Artificial Intelligence Applications in Emerging Healthcare Technologies

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Artificial Intelligence Applications in Emerging Healthcare Technologies

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 400 p.
  • 言語 ENG
  • 商品コード 9780443334962

Full Description

Artificial Intelligence Applications in Emerging Healthcare Technologies presents the latest advances and state-of-the-art methods and applications of computer science and emerging AI technologies in health and medicine. The book explores the impact of artificial intelligence (AI) in healthcare for medical decision-making and data analysis, tackling topics such as cloud computing, cybersecurity, the internet of things, natural language processing, virtual health, data science applied to healthcare, personalized medicine, imaging, diagnosis, drug discovery, and diseases, among others.

Chapters present adaptations or improvements on previous models and algorithms to process data from different sources. Other chapters investigate new formulations for the optimization of known procedures and algorithms. Finally, all chapters use experimental methods to study problems of interest in healthcare. This is a great resource for researchers and students who want to learn how machine learning algorithms and other data science techniques have been implemented to solve healthcare-related problems.

Contents

1. Artificial Intelligence Applied in Emerging Healthcare Technologies
Juana Canul-Reich, Lil María Rodríguez Henríquez and Miguel A. Wister
2. Towards Detection of Depression and Anxiety in Adolescents through Social Media Texts
Irvin Hussein Lopez-Nava and Scarlett Magdaleno-Gatica
3. Enhancing Air Quality Analysis with Quantum Computing: Predicting the Risk of Sick Building Syndrome
Fabian Cuesta, Laura Rodriguez, Éldman de Oliveira Nunes, Paulo Nazareno Maia Sampaio and Ariel Posada
4. Incorporating a Chatbot in a Virtual Rehabilitation System: Methodology and Preliminary Evaluation
Delia Irazú Hernández-Farías, María Fernanda Rojano Cacho and Enrique Sucar Succar
5. Automatic Speech Analysis for Detecting Cognitive Impairment
J. Iván López-Velázquez, Carlos A. Olachea-Hernández, Francisco I. González-Hernández,
Alejandro A. Torres-García, Manuel Montes-y-Gómez, and Luis Villaseñor-Pineda
6. Personalized medicine, digital innovation, and artificial intelligence: An analysis according to the different stakeholders
Thomas Lefèvre, Cyrille Delpierre and Eri Kasagi
7. Impact of Artificial Intelligence (AI) on Diagnostic Disease Detection
Harishchander Anandaram, Manimaran S and Anand Nayyar Sr.
8. Association of D-dimer and Fibrinogen with COVID-19 Severity: A Statistical and Clustering Approach
Henry J. Hernández-Gómez, Freddy De la Cruz-Ruiz and Erasmo Zamarron-Licona
9. Application of Artificial Intelligence in the Research of Communicable and Non-Communicable Diseases
Freddy De la Cruz-Ruiz, Erasmo Zamarron-Licona, Sarai Aguilar-Barojas and Angel-Domingo Hernandez-de-la-O
10. AI-Assisted Identification of Depressive Symptoms with Large Language Models
Delia Irazú Hernández-Farías, Hugo Jair Escalante Balderas, Luis Villaseñor-Pineda, Karla Maria Valencia Segura, Diana Guadalupe Soancatl Rodriguez and Leydi Guadalupe Soancatl Rodriguez
11. Hand information extraction using artificial intelligence for Alzheimer's disease diagnosis
Eyitomilayo Yemisi Babatope, Mireya Saraí García-Vázquez and Alejandro Álvaro Ramírez-Acosta
12. Assistive System for Visually Impaired Using YOLO and WebSockets
Diego Leonardo Ramirez Mancilla Sr., Diana Montserrat Albores Santiago, Diana Paulina Martínez Cancino, Abraham Hernández Jímenez and José Octavio Vázquez Buenos Aires

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