> Details
Saxena, Ankur
[Editor];
Saxena, Ankur
[Contributor];
Brault, Nicolas
[Editor];
Brault, Nicolas
[Contributor];
Aucouturier, Etienne
[Contributor];
Avasthi, Anupama
[Contributor];
Avasthi, Anushree A
[Contributor];
Bansal, Hina
[Contributor];
Chauhan, Ritu
[Contributor];
Chaurasia, Ankur
[Contributor];
Chawla, Bhavika
[Contributor];
Chinnam, Sampath
[Contributor];
Cumarasurier, Shantosh
[Contributor];
Das, Asim Bikas
[Contributor];
De, Anveshita
[Contributor];
Duchemann, Benoît
[Contributor];
Gupta, Payal
[Contributor];
Hussein, Nada
[Contributor];
Jadaun, Ranjana
[Contributor];
Jaggi, Vinita Kumar
[Contributor];
Jain, Shreya
[Contributor];
Jain, Vanshika
[Contributor];
Janardhanan, Rajiv
[Contributor];
Katare, Deepshikha Pande
[Contributor];
[...]
Artificial intelligence and computational dynamics for biomedical research
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- Media type: E-Book
- Title: Artificial intelligence and computational dynamics for biomedical research
-
Contains:
Frontmatter
Contents
Recent advancements in biomedical research in the era of AI and ML
Prediction of cardiovascular diseases using random forest and naive Bayes algorithm
Big data analytics for personalized medicine
Intellection of biological life in current era
Integrating artificial intelligence techniques for analysis of next-generation sequencing data
Artificial intelligence: the future of neuroscience
Role of big data and artificial intelligence for COVID-19 and cancer diagnosis and treatments
Integrating screening modalities for early and precision-oriented evidence-based screening of cervical cancer – a holistic approach
Role of artificial intelligence and machine learning in diagnosis and treatment of women centric cancer
The role of artificial intelligence, machine learning and deep learning in the diagnosis, prognosis and treatment of cancers primarily associated with women
Oropharyngeal cancer prognosis based on clinicopathologic and quantitative imaging biomarkers with multiparametric model and machine learning methods
Artificial intelligence and machine learning in healthcare: an ethical perspective
Artificial intelligence in dentistry: current issues and perspectives
AI for pattern recognition and objectivity: the case of melanoma detection
Ethical horizons of biobank-based artificial intelligence in biomedical research
Index
- Contributor: Saxena, Ankur [MitwirkendeR]; Brault, Nicolas [MitwirkendeR]; Aucouturier, Etienne [MitwirkendeR]; Avasthi, Anupama [MitwirkendeR]; Avasthi, Anushree A [MitwirkendeR]; Bansal, Hina [MitwirkendeR]; Chauhan, Ritu [MitwirkendeR]; Chaurasia, Ankur [MitwirkendeR]; Chawla, Bhavika [MitwirkendeR]; Chinnam, Sampath [MitwirkendeR]; Cumarasurier, Shantosh [MitwirkendeR]; Das, Asim Bikas [MitwirkendeR]; De, Anveshita [MitwirkendeR]; Duchemann, Benoît [MitwirkendeR]; Gupta, Payal [MitwirkendeR]; Hussein, Nada [MitwirkendeR]; Jadaun, Ranjana [MitwirkendeR]; Jaggi, Vinita Kumar [MitwirkendeR]; Jain, Shreya [MitwirkendeR]; Jain, Vanshika [MitwirkendeR]; Janardhanan, Rajiv [MitwirkendeR]; Katare, Deepshikha Pande [MitwirkendeR]; Kohli, Reet Kaur [MitwirkendeR]; Kulshrestha, Sudeepti [MitwirkendeR]; Kumar, Ravindra [MitwirkendeR]; Mani, Ruchi Jakhmola [MitwirkendeR]; Meetei, Potshangbam Angamba [MitwirkendeR]; Mehta, Vaishali [MitwirkendeR]; Moni, Vidya [MitwirkendeR]; Narad, Priyanka [MitwirkendeR]; Prajapati, Jyoti [MitwirkendeR]; Prajapati, Kajal [MitwirkendeR]; Priyadarshini, Payal [MitwirkendeR]; Rani, Shikha [MitwirkendeR]; Ranjan, Priya [MitwirkendeR]; Rathi, Bhawna [MitwirkendeR]; Rathore, Shruti [MitwirkendeR]; Saluja, Kunal [MitwirkendeR]; Saxena, Mohit [MitwirkendeR]; Segan, Mehak [MitwirkendeR]; Sengupta, Abhishek [MitwirkendeR]; Sharma, Kaamya [MitwirkendeR]; Sharma, Mukund [MitwirkendeR]; Sharma, Nitin [MitwirkendeR]; Sharma, Parinita [MitwirkendeR]; Shrivastav, Kumar Dron [MitwirkendeR]; Singh, Aditya Vikram [MitwirkendeR]; Singh, Harpreet [MitwirkendeR]; Sreedharan, Smitha Mony [MitwirkendeR]; Srivastava, Dhaval Kumar [MitwirkendeR]; Suthar, Jashoda Kishanlal [MitwirkendeR]; Taneja, Neha [MitwirkendeR]
-
imprint:
Berlin; Boston: De Gruyter, [2022]
- Published in: Intelligent Biomedical Data Analysis ; 8
- Extent: 1 Online-Ressource (VI, 292 Seiten)
- Language: English
- DOI: 10.1515/9783110762044
- ISBN: 9783110762044; 9783110762082
- Identifier:
-
RVK notation:
ST 300 : Allgemeines
XF 1277 : Medizinische Statistik und Informatik
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Keywords:
Medizinische Informatik
>
Cloud Computing
>
Big Data
>
Diagnostik
- Reproduction note: Issued also in print
- Origination:
-
Footnote:
In English
- Description: This work presents the latest development in the field of computational intelligence to advance Big Data and Cloud Computing concerning applications in medical diagnosis. As forum for academia and professionals it covers state-of-the-art research challenges and issues in the digital information & knowledge management and the concerns along with the solutions adopted in these fields.
- Access State: Restricted Access | Information to licenced electronic resources of the SLUB