Mental Health Clinical Decision Support Exploiting Big Data

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F19%3A00502476" target="_blank" >RIV/67985807:_____/19:00502476 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.4018/978-1-5225-8244-1.ch008" target="_blank" >http://dx.doi.org/10.4018/978-1-5225-8244-1.ch008</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.4018/978-1-5225-8244-1.ch008" target="_blank" >10.4018/978-1-5225-8244-1.ch008</a>

Result language

angličtina

Original language name

Mental Health Clinical Decision Support Exploiting Big Data

Original language description

The complexity of clinical decision-making is immensely increasing with the advent of big data with a clinical relevance. Clinical decision systems represent useful e-health tools applicable to various tasks within the clinical decision-making process. This chapter is devoted to basic principles of clinical decision support systems and their benefits for healthcare and patient safety. Big data is crucial input for clinical decision support systems and is helpful in the task to find the diagnosis, prognosis, and therapy. Statistical challenges of analyzing big data in psychiatry are overviewed, with a particular interest for psychiatry. Various barriers preventing telemedicine tools from expanding to the field of mental health are discussed. The development of decision support systems is claimed here to play a key role in the development of information-based medicine, particularly in psychiatry. Information technology will be ultimately able to combine various information sources including big data to present and enforce a holistic information-based approach to psychiatric care.

Czech name

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Czech description

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Type

C - Chapter in a specialist book

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/GA19-05704S" target="_blank" >GA19-05704S: FoNeCo: Analytical Foundations of Neurocomputing</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2019

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Book/collection name

Computational Methods and Algorithms for Medicine and Optimized Clinical Practice

ISBN

978-1-5225-8244-1

Number of pages of the result

25

Pages from-to

160-184

Number of pages of the book

290

Publisher name

IGI Global

Place of publication

Hershey

UT code for WoS chapter

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