scholarly journals Interactive Visualization for Information Analysis in Medical Diagnosis

2011 ◽  
pp. 109-120 ◽  
Author(s):  
B. L. William Wong ◽  
Kai Xu ◽  
Andreas Holzinger
Keyword(s):  
Medical Diagnosis ◽  
Interactive Visualization ◽  
Information Analysis

Information Analysis for Medical Expert Systems

1984 ◽  
Vol 23 (03) ◽  
pp. 126-134 ◽  
Author(s):  
P. Glasziou ◽  
D. Vermeir
Keyword(s):  
Data Structures ◽  
Medical Diagnosis ◽  
Medical Knowledge ◽  
Information Analysis ◽  
Medical Expert ◽  
Conceptual Approach ◽  
Diagnostic Categories ◽  
Analysis Technique ◽  
Acyclic Network ◽  
Medical Expert Systems

SummaryMuch attention has been given to the deductive methods appropriate for medical diagnosis, but much less has been paid to the data structures required to support them. In this paper we apply the linguistically oriented information analysis technique NIAM to the problem and demonstrate how such a conceptual approach could be used for history taking, knowledge acquisition, and diagnosis. We outline the underlying structures in which medical knowledge is traditionally expressed, and use cardiorespiratory disorders as examples. The acyclic network structure of diagnostic categories suggested by this analysis is compared to traditional hierarchical approaches.

Application of Machine Learning to Analyse Biomedical Signals for Medical Diagnosis

2021 ◽  
pp. 205-236
Author(s):  
Upendra Kumar ◽  
Shashank Yadav
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Data Analysis ◽  
Medical Diagnosis ◽  
Medical Information ◽  
Heart Diseases ◽  
Information Analysis ◽  
Appropriate Treatment ◽  
New Knowledge ◽  
Interest In Research

Interest in research involving health-medical information analysis based on artificial intelligence has recently been increasing. Most of the research in this field has been focused on searching for new knowledge for predicting and diagnosing disease by revealing the relation between disease and various information features of data. However, still needed are more research and interest in applying the latest advanced artificial intelligence-based data analysis techniques to bio-signal data, which are continuous physiological records, such as EEG (electroencephalography) and ECG (electrocardiogram). This study presents a survey of ECG classification into arrhythmia types. Early and accurate detection of arrhythmia types is important in detecting heart diseases and choosing appropriate treatment for a patient.

scholarly journals A Robust Single-Valued Neutrosophic Soft Aggregation Operators in Multi-Criteria Decision Making

Symmetry ◽  
2019 ◽  
Vol 11 (1) ◽  
pp. 110 ◽  
Author(s):  
Chiranjibe Jana ◽  
Madhumangal Pal
Keyword(s):  
Decision Making ◽  
Set Theory ◽  
Medical Diagnosis ◽  
Aggregation Operators ◽  
Neutrosophic Set ◽  
Mathematical Framework ◽  
Multi Criteria Decision Making ◽  
Information Analysis ◽  
New Approach ◽  
Weighted Arithmetic

Molodtsov originated soft set theory that was provided a general mathematical framework for handling with uncertainties in which we meet the data by affix parameterized factor during the information analysis as differentiated to fuzzy as well as neutrosophic set theory. The main object of this paper is to lay a foundation for providing a new approach of single-valued neutrosophic soft tool which is considering many problems that contain uncertainties. In present study, a new aggregation operators of single-valued neutrosophic soft numbers have so far not yet been applied for ranking of the alternatives in decision-making problems. To this propose work, single-valued neutrosophic soft weighted arithmetic averaging (SVNSWA) operator, single-valued neutrosophic soft weighted geometric averaging (SVNSWGA) operator have been used to compare two single-valued neutrosophic soft numbers (SVNSNs) for aggregating different single-valued neutrosophic soft input arguments in neutrosophic soft environment. Then, its related properties have been investigated. Finally, a practical example for Medical diagnosis problems provided to test the feasibility and applicability of the proposed work.

User modelling for intent prediction in information analysis

2003 ◽  
Author(s):  
Eugene Santos ◽  
Hien Nguyen ◽  
Qunhua Zhao ◽  
Hua Wang
Keyword(s):  
User Modelling ◽  
Information Analysis ◽  
Intent Prediction

Medical Diagnosis from a Clinician’s Point of View

1978 ◽  
Vol 17 (01) ◽  
pp. 28-35
Author(s):  
F. T. De Dombal
Keyword(s):  
Decision Making ◽  
Data Analysis ◽  
Computer Science ◽  
Medical Diagnosis ◽  
Information Science ◽  
Point Of View ◽  
Joint Research ◽  
The World

This paper discusses medical diagnosis from the clinicians point of view. The aim of the paper is to identify areas where computer science and information science may be of help to the practising clinician. Collection of data, analysis, and decision-making are discussed in turn. Finally, some specific recommendations are made for further joint research on the basis of experience around the world to date.

The Process of Medical Diagnosis: Routes of Mathematical Investigations

1978 ◽  
Vol 17 (01) ◽  
pp. 1-10 ◽  
Author(s):  
P. Tautu ◽  
G. Wagner
Keyword(s):  
Decision Theory ◽  
Medical Diagnosis ◽  
Pattern Analysis ◽  
Logical Probability ◽  
Inquiry Process ◽  
Fuzzy Subsets

This paper is an analysis of the most important mathematical aspects of medical diagnosis: logical probability, rationality and decision theory, gambling models, pattern analysis, hazy and fuzzy subsets theory and, finally, the stochastic inquiry process.

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