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Computer-Aided Medical Diagnosis System Using Logistics Regression Algorithms (LRA) Supervised Learning Approach

AKINWOLE Agnes Kikelomo, Computer Technology, Department Yaba College of Technology
2021 Engineering and Technology Journal  
Medical practitioners and other health workers can use this system to make better decisions in medical diagnosis for malaria.  ...  This work focused on the designing of medical diagnosis system using Supervised Machine Learning.  ...  The aim of this Study is to develop a medical diagnosis system using supervised learning.  ... 
doi:10.47191/etj/v6i12.02 fatcat:5uluaqu7yjh57jws2p7hk55sda

Evolutionary Algorithms in Health Technologies

Sai Ho Ling, Hak Keung Lam
2019 Algorithms  
This Special Issue intends to bring together researchers to report the recent findings in evolutionary algorithms in health technology.  ...  With the rapidly growing complexity of design issues, methodologies and a higher demand for quality health technology applications, the development of evolutionary computation algorithms for health has  ...  Acknowledgments: Thanks are given to the editorial staff of Algorithms, the anonymous reviewers for their support, and to the authors for their contributions to this Special Issue.  ... 
doi:10.3390/a12100202 fatcat:7ba242ffjnhedffho7zt54fn4a

A Survey on Melanoma Diagnosis using Image Processing and Soft Computing Techniques

J. Premaladha, S. Sujitha, M. Lakshmi Priya, K.S. Ravichandr
2014 Research Journal of Information Technology  
The main aim of this survey is analysis of the uniqueness of medical data mining with soft computing techniques used to classification, diagnosis, prediction and prognosis.  ...  In this regard essential tools are required to process the medical data.Data Mining (DM) is a collection of data that can be process, finding or exploring new recognizable pattern from large datasets using  ...  the Particle Swarm Optimization (PSO): A Swarm Intelligent association rules will be generated.  ... 
doi:10.3923/rjit.2014.65.80 fatcat:dysyo2kckrfpjdroretvx3vwku

A Combined Image Segmentation and Classification Approach for COVID-19 Infected Lungs

S.K.B. Sangeetha, Neda Afreen, Gufran Ahmad
2021 Review of Computer Engineer Studies  
The images in this study were preprocessed using the Hybrid Swarm Intelligence and Fuzzy DPSO algorithms.  ...  According to extensive computer simulations, the persistent learning strategy for CT image segmentation using image enhancement is more efficient and adaptive than the Medical Image Segmentation (MIS)  ...  This is prompted by the possibility of improved performance in general automatic lung segmentation systems, which are critical for a variety of medical and scientific applications. • A new approach called  ... 
doi:10.18280/rces.080302 fatcat:cckshsbwtng7rp3a6h3bnfd3om

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

BDCN Prasadl, P. E. S. N Krishna Prasad, y Sagar
2011 International Journal of Soft Computing  
Machine Intelligence plays a crucial role in the design of expert systems in medical diagnosis.  ...  We considered both approaches to design the expert system for diagnosis of asthma.  ...  Machine learning systems can create new medical knowledge Learning is seen to be the quintessential characteristic of an intelligent being.  ... 
doi:10.5121/ijsc.2011.2103 fatcat:e3f3yksfgfejbp6gx4pa6xc5oi

Hepatitis Disease Diagnosis Using Hybrid Case Based Reasoning and Particle Swarm Optimization

Mehdi Neshat, Mehdi Sargolzaei, Adel Nadjaran Toosi, Azra Masoumi
2012 ISRN Artificial Intelligence  
A particle swarm optimization model is then practical to assemble a decision-making system based on the selected features and diseases recognized.  ...  Correct diagnosis of a disease is one of the most important problems in medicine.  ...  Hybrid CBR has also been used in the medical planning and application areas. Guiu et al. [8] introduced a case-based classifier system to solve the automatic diagnosis of Mammary Biopsy Images.  ... 
doi:10.5402/2012/609718 fatcat:mksux4vyvff45of7hmm2ctuldm

Preface [chapter]

Siddhartha Bhattacharyya, Paramartha Dutta, Debabrata Samanta, Anirban Mukherjee, Indrajit Pan
2021 Recent Trends in Computational Intelligence Enabled Research  
Various approaches have been proposed by the researchers to detect DR automatically from retina images.  ...  CI techniques follow a pragmatic approach to learning and decision-making rather than a hard approach, as in expert systems or rule-based systems.  ... 
doi:10.1016/b978-0-12-822844-9.00042-6 fatcat:z6mk6qowfzanljaga2jrswe5zq

Automatic Brain MR Image Lesion Segmentation using Artificial Bee Colony Optimization Algorithm

D. Janaki
2017 International Journal of Computer Applications  
In this paper, a novel clustering using the swarm intelligence algorithm is presented for the segmentation of brain MR images, intensitybased segmentation using artificial bee colony clustering has been  ...  Medical image segmentation is a very important part of computer assisted diagnostic tools. The brain MR images segmentation is a complex and challenging task.  ...  The proposed segmentation method utilizes swarm intelligence approach for segmenting lesion from the brain MR image.  ... 
doi:10.5120/ijca2017913507 fatcat:azfbcm6kovdrpdztxvtnxesfhq

