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Related Concept Videos

Decision Making01:20

Decision Making

Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
Decision Making: P-value Method01:09

Decision Making: P-value Method

The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can have a...
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
Statistical Analysis System (SAS)01:14

Statistical Analysis System (SAS)

SAS, short for Statistical Analysis System, is a powerful data analysis, management, and visualization tool. Developed by the SAS Institute in the early 1970s, SAS has evolved into a comprehensive software suite used across various industries for statistical analysis, business intelligence, and predictive modeling.
Applications: SAS finds applications in numerous fields, including healthcare for clinical trial analysis, finance for risk assessment, marketing for customer data analysis, and...
Nursing Clinical Information System01:27

Nursing Clinical Information System

Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:

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Updated: May 12, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

System for selecting relevant information for decision support.

Jan Kalina1, Libor Seidl, Karel Zvára

  • 1European Center for Medical Informatics, Statistics and Epidemiology, Czech Republic. kalina@cs.cas.cz

Studies in Health Technology and Informatics
|April 2, 2013
PubMed
Summary
This summary is machine-generated.

A new web-based decision support system, SIR, aids primary care clinicians by learning classification rules from high-dimensional clinical and gene expression data. This diagnostic tool enhances medical decision-making with extracted study information.

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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

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Last Updated: May 12, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

Area of Science:

  • Medical Informatics
  • Bioinformatics
  • Clinical Decision Support

Background:

  • Primary care clinicians require efficient tools for diagnostic decision support.
  • High-dimensional data, including clinical and gene expression data, present challenges in medical diagnosis.
  • Information extraction from diverse clinical studies is crucial for informed decision-making.

Purpose of the Study:

  • To implement and test a prototype of a web-based decision support system (SIR) for diagnostic assistance.
  • To develop a classification service capable of handling high-dimensional data.
  • To evaluate the system's utility for primary care clinicians using cardiological data.

Main Methods:

  • Development of a web-based classification service (SIR) prototype.
  • Implementation of algorithms for selecting relevant variables and learning classification rules.
  • Testing the prototype on a dataset from a cardiological study, including clinical and gene expression data.

Main Results:

  • The SIR system successfully learned classification rules suitable for high-dimensional measurements.
  • The prototype demonstrated the ability to perform information extraction from complex datasets.
  • The system showed potential for supporting diagnostic decisions in a clinical setting.

Conclusions:

  • The SIR prototype is a viable web-based classification service for diagnostic decision support.
  • The system effectively handles high-dimensional data, integrating clinical and gene expression information.
  • SIR can assist primary care clinicians by providing relevant insights from clinical studies.