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Big Data in Oncology: Impact, Challenges, and Risk Assessment
Loot Price: R3,560
Discovery Miles 35 600
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Big Data in Oncology: Impact, Challenges, and Risk Assessment
Expected to ship within 12 - 19 working days
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This book brings together insights for cancer management from
emerging sophisticated information and communication technologies
such as artificial intelligence, data science, and big data
analytics. It focuses on targeted disease treatment using big data
analytics, providing information about targeted treatment in
oncology, challenges and application of big data in cancer therapy.
Featured topics include: Recent developments in the fields of
artificial intelligence, machine learning, medical imaging,
personalized medicine, computing and data analytics for improved
patient care. Description of the application of big data with AI to
discover new targeting points for cancer treatment. Summary of
several risk assessments in the field of oncology using big data.
Focus on prediction of doses in oncology using big data We are in
the era of large-scale science. In oncology there is a huge number
of data sets grouping information on cancer genomes,
transcriptomes, clinical data, and more. The challenge of big data
in cancer is to integrate all this diversity of data collected into
a unique platform that can be analyzed, leading to the generation
of readable files. The possibility of harnessing information from
all the accumulated data leads to an improvement in cancer patient
treatment and outcome. Solving the big data problem in oncology has
multiple facets. Big data in Oncology: Impact, Challenges, and Risk
Assessment brings together insights from emerging sophisticated
information and communication technologies such as artificial
intelligence, data science, and big data analytics for cancer
management. The book is written for academics, research scholars,
health care professionals, hospital management, pharmaceutical
chemist, biomedical industry, software engineers and IT
professionals.
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