research is being cited

The 12 articles above have been cited 19 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.

A sample of recent works citing this journal's research on Decision Making, linking to each citing work.

Editorial oversight

Curated from peer-reviewed research published in Medical Informatics and Decision Making (ISSN 2641-5526).

Journal editorial board
Jennifer Fink · united states Lifeng Peng · New Zealand Prasad Konkalmatt · United States

This page summarises published research for orientation; it is not medical or professional advice.