An effective autism spectrum disorder screening method using machine learning classification techniques

Concurrency and Computation Practice and Experience, Journal Year: 2023, Volume and Issue: 36(2)

Published: Oct. 16, 2023

Summary Nowadays, autism spectrum disorder (ASD) is one of the fastest‐growing developmental disorders globally. Screening test consumes more time and expensive to detect signs. Due advances in artificial intelligence machine learning (ML), Autism can be predicted at initial stage. Numerous researches have been conducted using different methods, but none these presented any anticipated results about capability predict traits under age groups. Therefore, this paper proposes an effectual prediction method based upon ML strategy develop a mobile application for predicting ASD people. The model developed by five classifiers, such as Gaussian Naive Bayes, Decision Tree Classifier, K‐Nearest Neighbors (KNN), Multinomial Logistic Regression (MLR), Support Vector Machine (SVM) also proposed method. analyzed with IAPQ records gathered from certain areas Erode district, Tamil Nadu, India. From analysis, SVM classifier achieves maximum sensitivity 23.14%, 6.04%, 5.89%, 11.03% than other like KNN, MLR.

Language: Английский

---

Optimizing Northern Goshawk Algorithm with Fuzzy Logic and Whale Algorithm Strategies

Mathematical Modelling and Engineering Problems, Journal Year: 2024, Volume and Issue: 11(5), P. 1265 - 1272

Published: May 30, 2024

Scientists have initiated the examination of living behavioral patterns organisms, with a primary focus on their quest for sustenance and evasion predators to ensure survival.This research endeavors formulate mathematical models capable emulating these behaviors, thereby empowering address intricate demanding quandaries.In this investigation, two distinct strategies were employed enhance problem-solving capabilities.The first strategy entailed synergizing North Goshawk Optimization Algorithm (NGOA) fuzzy logic (FL).Fuzzy was leveraged impart fuzziness initial population allocate membership grades all community elements within confines framework.The second involved integration hybridization approaches: through via equations between Fuzzy Whale (WOA).The proposed methodology implemented across ten fundamental functions, revealing marked superiority algorithm when compared original version.

Language: Английский

---

Automated Grading System for Breast Cancer Histopathological Images Using Histogram of Oriented Gradients (HOG) Algorithm

Applied Data Science and Analysis, Journal Year: 2023, Volume and Issue: unknown, P. 78 - 87

Published: Aug. 29, 2023

Breast cancer is the most common type of in world, affecting both men and women. In 2023, American Cancer Society's reported that there will be approximately 297,800 new cases invasive breast women 2,850 men, along with 55,750 ductal carcinoma situ (DCIS) Further, an estimated 43,750 deaths are expected from cancer, which 43,180 among 570 men. this paper, we propose automated grading system for based on tumor's histopathological images using a combination Histogram Oriented Gradients (HOG) feature extraction machine learning algorithms. The proposed has four main phases: image preprocessing segmentation, extraction, classification, integration website. Grayscale conversion, enhancement, noise artifact removal methods used during stage. Then segment segmentation phase to extract regions interest. And then, features extracted obtained region interest algorithm. next, classified into three distinct grades Moreover, effectiveness was evaluated vary evaluation results showed remarkable accuracy up 97% by SVM classifier. Finally, model integrated website improve detection diagnosis disease facilitate access use patient data. This make work easier physicians enhance treatment

Language: Английский

---

Human Factor Engineering Research for Rehabilitation Robots: A Systematic Review

Computational Intelligence and Neuroscience, Journal Year: 2023, Volume and Issue: 2023(1)

Published: Jan. 1, 2023

The application of human factors engineering for rehabilitation robots is based on a "human-centered" design philosophy that strives to provide safe and efficient human-robot interaction training patients rather than depending therapists. Human undergoing preliminary investigation. However, the depth breadth current research do not complete factor solution developing robots. This study aims systematic review at intersection robotics ergonomics understand progress state-of-the-art critical factors, issues, corresponding solutions A total 496 relevant studies were obtained from six scientific database searches, reference citation-tracking strategies. After applying selection criteria reading full text each study, 21 selected classified into four categories their objectives: implementation high safety, lightweight comfort, interaction, performance evaluation index system studies. Based results studies, recommendations future are presented discussed.

Language: Английский

---

Behavioral and Clinical Data Analysis for Autism Spectrum Disorder Screening with Machine Learning

2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON), Journal Year: 2023, Volume and Issue: unknown, P. 1803 - 1810

Published: Dec. 1, 2023

The study of appropriate and accurate classification for "autism spectrum disorder (ASD)" is crucial, this study, "Behavioral Clinical Data Analysis Autism Spectrum Disorder Screening with Machine Learning," aims to fulfil requirement. integrates both "quantitative qualitative methodologies" through an integrated approach accessible philosophy. Approaches gathering data include compiling datasets, reviewing relevant research, obtaining EEG, emotions, eye motion data. In order boost the accuracy ASD screening, statistical models including "logistic regression, neural networks, support vector machines have been created." This quantitative analysis enhanced by a thematic approach, which pinpoints recurrent themes characteristics. protection permission from subjects are given top priority in study's ethical concerns. theoretical practical divide, studies hope improve effective diagnosis treatments.

Language: Английский

---