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Search Results (13)
  • Open Access

    ARTICLE

    Facial Image-Based Autism Detection: A Comparative Study of Deep Neural Network Classifiers

    Tayyaba Farhat1,2, Sheeraz Akram3,*, Hatoon S. AlSagri3, Zulfiqar Ali4, Awais Ahmad3, Arfan Jaffar1,2

    CMC-Computers, Materials & Continua, Vol.78, No.1, pp. 105-126, 2024, DOI:10.32604/cmc.2023.045022

    Abstract Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by significant challenges in social interaction, communication, and repetitive behaviors. Timely and precise ASD detection is crucial, particularly in regions with limited diagnostic resources like Pakistan. This study aims to conduct an extensive comparative analysis of various machine learning classifiers for ASD detection using facial images to identify an accurate and cost-effective solution tailored to the local context. The research involves experimentation with VGG16 and MobileNet models, exploring different batch sizes, optimizers, and learning rate schedulers. In addition, the “Orange” machine learning tool is employed to evaluate classifier performance and automated… More >

  • Open Access

    ARTICLE

    Eye-Tracking Based Autism Spectrum Disorder Diagnosis Using Chaotic Butterfly Optimization with Deep Learning Model

    Tamilvizhi Thanarajan1, Youseef Alotaibi2, Surendran Rajendran3,*, Krishnaraj Nagappan4

    CMC-Computers, Materials & Continua, Vol.76, No.2, pp. 1995-2013, 2023, DOI:10.32604/cmc.2023.039644

    Abstract Autism spectrum disorder (ASD) can be defined as a neurodevelopmental condition or illness that can disturb kids who have heterogeneous characteristics, like changes in behavior, social disabilities, and difficulty communicating with others. Eye tracking (ET) has become a useful method to detect ASD. One vital aspect of moral erudition is the aptitude to have common visual attention. The eye-tracking approach offers valuable data regarding the visual behavior of children for accurate and early detection. Eye-tracking data can offer insightful information about the behavior and thought processes of people with ASD, but it is important to be aware of its limitations… More >

  • Open Access

    ARTICLE

    The Effects of Therapeutic Horseback Riding Program on Motor Skills in Children with Autism Spectrum Disorder

    Mengxian Zhao1, Yonghao You2, Jinming Li3, Sean Healy4, Alyx Taylor5, Zhihao Zhang3, Linlin Li6, Liye Zou7,*

    International Journal of Mental Health Promotion, Vol.24, No.4, pp. 475-489, 2022, DOI:10.32604/ijmhp.2022.021361

    Abstract Therapeutic horseback riding (THR) as an animal-assisted intervention is one of the innovative approaches emerging in the treatment for children with autism spectrum disorder (ASD). The current study was designed to investigate the effects of a 12-week, twice a week THR program on motor skills in sixty-eight children with ASD aged 5–10 years old. All participants selected met the DSM-V criteria for ASD, and a total of fifty-three participants completed the study. A randomized controlled trial design was utilized for the study. Data was collected via a pre-THR test, interim-THR test, and post-THR test to investigate the possible changes in… More >

  • Open Access

    ARTICLE

    A Personalized Comprehensive Cloud-Based Method for Heterogeneous MAGDM and Application in COVID-19

    Xiaobing Mao, Hao Wu, Shuping Wan*

    CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.3, pp. 1751-1792, 2022, DOI:10.32604/cmes.2022.019501

    Abstract This paper proposes a personalized comprehensive cloud-based method for heterogeneous multi-attribute group decision-making (MAGDM), in which the evaluations of alternatives on attributes are represented by LTs (linguistic terms), PLTSs (probabilistic linguistic term sets) and LHFSs (linguistic hesitant fuzzy sets). As an effective tool to describe LTs, cloud model is used to quantify the qualitative evaluations. Firstly, the regulation parameters of entropy and hyper entropy are defined, and they are further incorporated into the transformation process from LTs to clouds for reflecting the different personalities of decision-makers (DMs). To tackle the evaluation information in the form of PLTSs and LHFSs, PLTS… More >

  • Open Access

    REVIEW

    Future perspectives on cell therapy for autism spectrum disorder

    MAKOTO NABETANI1,*, TAKEO MUKAI2

    BIOCELL, Vol.46, No.4, pp. 873-879, 2022, DOI:10.32604/biocell.2022.018218

    Abstract Autism spectrum disorder (ASD) is a complex neurodevelopmental condition characterized by impairments in social communication, abnormal to absent verbal communication, the presence of repetitive stereotypic verbal and non-verbal behaviors and restricted interests, with onset early in life. We showed cognitive and behavioral characteristics of ASD by impairment of communication, cognition, perception, motor skills, executive function, theory of mind and emotion control. Recently, pathogenesis of immune pathology in the brains of individuals with ASD has been focused. New therapeutic approaches in the viewpoints of immune modulation and microglial function are logical for novel treatments for individuals with ASD. Cell therapies such… More >

  • Open Access

    ARTICLE

    Recommendation Learning System Model for Children with Autism

    V. Balaji*, S. Kanaga Suba Raja

    Intelligent Automation & Soft Computing, Vol.31, No.2, pp. 1301-1315, 2022, DOI:10.32604/iasc.2022.020287

    Abstract Autism spectrum disorder (ASD), is a neurological developmental disorder. It affects how people communicate and interact with others, as well as how they behave and learn. The symptoms and signs appear when a child is very young. Derived with increased usage of machine learning procedure in the medicinal analysis investigations. In this paper, our objective is to find out the most significant attributes and automate the process using classification techniques and pattern clustering using K-means clustering. We have analyzed ASD datasets of children towards determining the best performance of classifier for these binary datasets considering recall, precision, accuracy and classification… More >

  • Open Access

    CASE REPORT

    The ASD that Wouldn’t Go Away: An Unusual Case of ASD Device Failure in a Patient with Marfan Syndrome

    Christopher M. Day1,*, Neda Mulla2, Timothy Martens3, Brent M. Gordon2

    Congenital Heart Disease, Vol.16, No.2, pp. 183-187, 2021, DOI:10.32604/CHD.2021.014337

    Abstract Marfan syndrome patients have connective tissue abnormalities that predispose them to intracardiac defects and postoperative complications. We present a case of late onset ASD device failure secondary to device movement within the atrial septum in a girl with Marfan syndrome. This case study suggests that further studies are necessary to determine the optimal device and approach for ASD repair in this patient cohort. More >

  • Open Access

    CASE REPORT

    Surgery for Residual Inferior Left-to-Right Atrial Shunt

    Francesco Bertelli1, Claudia Cattapan1, Alvise Guariento2, Vladimiro L. Vida1,*

    Congenital Heart Disease, Vol.16, No.1, pp. 39-43, 2021, DOI:10.32604/CHD.2021.013256

    Abstract We report the case of three female patients who were scheduled for surgical correction of residual left-to-right shunt after initial repair of sinus venosus atrial septal defect (SV-ASD) during childhood. After excluding the possibility of an hemodynamic intervention, all three patients underwent a successful surgical closure through a right mini sub-axillary approach by using total peripheral cannulation for cardiopulmonary bypass and leaving the inferior vena cava completely un-snared allowing for an optimal visualization of the residual atrial septal communication and avoiding extensive dissection of mediastinal structures. More >

  • Open Access

    ARTICLE

    Safety and Efficacy of Transcatheter Closure of Atrial Septal Defects in Everyday Practice. A Multicenter Study in a Developing Country

    Amira Nour1,*, Heba Kamel1, Yasmeen Abdelrazik1, Khaled Shams2, Noha Gamal3, Safaa Huessin4, Alaa Roushdy1, Maiy El Sayed1

    Congenital Heart Disease, Vol.15, No.2, pp. 79-87, 2020, DOI:10.32604/CHD.2020.011249

    Abstract Background: Transcatheter closure of secudum atrial septal defect (ASD) has gained wide acceptance since its introduction more than 3 decades ago. Safety and efficacy of the procedure in everyday practice needs continuous update. Objective: The aim of the study is to determine the incidence of complications and identify everyday management protocols. Methods: This is a prospective nonrandomized study including all the patients with Secundum ASD or fenestrated IAS referred to two different congenital heart diseases centers in Ain Shams university and sohag university in Egypt over 2 years with an indication for closure according to American and European guidelines. A… More >

  • Open Access

    ARTICLE

    Novel mutation of GATA4 gene in Kurdish population of Iran with nonsyndromic congenital heart septals defects

    Fariborz Soheili1,2, Zahra Jalili3, Mahtab Rahbar4, Zahed Khatooni1, Amir Mashayekhi5, Hossein Jafari6

    Congenital Heart Disease, Vol.13, No.2, pp. 295-304, 2018, DOI:10.1111/chd.12571

    Abstract Background: The mutations in GATA4 gene induce inherited atrial and ventricular septation defects, which is the most frequent forms of congenital heart defects (CHDs) constituting about half of all cases.
    Method: We have performed High resolution melting (HRM) mutation scanning of GATA4 coding exons of nonsyndrome 100 patients as a case group including 39 atrial septal defects (ASD), 57 ventricular septal defects (VSD) and four patients with both above defects and 50 healthy individuals as a control group. Our samples are categorized according to their HRM graph. The genome sequencing has been done for 15 control samples and 25 samples… More >

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