1.

Record Nr.

UNINA990005028010403321

Autore

Puppo, Mario <1913-1989>

Titolo

Croce e D'Annunzio e altri saggi / Mario Puppo

Pubbl/distr/stampa

Firenze, : Olschki, 1964

Descrizione fisica

172 p. ; 20 cm

Collana

Saggi di Lettere italiane ; 5

Disciplina

801.9

Locazione

FLFBC

Collocazione

801.9 PUPM 01

Lingua di pubblicazione

Italiano

Formato

Materiale a stampa

Livello bibliografico

Monografia

2.

Record Nr.

UNINA9910488697903321

Titolo

Intelligent Healthcare : Applications of AI in eHealth / / edited by Surbhi Bhatia, Ashutosh Kumar Dubey, Rita Chhikara, Poonam Chaudhary, Abhishek Kumar

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021

ISBN

3-030-67051-1

Edizione

[1st ed. 2021.]

Descrizione fisica

1 online resource (328 pages)

Collana

EAI/Springer Innovations in Communication and Computing, , 2522-8609

Disciplina

610.28563

Soggetti

Telecommunication

Biomedical engineering

Medical informatics

Application software

Communications Engineering, Networks

Biomedical Engineering and Bioengineering

Health Informatics

Computer and Information Systems Applications

Lingua di pubblicazione

Inglese



Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Introduction -- Part –I Medical Expert Systems -- Mobile Agents in Healthcare -- Fuzzy Expert Systems in Medical Domain -- Expert Systems for Bioinformatics -- Virtual Reality and Augmented Realty support systems -- Brain Computer Interface for rehabilitation -- Robotics in healthcare -- Part –II Machine Learning in Healthcare -- Rule based Learning in Healthcare -- Classification and Regression in Healthcare -- Clustering algorithms -- Deep Learning in Healthcare -- Big Data -- Nature Inspired Algorithms -- Part III Case Studies -- Corona Virus Study -- Dementia Prediction -- Brain Injury Data Analysis -- Pesticide data Analysis for cancer detection -- Conclusion.

Sommario/riassunto

This book fosters a scientific debate for sophisticated approaches and cognitive technologies (such as deep learning, machine learning and advanced analytics) for enhanced healthcare services in light of the tremendous scope in the future of intelligent systems for healthcare. The authors discuss the proliferation of huge data sources (e.g. genomes, electronic health records (EHRs), mobile diagnostics, and wearable devices) and breakthroughs in artificial intelligence applications, which have unlocked the doors for diagnosing and treating multitudes of rare diseases. The contributors show how the widespread adoption of intelligent health based systems could help overcome challenges, such as shortages of staff and supplies, accessibility barriers, lack of awareness on certain health issues, identification of patient needs, and early detection and diagnosis of illnesses. This book is a small yet significant step towards exploring recent advances, disseminating state-of-the-art techniquesand deploying novel technologies in intelligent healthcare services and applications. Describes the advances of computing methodologies for life and medical science data; Presents applications of artificial intelligence in healthcare along with case studies and datasets; Provides an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians.