Электронный каталог

Hulsen, Tim.
    Data Science in Healthcare : научная / ed. Tim Hulsen. - Switzerland : Mdpi AG, 2022. - 199, [1] p. - ISBN 978-3-0365-3983-6 : Б. ц.

Рубрики: Медицина

Кл.слова (ненормированные):
DATA, SCIENCE
Аннотация: Data science is an interdisciplinary field that applies numerous techniques, such as machine learning, neural networks, and deep learning, to create value based on extracting knowledge and insights from available data. Advances in data science have a significant impact on healthcare. While advances in the sharing of medical information result in better and earlier diagnoses as well as more patient-tailored treatments, information management is also affected by trends such as increased patient centricity (with shared decision making), self-care (e.g., using wearables), and integrated care delivery. The delivery of health services is being revolutionized through the sharing and integration of health data across organizational boundaries. Via data science, researchers can deliver new approaches to merge, analyze, and process complex data and gain more actionable insights, understanding, and knowledge at the individual and population levels. This Special Issue focuses on how data science is used in healthcare (e.g., through predictive modeling) and on related topics, such as data sharing and data management.
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Шифр: C956550853 ()

Critical Care Clinics [Текст] : data Science in Critical Care. - [Б. м. : б. и.]

Рубрики:
Медицина

Зарегистрированы поступления:
2023 

     2023: Том 39, № 4

Goraga, Zemelak.
    Data Science Project Ideas in Health Care / Zemelak Goraga. - [S. l.] : Zemelak Goraga, 2023. - 346, [3] p. - ISBN 979-8-223-79107-2 : Б. ц.

Рубрики: Медицина

Кл.слова (ненормированные):
DATA, SCIENCE
Аннотация: "Data Science in Action: Project Ideas, Methodology, and Python Codes in Health Care" is a pioneering guide at the crossroads of technology and healthcare, unveiling the transformative potential of data science in revolutionizing patient care. Through a lens of practical implementation, this book explores diverse projects, ranging from ailment prediction and chronic disease management to behavioral health and drug discovery. The reader is guided through the intricacies of Python codes, ensuring hands-on proficiency in translating data science concepts into actionable insights. Each chapter unveils innovative applications, from predicting Alzheimer's disease progression to customizing diabetes management plans. With a focus on elder care and aging, the book presents projects designed to enhance the well-being of the elderly through adaptive technologies. This comprehensive resource is a beacon for data scientists, data analysts, students, professionals and enthusiasts, offering a roadmap to harness the power of data for a future where technology and empathy converge to redefine healthcare.
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Etzioni, Ruth.
    Statistics for Health Data Science: An Organic Approach / Ruth Etzioni. - [S. l.] : Springer, 2020. - 222 p. - ISBN 978-3-030-59891-4 : Б. ц.

Рубрики: Медицина

Кл.слова (ненормированные):
Statistics
Аннотация: Highly interdisciplinary - drawing from statistics, health services, economics, and informatics Goes beyond the formulas, explaining why different methods work, how to choose from among them, and how to avoid misinterpreting results - to create confident users of appropriate analytic methods Addresses topical questions such as data science versus statistics, prediction versus explanation Provides a wide range of analytic and regression-type models specific to research questions about health care use and costs of care In-depth discussion on selection bias in observational data methods for inferring causality Supplementary Material Includes: Code and data for all examples and model analyses, Code for data processing and analysis, Code segments for simulation models
Доп.точки доступа:
Mandel, Micha

Свободных экз. нет

Loken, Barbara.
    Brands and Brand Management: Contemporary Research Perspectives : учебные программы / ed. Barbara Loken. - NY : Psychology Press, 2015. - 311, [2] p. - ISBN 978-1-138-88270-6 : Б. ц.

Рубрики: Менеджмент

Кл.слова (ненормированные):
Brands -- PSYCHOLOGY
Аннотация: Very few books exist that meaningfully integrate the rich and vast body of scientific research and theories that have accumulated in the field, relating to both traditional and contemporary topics in branding. This book accomplishes that task, with contributions from leading experts in the science of branding, national and international. The book should appeal to all students, faculty, and marketing professionals with an interest in research findings about brands, and an interest in deepening their understanding of how consumers view brands.
Доп.точки доступа:
Ahluwalia, Rohini
Houston , Michael J.

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Шифр: I865538569 ()

International Journal of scientific research in science, engineering and technology [Текст]. - [Б. м. : б. и.]. - ISSN 2395-1990
Зарегистрированы поступления:
2016 

     2016: 2

167/168
И 90
Nikolaeva, E.
    History and Philosophy of science common problems : учебное пособие / E. Nikolaeva. - Казань : Publishing House of the Kazan University, 2017. - 224 p. - (Kazan Federal University). - на англ. и русском языках. - ISBN 978-5-00019-779-0 : Б. ц.
Перевод заглавия: История и философия науки общие проблемы

УДК

167/168

Рубрики: Философия

Кл.слова (ненормированные):
История, философия, наука, медицина
Аннотация: Для магистров, аспирантов и соискателей
Доп.точки доступа:
Khazieva, N.

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16+

004.43
Б 50
Берман, Кеннеди.
    Основы Python для Data Science : Освойте Python и сразу приступайте к решению прикладных хадач, связанных с анализом данных / К. Берман. - Питер : СПб, 2023. - 272 с. : ил. - (серия " Библиотека программиста"). - ISBN 978-5-4461-2251-6 : 16280.00 тг.

УДК

004.43

Рубрики: Программирование--Python

Экземпляры всего: 2
ХР (2)
Свободны: ХР (2)

004.43
В 19
Васильев, Юлий.
    Python для data science : научное издание / Ю. Васильев. - Питер : СПб, 2025. - 272 с. : ил. - ISBN 978-5-4461-2392-6 : 13100.00 тг.

УДК

004.43

Рубрики: Программирование--Python

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338
C29
Cassia, Fabio.
    Accessible tourism in the Digital Ecosystem [Текст] / F Cassia, P Castellani, Ch Rossato. - 1-е изд. - Heidelberg : Springer, 2023. - 78 p. - (SpringerBriefs in Applied SCIENCES AND TECHNOLOGY). - ISBN 978-3-031-38782-1. - ISBN 978-3-031-38781-4 : 39865.00 тг.

УДК

338

Рубрики: Туризм

Доп.точки доступа:
Castellani, Paola
Rossato, Chiara

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