Natural Language Processing In Healthcare (ePub)
As Natural Language Processing (NLP) gets more and more traction in healthcare applications, there is a growing demand for developing solutions that can understand, analyze, and generate languages that humans can understand.
33 DeutschlandCard Punkte sammeln
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
As Natural Language Processing (NLP) gets more and more traction in healthcare applications, there is a growing demand for developing solutions that can understand, analyze, and generate languages that humans can understand.
Dr. Satya Ranjan Dash is a computer professional, with his research interest in machine learning, deep learning with NLP, Computational Biology, and Biomedical domain. He is currently working as an associate professor at KIIT University, India. His current research includes Natural Language Processing, particularly text summarization, topic detection, language detection, machine translation for low resource languages.
Dr. Shantipriya Parida works as a Post-doctoral researcher at Idiap Research Institute, Switzerland since Feb 2019. His current research includes Natural Language Processing, particularly text summarization, topic detection, language detection, machine translation for Indian languages, multi-modal machine translation, and corpus development for low resource Indian language. Before Idiap, he was working as a Post-doctoral researcher with Prof. Ondrej Bojar at Charles University, Prague working on Machine Translation, and Deep Learning. He has expertise in Machine Learning, AI, Computational Neuroscience, Product Development, System/Solution Architecture. He is an organizing committee member for Workshop on Asian Translation WAT2019 and WAT2020. Along with
Dr. Esaú Villatoro holds a tenure position at the Universidad Autónoma Metropolitana campus Cuajimalpa (UAM-C) in Mexico City. Currently, he is an academic visitor at Idiap Research Institute in Martigny Switzerland. His main research interests are related to Natural Language Processing, particularly authorship analysis, and non-thematic text categorization. He is an active member of several research groups and NLP organizations: the Language and Reasoning research Group at UAM-C, the Laboratory of Language Technologies at the National Institute of Astrophysics, Optics and Electronics, the Mexican Association for Natural Language Processing (AMPLN), the Hispano-American Network for Automatic Human Language Processing (RedHisTAL) and the Mexican Academy of Computer Science (AMEXCOMP).
Biswa Ranjan Acharya is an academic currently associated with Kalinga Institute of Industrial Technology Deemed to be University along with pursuing a Ph.D. in computer application from Veer Surendra Sai University of Technology (VSSUT), Burla, Odisha, India. He has received MCA in 2009 from IGNOU, New Delhi, India and M.Tech in Computer Science and Engineering in the year of 2012 from Biju Pattanaik University of Technology (BPUT), Odisha, India. He is also associated with various educational and research societies like IEEE, IACSIT, CSI, IAENG, and ISC. He has 2 years of industry experience as a software engineer, a total of 10 years of experience in both academia of some reputed universities like Ravenshaw University and the software development field. He is currently working on research area multiprocessor scheduling along with different fields like Data Analytics, Computer Vision, Machine Learning, and IoT. He published some research articles in internationally reputable journals as well as serving as a reviewer.
- 2022, 1. Auflage, 312 Seiten, Englisch
- Herausgegeben: Satya Ranjan Dash, Shantipriya Parida, Esaú Villatoro Tello, Biswaranjan Acharya, Ondrej Bojar
- Verlag: Taylor & Francis
- ISBN-10: 1000624692
- ISBN-13: 9781000624694
- Erscheinungsdatum: 13.09.2022
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: ePub
- Größe: 2.27 MB
- Ohne Kopierschutz
- Vorlesefunktion
Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
---|
Schreiben Sie einen Kommentar zu "Natural Language Processing In Healthcare".
Kommentar verfassen