<scp>ASD</scp>in Infants and Toddlers

Chawarska, Katarzyna; Macari, Suzanne; Volkmar, Fred R.; Kim, So Hyun; Shic, Frederick

doi:10.1002/9781118911389.hautc05

Cited by 3 publications

References 194 publications

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Performance Analysis of Algorithms on Different Types of Health Related Datasets

Khanom

Nihar

Hassan

et al. 2020

J. Phys.: Conf. Ser.

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Healthcare related data are very important for people of the global community to make them aware of their lives and rights. By analyzing performances of different types of health-related data produce efficient valuable rich information; which can be used in further healthcare research. From the previous works we have seen, they have also tried to analyze the performances of algorithms to modify the accuracy but this study is unique as it has used lots of different types of health-related datasets and algorithms together to achieve better accuracy. This study aims to analyze performances of algorithms on different types of healthcare related data to produce effective information in order to assist global community in their daily life. This will help people to lead a healthy and comfortable life and innovate new ideas to further change their lifestyle. The effective information or the standard used here is the accuracy of the applied algorithms.

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Performance Analysis of Algorithms on Different Types of Health Related Datasets

Khanom

Nihar

Hassan

et al. 2020

J. Phys.: Conf. Ser.

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General Introduction

2022

Advances in Early Childhood and K-12 Education

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This chapter explains the ways in which language, though not a diagnostic feature of autism, is nonetheless central to it. The chapter provides an overview of the language challenges in autism, including speech, vocabulary, grammar and syntax, pragmatics, language comprehension, and narrative skills. It discusses how these challenges range in severity across the autism spectrum, from individuals who are non-speaking to those who are fully fluent but still struggle with social communication. It also discusses some of the uncertainties surrounding non-speaking autism. It then surveys the various ways in which language affects social development, cognitive development, academic development, behavior, and psychological well-being.

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In-Person Therapies for Language

2022

Advances in Early Childhood and K-12 Education

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This chapter reviews the major in-person therapies for autism. It begins with standard therapies like general speech-language therapy, applied behavioral analysis (ABA/DTT), and more naturalistic alternatives (DSP/DIR/Floor Time). It discusses how these therapies approach language and what the data show about their efficacy. It then turns to additional/supplemental strategies, including those that seek to boost attention to speech and others that use visual strategies like the picture exchange communication system (PECS). The chapter then describes other systematic approaches to instruction—direct instruction and precision teaching—discussing how these potentially contribute to language instruction. It concludes with a discussion of the shortcomings of the in-person methods, including limitations in eliciting appropriate practice, challenges providing appropriate feedback, deficiencies in curriculum coverage (particularly grammar and pragmatics), and difficulty providing effective instruction to non-speaking, nonverbal individuals.

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ASDin Infants and Toddlers

Cited by 3 publications

References 194 publications

Performance Analysis of Algorithms on Different Types of Health Related Datasets

Performance Analysis of Algorithms on Different Types of Health Related Datasets

General Introduction

In-Person Therapies for Language

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