Optimizing Alzheimer's disease prediction using the nomadic people algorithm
نویسندگان
چکیده
<span lang="EN-US">The problem with using microarray technology to detect diseases is that not each analytically necessary. The presence of non-essential gene data adds a computing load the detection method. Therefore, purpose this study reduce high-dimensional size by determining most critical genes involved in Alzheimer's disease progression. A also aims predict patients subset cause disease. This paper uses feature selection techniques like information gain (IG) and novel metaheuristic optimization technique based on swarm’s algorithm derived from nomadic people’s behavior (NPO). suggested method matches structure these individuals' lives movements search for new food sources. mostly multi-swarm method; there are several clans, seeking best foraging opportunities. Prediction carried out after selecting informative support vector machine (SVM), frequently used variety prediction tasks. accuracy was evaluate system's performance. Its results indicate NPO SVM model returns high IG methods.</span>
منابع مشابه
Diabetes Prediction by Optimizing the Nearest Neighbor Algorithm Using Genetic Algorithm
Introduction: Diabetes or diabetes mellitus is a metabolic disorder in body when the body does not produce insulin, and produced insulin cannot function normally. The presence of various signs and symptoms of this disease makes it difficult for doctors to diagnose. Data mining allows analysis of patients’ clinical data for medical decision making. The aim of this study was to provide a model fo...
متن کاملDiabetes Prediction by Optimizing the Nearest Neighbor Algorithm Using Genetic Algorithm
Introduction: Diabetes or diabetes mellitus is a metabolic disorder in body when the body does not produce insulin, and produced insulin cannot function normally. The presence of various signs and symptoms of this disease makes it difficult for doctors to diagnose. Data mining allows analysis of patients’ clinical data for medical decision making. The aim of this study was to provide a model fo...
متن کاملOptimizing the Prediction Model of Stock Price in Pharmaceutical Companies Using Multiple Objective Particle Swarm Optimization Algorithm (MOPSO)
The purpose of this study is to optimize the stock price forecasting model with meta-innovation method in pharmaceutical companies.In this research, stock portfolio optimization has been done in two separate phases.The first phase is related to forecasting stock futures based on past stock information, which is forecasting the stock price using artificial neural network.The neural network used ...
متن کاملMagnesium and Alzheimers Disease: The Cholinergic Hypothesis
The cholinergic deficit in Alzheimer’s disease (AD) remains the cornerstone for the understanding of chemical signal transfer. Hypofunctions of cholinergic systems are significantly involved in the signs and symptoms of senile dementia of the Alzheimer type. Cognitive deficits in AD have been widely associated with dysfunction of the cholinergic system. As a diagnostic marker of AD the activity...
متن کاملSegmentation of Alzheimers Disease in PET scan datasets using MATLAB
Positron Emission Tomography (PET) scan images are one of the bio medical imaging techniques similar to that of MRI scan images but PET scan images are helpful in finding the development of tumors. The PET scan images requires expertise in the segmentation where clustering plays an important role in the automation process. The segmentation of such images is manual to automate the process cluste...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Electrical and Computer Engineering
سال: 2023
ISSN: ['2088-8708']
DOI: https://doi.org/10.11591/ijece.v13i2.pp2052-2067