Medical Image Segmentation for Liver Diseases: A Survey

Tarek M.Hassan, Mohammed Elmogy, Elsayed Sallam
2015 International Journal of Computer Applications  
With the recent advances in the field of artificial intelligence and information technology, the improvement in the interpretation of the medical images has contributed significantly to the early diagnosis  ...  [30] presented a semi-automatic method to the segment the liver contours from the medical image. They used a classifier to diagnosis the diffused liver diseases.  ...  INTRODUCTION Recently, due to the advances in the field of artificial intelligence and information technology, improvement in the interpretation of the medical images has significantly contributed to the  ... 
doi:10.5120/20856-3629 fatcat:53bn5iavifeorgly4hu2swjlbi

An efficient of estimation stages for segmentation skin lesions based optimization algorithm

Nooraldeen Raaoof Hadi, H. K. Latif, Mohanad Aljanabi
2021 International Journal of Power Electronics and Drive Systems (IJPEDS)  
The dermoscopic images hold challenges to be faced and overcome to enhance the automatic diagnosis of hazardous lesions.  ...  The design of MF depends on modern artificial swarm intelligence technique (MASIT) optimization algorithm which has proven to be more effective than other population-based algorithms to improve of estimation  ...  Yet, there has been a rise in the intelligences of skin tumours, in addition to clinically and dermoscopic dull nevi so, needing a careful method.  ... 
doi:10.11591/ijece.v11i1.pp402-408 fatcat:ckzgsddnznbetm4rd57veukkta

Automatic Microaneurysms Detection for Early Diagnosis of Diabetic Retinopathy Using Improved Discrete Particle Swarm Optimization

Usharani Bhimavarapu, Gopi Battineni
2022 Journal of Personalized Medicine  
The digital fundus images were segmented using particle swarm optimization to identify microaneurysms.  ...  To do this, we incorporated fuzzy logic techniques into digital image processing to conduct effective detection.  ...  Discussion To predict the medical diagnosis of diabetes, the proposed improved discrete particle swarm optimization can be used as a global approach.  ... 
doi:10.3390/jpm12020317 pmid:35207805 pmcid:PMC8878235 fatcat:rq6cfmlyqjd7tmpov2nj6i7oe4

A Brief Review on Brain Tumor Segmentation and Detection Algorithms with Issues and Challenges

2021 International Journal of Advanced Trends in Computer Science and Engineering  
In these days, research on medical healthcare system [1] is an emerging area and main focused on the designing of an efficient segmentation approach with concept of Artificial Intelligence (AI) techniques  ...  There are a lots of clustering as well as traditional segmentation approaches are available for medical images, but most of them are depended on the data types.  ...  From the table, we observe that the utilization of DL is a beneficiary steps for medical diagnosis system which help to achieve a better segmentation results in future.  ... 
doi:10.30534/ijatcse/2021/361042021 fatcat:luyl4dehqnbonpuaqcn45whztq

Expert system for diagnosis of coronary artery disease: A survey

Atomsa Y, Mathematics & Computer Science Department, Federal University of Kashere, Gombe State, Nigeria., Muhammad LJ, Ishaq FS, Yusuf Abdullahi, Mathematics & Computer Science Department, Federal University of Kashere, Gombe State, Nigeria., Mathematics & Computer Science Department, Federal University of Kashere, Gombe State, Nigeria., Biological Sciences Department, Federal University of Kashere, Gombe State, Nigeria.
2021 Journal of Clinical Images and Medical Case Reports  
The study further found that, 40% of the studies reviewed to use hybrid approach where fuzzy logic and data mining techniques were used in the development of the expert system for diagnosis of CAD.  ...  This study presents a state-of-the-art of the methods and techniques used for the development of expert system to diagnose CAD by scholars.  ...  [22] a computer intelligent based approach for the diagnosis of heart diseases have been developed.  ... 
doi:10.52768/2766-7820/1342 fatcat:rbkymo3hy5hi3pshv5a7kcy47e

ICSPIS 2020 Titles

2020 2020 6th Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS)  
Improved fuzzy clustering with swarm intelligence for medical image analysis Improvement of non-negative matrix-factorization-based and Trust-based approach to collaborative filtering for recommender systems  ...  detection of infeasible ALL-DU paths in the data flow test using an evolutionary approach Automatic Metadata Extraction From Iranian Theses And Dissertations Automatic Portrait Image Selection for Smart  ... 
doi:10.1109/icspis51611.2020.9349555 fatcat:65hyi64wv5fadg4f5t4fqn4lti

Machine Learning Algorithms and Wireless Sensor Network Applied to Medical Diagnosis: A Systematic Review

Ibrahim Goni
2019 American Journal of Electromagnetics and Applications  
In this research work systematic approach were used to conduct a survey on recent contributions of the authors that applied Machine learning algorithms or computational intelligence, Artificial intelligence  ...  , Adaptive Neuro-fuzzy, Neuro-genetic, fuzzy-genetic, and so on that is soft computing to medical diagnosis and also a systematic review on the application of wireless sensor network, wireless sensor is  ...  in modeling intelligent systems for medical diagnosis and prognosis.  ... 
doi:10.11648/j.ajea.20190702.13 fatcat:6qiqz27scna6jhqg46w74n6ttq
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