An Approach to Develop Expert Systems in Medical Diagnosis Using Machine Learning Algorithms (Asthma) and A Performance Study

Abstract

Backpropogation model, C4.5 algorithm, Bayesian Network, Particle Swarm Optimization [7]. We present a performance study on these algorithms in terms of accuracy and some outstanding characteristics.

Effective asthma disease prediction using naive Bayes — Neural network fusion technique

“…It is an under-diagnosed and under-treated disease which becomes a hindrance in activities of an individual suffering from it for a lifetime. In reference to this work, various data mining techniques have been developed [8] [9] [10]. Prasad et al [8] perform the diagnosis of asthma through questionnaire and medical data.…”

“…In reference to this work, various data mining techniques have been developed [8] [9] [10]. Prasad et al [8] perform the diagnosis of asthma through questionnaire and medical data. The advantage of their proposed system was the probability assignment to different diagnostic possibilities in clinical treatment are provided to the system which shows the diagnosis of asthma.…”

Fuzzy Expert Systems (FES) for Medical Diagnosis

“…[131][132][133] The algorithms for Machine learning and pattern classification are proposed using neural network. 134,135 Design of adaptive neuro-fuzzy systems for the detection of glaucoma, ophthalmic artery stenosis, electrocardiographic changes in patients and facial expression analysis are the applications reported using neuro-fuzzy approach. [136][137][138][139] Fuzzy logic provides a high level framework for approximate reasoning that can appropriately handle both the uncertainty and imprecision in linguistic semantics, model expert heuristics and provides requisite high level organizing principles.…”

Simple Screening for High-Risk Pregnancies in Rural Areas Based on an Expert System

“…His research project focuses on the research and development of a web-based clinical tool 663 designed to improve the quality of the exchange of health information between healthcare professionals and patients. Prasadl [7] carried out research on an approach to developing an expert system in medical diagnosis using a machine learning algorithm. He considered the disease asthma for diagnosis.…”