Using machine‐learning methods to support health‐care professionals in making admission decisions

2019 ◽  
Vol 34 (2) ◽  
Author(s):  
Li Luo ◽  
Jialing Li ◽  
Chuang Liu ◽  
Wenwu Shen
Keyword(s):  
Machine Learning ◽  
Health Care ◽  
Health Care Professionals ◽  
Learning Methods ◽  
Machine Learning Methods ◽  
Admission Decisions

Using of data science in healthcare

2021 ◽  
pp. 149-156
Author(s):  
Ihor Ponomarenko ◽  
Oleksandra Lubkovska
Keyword(s):  
Machine Learning ◽  
Health Care ◽  
Business Intelligence ◽  
Data Science ◽  
Large Data ◽  
Science Methods ◽  
Medical Field ◽  
Learning Methods ◽  
Machine Learning Methods ◽  
Using Data

The subject of the research is the approach to the possibility of using data science methods in the field of health care for integrated data processing and analysis in order to optimize economic and specialized processes The purpose of writing this article is to address issues related to the specifics of the use of Data Science methods in the field of health care on the basis of comprehensive information obtained from various sources. Methodology. The research methodology is system-structural and comparative analyzes (to study the application of BI-systems in the process of working with large data sets); monograph (the study of various software solutions in the market of business intelligence); economic analysis (when assessing the possibility of using business intelligence systems to strengthen the competitive position of companies). The scientific novelty the main sources of data on key processes in the medical field. Examples of innovative methods of collecting information in the field of health care, which are becoming widespread in the context of digitalization, are presented. The main sources of data in the field of health care used in Data Science are revealed. The specifics of the application of machine learning methods in the field of health care in the conditions of increasing competition between market participants and increasing demand for relevant products from the population are presented. Conclusions. The intensification of the integration of Data Science in the medical field is due to the increase of digitized data (statistics, textual informa- tion, visualizations, etc.). Through the use of machine learning methods, doctors and other health professionals have new opportunities to improve the efficiency of the health care system as a whole. Key words: Data science, efficiency, information, machine learning, medicine, Python, healthcare.

scholarly journals A Health Care Platform Design: Applying Novel Machine Learning Methods to Predict Chronic Cardiac Disease

2020 ◽  
Author(s):  
Chien-Hsiang Chang ◽  
◽  
You-Hsun Wu ◽  
Chih-Chun Yang ◽  
Meng-Ting Wu ◽  
...  
Keyword(s):  
Machine Learning ◽  
Health Care ◽  
Cardiac Disease ◽  
Learning Methods ◽  
Platform Design ◽  
Machine Learning Methods

Application of machine learning methods for automatic interpretation of open hole logging data

2020 ◽  
pp. 44-47
Author(s):  
M.A. Basyrov ◽  
◽  
A.V. Akinshin ◽  
I.R. Makhmutov ◽  
Yu.D. Kantemirov ◽  
...  
Keyword(s):  
Machine Learning ◽  
Learning Methods ◽  
Machine Learning Methods ◽  
Automatic Interpretation ◽  
Open Hole
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