Электронный каталог

Sundarka, Anurag.
    Fundraising Decoded: For First Time Founders : научная / Anurag Sundarka. - [S. l.] : ZebraLearn, 2023. - 340 p. : il. - ISBN 978-81-958950-8-3 : Б. ц.

Рубрики: Медицина

Кл.слова (ненормированные):
FUNDRAISING
Аннотация: "Fundraising Decoded," helps you throughout the fundraising process, decodes every single step, so that you can make informed decisions. Written by founders for founders. Starts with explaining the process to you, and then goes onto offering practical guidance on how to start the fundraising process, approach investors, pitch your idea, create an impactful pitch deck, create your financial projections, find the valuation of your company, and more. What 12 elements are a “must-have” for the deck Learn how to Pitch the investor in 15 mins? Create financial models on spreadsheets 11 Key Documents/Plans investors will ask What steps to get the money in your bank? “If building a startup is a roller-coaster ride, then fund-raising is a roller coaster in the dark - you don't even know what's coming!” ― Uri Levine, Raising funds is an essential milestone for most Startup founders, and this is often one topic where founders find themselves stuck.
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Nandeshwar, Ashutosh.
    Data Science for Fundraising: Build Data-Driven Solutions Using R / Ashutosh Nandeshwar. - USA : [s. n.], 2018. - 522 p. : il. - ISBN 978-0-692-05784-1 : Б. ц.

Рубрики: Медицина

Кл.слова (ненормированные):
FUNDRAISING
Аннотация: Although the non-profit industry has advanced using CRMs and donor databases, it has not fully explored the data stored in those databases. Meanwhile, the data scientists, in the for-profit industry, using sophisticated tools, have generated data-driven results and effective solutions for several challenges in their organizations.
Доп.точки доступа:
Devine, Rodger

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Bilski, Piotr.
    Computer Systems for Healthcare and Medicine / Piotr Bilski. - USA : River Publishers, 2017. - 261 p. - ISBN 978-87-93519-31-2 : Б. ц.

Рубрики: Медицина

Кл.слова (ненормированные):
HEALTHCARE, MEDICINE
Аннотация: The development of modern civilization leads to us having to solve new problems which did not exist before. The contemporary world faces a great challenge of aging societies, where the increasing number of citizens requires constant medical attention. To ensure safety and wellbeing of elderly people, patients in hospitals and disabled persons, advanced technologies can be implemented. These include both sophisticated data acquisition systems and data processing algorithms, aiming at the constant and discreet monitoring of persons whilst raising alarm if immediate attention is required.Computer Systems for Healthcare and Medicine presents a novel look at the introduced problems, including proposed solutions in the form of automated data acquisition and processing systems, which were tested in various environments. Characteristic features include a wide range of sensors used to monitor the situation of the person, and accurate decision making algorithms, often based on the computational intelligence domain.
Доп.точки доступа:
Guerriero, Francesca

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    Клеточные технологии -практическому здравоохранению 2020 [Текст] : материалы IX межрегиональной научно- практической конференции, 15 декабря 2020г. / ред. С. Л. Леонтьева ; отв. за выпуск С. В. Сазонов. - Екатеринбург : Изд-во Вестник Уральской медицинской академической науки, 2020. - Б. ц.

Рубрики: Медицина

Доп.точки доступа:
Леонтьева, С. Л. \ред.\
Сазонов, С. В. \отв. за выпуск.\

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Шифр: М274714701 ()

Молодой ученый [Текст] : международный научный журнал. - [Б. м. : б. и.]. - ISSN 2072-0297

Рубрики:
Медицина

Зарегистрированы поступления:
2019 

     2019: Том 288, № 50

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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616-078 (075.8)
К 49
Соснин, Д. Ю.
    Клиническая лабораторная диагностика : учебно-методическое пособие / ред. Д. Ю. Соснин, В. В. Базарный . - Пермь : ПГМУ, 2021. - 191 с. - ISBN 978-5-398-02562-0 : Б. ц.

УДК	616-078 (075.8)

Рубрики: Медицина

Кл.слова (ненормированные):
Лабораторная диагностика
Доп.точки доступа:
Базарный , В. В.

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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

Мезен, Н. И.
    Стволовые клетки [Текст] : учебно-методическое пособие / Н. И. Мезен, З. Б. Квачева, Л. М. Сычик. - 2-е изд., доп. - Минск : БГМУ, 2018. - 62 с. - ISBN 978-985-528-982-2 : Б. ц.

Рубрики: Медицина

Доп.точки доступа:
Квачева, З. Б.
Сычик, Л. М.

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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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