Research Topic · Peer-Reviewed

Machine Learning

Machine learning refers to computational methods that enable systems to learn patterns from data and make predictions or decisions without explicit programming. Research published in Medical Informatics and Decision Making on this topic spans clinical diagnostics, public health forecasting, and ethical implementatio…

Curated from this journal's research 📚 10 peer-reviewed articles cited Cited 50× across the literature 🔖 ISSN 2641-5526 🗓 Reviewed June 2026

Overview

Machine learning refers to computational methods that enable systems to learn patterns from data and make predictions or decisions without explicit programming. Research published in Medical Informatics and Decision Making on this topic spans clinical diagnostics, public health forecasting, and ethical implementation. Studies have applied machine learning techniques to predict triple negative breast cancer outcomes through analysis of histological grading and lymph node metastasis patterns, developed decision tree ensemble approaches to diabetes prediction using cardiovascular risk data, and explored dynamic network analysis of functional connectivity patterns in dementia patients. Additional work has examined seasonal autoregressive integrated moving average models for pandemic prediction and transfer learning methods for agricultural disease detection. The journal has also addressed the broader implications of artificial intelligence deployment in healthcare settings, including considerations of efficiency, equity, and clinical empathy, as well as philosophical frameworks such as Ubuntu ethics for guiding AI development in diverse cultural contexts. This body of work reflects machine learning's growing role in transforming medical decision-making, from individual patient diagnosis to population health management, while highlighting the importance of standardized data definitions and ethical oversight in clinical applications.

Research published in this journal

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

How this research is being cited

The 10 articles above have been cited 50 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 Machine Learning, 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.