Special issue: Informatics & data-driven medicine

The current state of the development of Medicine today is changing dramatically. Previously, data of the patient's health were collected only during a visit to the clinic. These were small chunks of information obtained from observations or experimental studies by clinicians, and were recorded...

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Autores principales:	Ivan Izonin, Nataliya Shakhovska
Formato:	article
Lenguaje:	EN
Publicado:	AIMS Press 2021
Materias:	informatics data-driven medicine neural networks machine learning iot predictive modeling classification small data approach Biotechnology TP248.13-248.65 Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/37f253805109404a8c457a26b532400a
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spelling	oai:doaj.org-article:37f253805109404a8c457a26b532400a2021-11-11T01:28:21ZSpecial issue: Informatics & data-driven medicine10.3934/mbe.20213191551-0018https://doaj.org/article/37f253805109404a8c457a26b532400a2021-07-01T00:00:00Zhttps://www.aimspress.com/article/doi/10.3934/mbe.2021319?viewType=HTMLhttps://doaj.org/toc/1551-0018The current state of the development of Medicine today is changing dramatically. Previously, data of the patient's health were collected only during a visit to the clinic. These were small chunks of information obtained from observations or experimental studies by clinicians, and were recorded on paper or in small electronic files. The advances in computer power development, hardware and software tools and consequently design an emergence of miniature smart devices for various purposes (flexible electronic devices, medical tattoos, stick-on sensors, biochips etc.) can monitor various vital signs of patients in real time and collect such data comprehensively. There is a steady growth of such technologies in various fields of medicine for disease prevention, diagnosis, and therapy. Due to this, clinicians began to face similar problems as data scientists. They need to perform many different tasks, which are based on a huge amount of data, in some cases with incompleteness and uncertainty and in most others with complex, non-obvious connections between them and different for each individual patient (observation) as well as a lack of time to solve them effectively. These factors significantly decrease the quality of decision making, which usually affects the effectiveness of diagnosis or therapy. That is why the new concept in Medicine, widely known as Data-Driven Medicine, arises nowadays. This approach, which based on IoT and Artificial Intelligence, provide possibilities for efficiently process of the huge amounts of data of various types, stimulates new discoveries and provides the necessary integration and management of such information for enabling precision medical care. Such approach could create a new wave in health care. It will provide effective management of a huge amount of comprehensive information about the patient's condition; will increase the speed of clinician's expertise, and will maintain high accuracy analysis based on digital tools and machine learning. The combined use of different digital devices and artificial intelligence tools will provide an opportunity to deeply understand the disease, boost the accuracy and speed of its detection at early stages and improve the modes of diagnosis. Such invaluable information stimulates new ways to choose patient-oriented preventions and interventions for each individual case.Ivan IzoninNataliya ShakhovskaAIMS Pressarticleinformaticsdata-driven medicineneural networksmachine learningiotpredictive modelingclassificationsmall data approachBiotechnologyTP248.13-248.65MathematicsQA1-939ENMathematical Biosciences and Engineering, Vol 18, Iss 5, Pp 6430-6433 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	informatics data-driven medicine neural networks machine learning iot predictive modeling classification small data approach Biotechnology TP248.13-248.65 Mathematics QA1-939
spellingShingle	informatics data-driven medicine neural networks machine learning iot predictive modeling classification small data approach Biotechnology TP248.13-248.65 Mathematics QA1-939 Ivan Izonin Nataliya Shakhovska Special issue: Informatics & data-driven medicine
description	The current state of the development of Medicine today is changing dramatically. Previously, data of the patient's health were collected only during a visit to the clinic. These were small chunks of information obtained from observations or experimental studies by clinicians, and were recorded on paper or in small electronic files. The advances in computer power development, hardware and software tools and consequently design an emergence of miniature smart devices for various purposes (flexible electronic devices, medical tattoos, stick-on sensors, biochips etc.) can monitor various vital signs of patients in real time and collect such data comprehensively. There is a steady growth of such technologies in various fields of medicine for disease prevention, diagnosis, and therapy. Due to this, clinicians began to face similar problems as data scientists. They need to perform many different tasks, which are based on a huge amount of data, in some cases with incompleteness and uncertainty and in most others with complex, non-obvious connections between them and different for each individual patient (observation) as well as a lack of time to solve them effectively. These factors significantly decrease the quality of decision making, which usually affects the effectiveness of diagnosis or therapy. That is why the new concept in Medicine, widely known as Data-Driven Medicine, arises nowadays. This approach, which based on IoT and Artificial Intelligence, provide possibilities for efficiently process of the huge amounts of data of various types, stimulates new discoveries and provides the necessary integration and management of such information for enabling precision medical care. Such approach could create a new wave in health care. It will provide effective management of a huge amount of comprehensive information about the patient's condition; will increase the speed of clinician's expertise, and will maintain high accuracy analysis based on digital tools and machine learning. The combined use of different digital devices and artificial intelligence tools will provide an opportunity to deeply understand the disease, boost the accuracy and speed of its detection at early stages and improve the modes of diagnosis. Such invaluable information stimulates new ways to choose patient-oriented preventions and interventions for each individual case.
format	article
author	Ivan Izonin Nataliya Shakhovska
author_facet	Ivan Izonin Nataliya Shakhovska
author_sort	Ivan Izonin
title	Special issue: Informatics & data-driven medicine
title_short	Special issue: Informatics & data-driven medicine
title_full	Special issue: Informatics & data-driven medicine
title_fullStr	Special issue: Informatics & data-driven medicine
title_full_unstemmed	Special issue: Informatics & data-driven medicine
title_sort	special issue: informatics & data-driven medicine
publisher	AIMS Press
publishDate	2021
url	https://doaj.org/article/37f253805109404a8c457a26b532400a
work_keys_str_mv	AT ivanizonin specialissueinformaticsdatadrivenmedicine AT nataliyashakhovska specialissueinformaticsdatadrivenmedicine
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Special issue: Informatics & data-driven medicine

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