Computational intelligence and healthcare informatics

COMPUTATIONAL INTELLIGENCE and HEALTHCARE INFORMATICS The book provides the state-of-the-art innovation, research, design, and implements methodological and algorithmic solutions to data processing problems, designing and analysing evolving trends in health informatics, intelligent disease predictio...

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Detalles Bibliográficos
Otros Autores: Jena, Om Prakash, editor (editor)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Beverly, Massachusetts ; Hoboken, New Jersey : Scrivener Publishing [2021]
Colección:Machine Learning in Biomedical Science and Healthcare Informatics
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009645675206719
Tabla de Contenidos:
  • Front Matter
  • Introduction. Machine Learning and Big Data: An Approach Toward Better Healthcare Services / Nahid Sami, Asfia Aziz
  • Medical Data Processing and Analysis. Thoracic Image Analysis Using Deep Learning / Rakhi Wajgi, Jitendra V Tembhurne, Dipak Wajgi
  • Feature Selection and Machine Learning Models for High-Dimensional Data: State-of-the-Art / G Manikandan, S Abirami
  • A Smart Web Application for Symptom-Based Disease Detection and Prediction Using State-of-the-Art ML and ANN Models / Parvej Reja Saleh, Eeshankur Saikia
  • Classification of Heart Sound Signals Using Time-Frequency Image Texture Features / Sujata Vyas, Mukesh D Patil, Gajanan K Birajdar
  • Improving Multi-Label Classification in Prototype Selection Scenario / Himanshu Suyal, Avtar Singh
  • A Machine Learning-Based Intelligent Computational Framework for the Prediction of Diabetes Disease / Maqsood Hayat, Yar Muhammad, Muhammad Tahir
  • Hyperparameter Tuning of Ensemble Classifiers Using Grid Search and Random Search for Prediction of Heart Disease / Fathima M Dhilsath, S Justin Samuel
  • Computational Intelligence and Healthcare Informatics Part III-Recent Development and Advanced Methodologies / Sankar Pariserum Perumal, Ganapathy Sannasi, Kumar SVN Santhosh, Kannan Arputharaj
  • Wolfram's Cellular Automata Model in Health Informatics / Sutapa Sarkar, Mousumi Saha
  • Machine Learning and COVID Prospective. COVID-19: Classification of Countries for Analysis and Prediction of Global Novel Corona Virus Infections Disease Using Data Mining Techniques / Sachin Kamley, Shailesh Jaloree, RS Thakur, Kapil Saxena
  • Sentiment Analysis on Social Media for Emotional Prediction During COVID-19 Pandemic Using Efficient Machine Learning Approach / Kalimuthu Sivanantham
  • Primary Healthcare Model for Remote Area Using Self-Organizing Map Network / Sayan Das, Jaya Sil
  • Face Mask Detection in Real-Time Video Stream Using Deep Learning / Alok Negi, Krishan Kumar
  • A Computational Intelligence Approach for Skin Disease Identification Using Machine/Deep Learning Algorithms / Swathi Jamjala Narayanan, Pranav Raj Jaiswal, Ariyan Chowdhury, Amitha Maria Joseph, Saurabh Ambar
  • Asymptotic Patients' Healthcare Monitoring and Identification of Health Ailments in Post COVID-19 Scenario / Pushan KR Dutta, Akshay Vinayak, Simran Kumari
  • COVID-19 Detection System Using Cellular Automata-Based Segmentation Techniques / Rupashri Barik, M Nazma, B J Naskar, Sarbajyoti Mallik
  • Interesting Patterns From COVID-19 Dataset Using Graph-Based Statistical Analysis for Preventive Measures / C B Abhilash, Kavi Mahesh
  • Prospective of Computational Intelligence in Healthcare. Conceptualizing Tomorrow's Healthcare Through Digitization / Riddhi Chatterjee, Ratula Ray, Satya Ranjan Dash, Om Prakash Jena
  • Domain Adaptation of Parts of Speech Annotators in Hindi Biomedical Corpus: An NLP Approach / Pitambar Behera, Om Prakash Jena
  • Application of Natural Language Processing in Healthcare / Khushi Roy, Subhra Debdas, Sayantan Kundu, Shalini Chouhan, Shivangi Mohanty, Biswarup Biswas
  • Index