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Assessing COVID-19 and Other Pandemics and Epidemics Using Computational Modelling and Data Analysis
Assessing COVID-19 and Other Pandemics and Epidemics Using Computational Modelling and Data Analysis
Autore Pani Subhendu Kumar
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2022
Descrizione fisica 1 online resource (416 pages)
Altri autori (Persone) DashSujata
dos SantosWellington P
Chan BukhariSyed Ahmad
FlamminiFrancesco
Soggetto genere / forma Electronic books.
ISBN 9783030797539
9783030797522
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910513596703321
Pani Subhendu Kumar  
Cham : , : Springer International Publishing AG, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Deep Learning Techniques for Biomedical and Health Informatics / / edited by Sujata Dash, Biswa Ranjan Acharya, Mamta Mittal, Ajith Abraham, Arpad Kelemen
Deep Learning Techniques for Biomedical and Health Informatics / / edited by Sujata Dash, Biswa Ranjan Acharya, Mamta Mittal, Ajith Abraham, Arpad Kelemen
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (395 pages)
Disciplina 006.31
Collana Studies in Big Data
Soggetto topico Computational intelligence
Engineering—Data processing
Biomedical engineering
Big data
Artificial intelligence
Computational Intelligence
Data Engineering
Biomedical Engineering and Bioengineering
Big Data
Artificial Intelligence
ISBN 3-030-33966-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto MedNLU: Natural Language Understander for Medical Texts -- Deep Learning Based Biomedical Named Entity Recognition Systems -- Disambiguation Model for Bio-Medical Named Entity Recognition -- Applications of Deep Learning in Healthcare and Biomedicine -- Deep Learning for Clinical Decision Support Systems: A Review from the Panorama of Smart Healthcare -- Review of Machine Learning and Deep Learning based Recommender Systems for Health Informatics -- Deep Learning and Explainable AI in Healthcare using EHR -- Deep Learning for Analysis of Electronic Heath Records -- Bioinformatics Using Deep Architecture -- Intelligent, Secure Big Health Data Management using Deep Learning and Blockchain Technology: An Overview -- Malaria Disease Detection using CNN Technique with SGD, RMSprop and ADAM Optimizers -- Deep Reinforcement Learning based Personalized Health Recommendations.
Record Nr. UNINA-9910483376403321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui