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Hina Bansal, Reet Kaur Kohli, Kunal Saluja, Ankur Chaurasia
Recent advancements in biomedical research in the era of AI and ML —1
Shreya Jain, Jyoti Prajapati, Nitin Sharma, Ankur Saxena, Anupama Avasthi,
Ranjana Jadaun
Prediction of cardiovascular diseases using random forest and naive Bayes
algorithm — 21
Kajal Prajapati, Ravindra Kumar
Big data analytics for personalized medicine —39
Vaishali Mehta, Deepshikha Pande Katare, Potshangbam Angamba Meetei,
Ruchi Jakhmola Mani
Intellection of biological life in current era —53
Abhishek Sengupta, Payal Gupta, Payal Priyadarshini, Sudeepti Kulshrestha,
Ankur Chaurasia, Priyanka Narad
Integrating artificial intelligence techniques for analysis of next-generation
sequencing data----- 67
Mukund Sharma, Deepshikha Pande Katare, Ritu Chauhan, Shikha Rani,
Ruchi Jakhmola Mani
Artificial intelligence: the future of neuroscience —97
Shruti Rathore, Vanshika Jain, Sampath Chinnam
Role of big data and artificial intelligence for COVID-19 and cancer diagnosis
and treatments—117
Bhavika Chawla, Kumar Dron Shrivastav, Neha Taneja,
Jashoda Kishanlal Suthar, Mehak Segan, Vinita Kumar Jaggi, Harpreet Singh,
Priya Ranjan, Rajiv Janardhanan
Integrating screening modalities for early and precision-oriented
evidence-based screening of cervical cancer - a holistic approach —145
Vidya Moni, Shantosh Cumarasurier, Asim Bikas Das
Role of artificial intelligence and machine learning in diagnosis and
treatment of women centric cancer—155
Dhaval Kumar Srivastava, Aditya Vikram Singh, Kaamya Sharma,
Ankur Saxena, Mohit Saxena
The role of artificial intelligence, machine learning and deep learning in the
diagnosis, prognosis and treatment of cancers primarily associated with
women —167
Anushree A Avasthi, Bhawna Rathi, Anupama Avasthi
Oropharyngeal cancer prognosis based on clinicopathologic and quantitative
imaging biomarkers with multiparametric model and machine learning
methods—197
Parinita Sharma, Ankur Saxena, Anveshita De, Smitha Mony Sreedharan
Artificial intelligence and machine learning in healthcare: an ethical
perspective—213
Nada Hussein
Artificial intelligence in dentistry: current issues and perspectives —229
BenoTt Duchemann
Al for pattern recognition and objectivity: the case of melanoma
detection —249
Nicolas Brault, Etienne Aucouturier
Ethical horizons of biobank-based artificial intelligence in biomedical
research —265
Index----- 289

출판사 책소개

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.



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Artificial intelligence and computational dynamics for biomedical research 이용현황 표 - 등록번호, 청구기호, 권별정보, 자료실, 이용여부로 구성 되어있습니다.
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THE SERIES: INTELLIGENT BIOMEDICAL DATA ANALYSIS
By focusing on the methods and tools for intelligent data analysis, this series aims to narrow the increasing gap between data gathering and data comprehension. Emphasis is also given to the problems resulting from automated data collection in modern hospitals, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring. In medicine, overcoming this gap is crucial since medical decision making needs to be supported by arguments based on existing medical knowledge as well as information, regularities and trends extracted from big data sets.

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