scholarly journals Classification of Existing Health Model of India at the End of the Twelfth Plan using Enhanced Decision Tree Algorithm

2021 ◽  
Vol 29 (4) ◽  
Author(s):  
Ashok Kumar ◽  
Arun Lal Srivastav ◽  
Ishwar Dutt ◽  
Karan Bajaj

The high rate of urbanisation has increased the need for state-of-art health models that can meet the growing needs of society during any pandemic. Information-theoretic algorithms based on decision tree can mine the data to establish standards for the final decision by classifying the related data. Classification is an effective tool to analyse the existing health system in India’s states and union territories. For this purpose, the data is categorised and then treated with the enhanced Shannon Entropy-based C4.5 decision tree algorithm to set some rules. These rules are capable of finding the major gaps in the health care systems after the analysis. Supposedly, these gaps are taken care of properly in the affected regions. In that case, the health care models will accomplish the endeavouring Sustainable Development Goals.

2019 ◽  
Vol 6 (2) ◽  
pp. 319-330
Author(s):  
Irina Kinash ◽  
Liliia Savchuk

The manuscript focuses on researching and generalizing the experiences of the economic provision of existing foreign health care models. Under the economic regulation of health, the authors of the work understand the components, which combine financial, material, and human resources. The article presents a comparative analysis of economic support for the health systems of different countries. The study covers the period from 2007 to 2016. Indicators used are derived from the databases of the Organization for Economic Cooperation and Development (OECD) on health. A content analysis of scientific literature and Internet resources, databases of international organizations, which contain data on the economic provision of health care systems of different countries, was conducted. Bibliosemantic, comparative, and analytical methods are used.


2019 ◽  
Vol 13 (1) ◽  
pp. 48-54
Author(s):  
Piotr Rajfur

Health care is a fundamental element of each country’s social policy. It is mainly organised and implemented through the adoption of a certain political framework (defined objectives and priorities), strategic and operational management (planning, organising, motivating and controlling), and generation of resources (e.g. defined activities of collection and distribution of financial resources, training of medical professionals, and the purchase of technology and pharmaceuticals). These principles are either formulated on the basis of already functioning health care models or bespoke models are being created. An important element of a given model is to define its mission (the reasons for its creation and operation), while such elements as the functions, objectives, resources and methods of operation attribute to its individual properties and values. Health care systems may be organised differently. Their main distinguishing features are the ownership (public, private or mixed), sources of financing (public, private or mixed) and management (centralised, dispersed), or they can be structured with regard to political aspects (single-centric, multi-centric and pluralistic). This article, based on the latest scientific developments, presents the historical outline of the selected models for health care systems and the new concepts regarding their classification. The article also offers theoretical analyses of those health systems, which have become the models for others. The aim of this article is to present the classification and the characteristics of the selected models for health care systems, both from the historical perspective and the perspective of those currently in operation. The documents analysis method was used, which included the leading positions in the Polish and foreign literature, in the field of the issues addressed, as well as the literature published by the related institutions. This topic is already being discussed within the literature of the subject, nevertheless it is still relevant and, due to its undeniable importance, deserves further examination because it directly or indirectly concerns every human being.


2014 ◽  
Vol 539 ◽  
pp. 365-368
Author(s):  
Dong Lan Zou

Intelligent Medical Systems currently has been used in most advanced hospitals worldwide, and most of theses systems have the function module of guiding-patient-diagnosis, which makes the patient use this feature to get a preliminary treatment opinion based on their patients condition. In this paper, the way of enhancing the effect of guiding-patient-diagnosis with boosting decision tree algorithm is researched, and the paper describes the specific applying process of the algorithm. Finally, boosting decision tree algorithm prove to improve the efficiency of intelligent guiding function, making intelligent guiding diagnosis function accurate and reliable, which save the health care resources and the time of doctors and patients.


2017 ◽  
Vol 25 (1) ◽  
pp. 96-106 ◽  
Author(s):  
Markus Harz

In health care, a trend may be noted to fundamentally question some of today’s assumptions about the traditional roles of medical disciplines, the doctor–patient relationship, the feasibility of medical studies, and about the role of computers as an aid or replacement of doctors. Diagnostics and therapy decision-making become more complex, and no end is in sight. Amounts of health-related data are being collected individually, and through the health care systems. On the example of breast cancer care, technological advances and societal changes can be observed as they take place concurrently, and patterns and hypotheses emerge that will be the focus of this article. In particular, three key changes are to be considered: (1) the growing appreciation of the uniqueness of diseases and the impact of this notion on the future of evidence-based medicine; (2) the acknowledgment of a ‘big data’ problem in today’s medical practice and science, and the role of computers; and (3) the societal demand for ‘P4 medicine’ (predictive, preventive, participatory, personalized), and its impact on the roles of doctors and patients.


2004 ◽  
Vol 171 (4S) ◽  
pp. 42-43 ◽  
Author(s):  
Yair Latan ◽  
David M. Wilhelm ◽  
David A. Duchene ◽  
Margaret S. Pearle

2008 ◽  
Vol 41 (17) ◽  
pp. 46-47
Author(s):  
JANE M. ANDERSON

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