The relationship between service intensity and the quality of health care: an exploratory data analysis

2005 ◽  
Vol 18 (1) ◽  
pp. 41-52 ◽  
Author(s):  
Daniel Friesner ◽  
Robert Rosenman
Keyword(s):  
Health Care ◽  
Data Analysis ◽  
Exploratory Data Analysis ◽  
Important Determinant ◽  
Washington State ◽  
General Definition ◽  
Service Intensity ◽  
Exploratory Data ◽  
The Relationship

This paper provides an empirical check of some assumptions used to define the quality of care in the health services literature. Specifically, we test (i) whether service intensity is the only important determinant of a provider's quality and (ii) whether higher service intensity always causes higher quality. Using a panel of hospitals from Washington State, we find evidence that rejects both of these assumptions. As a result, further work is needed to postulate a more general definition that does not rely on these assumptions.

Assessment of seasonal and polluting effects on the quality of river water by exploratory data analysis

1998 ◽  
Vol 32 (12) ◽  
pp. 3581-3592 ◽  
Author(s):  
Marisol Vega ◽  
Rafael Pardo ◽  
Enrique Barrado ◽  
Luis Debán
Keyword(s):  
Data Analysis ◽  
River Water ◽  
Exploratory Data Analysis ◽  
Exploratory Data

scholarly journals Jaminan dan Peningkatan Kualitas Dosen melalui Program Doktor pada PTKIN di Indonesia

2018 ◽  
Vol 4 (2) ◽  
pp. 27-33
Author(s):  
Lailial Muhtifah ◽  
Sulaiman Sulaiman ◽  
Zaenuddin Zaenuddin
Keyword(s):  
Data Analysis ◽  
Exploratory Data Analysis ◽  
Doctoral Programs ◽  
Doctoral Program ◽  
Quality Standards ◽  
Doctoral Degrees ◽  
Doctoral Graduates ◽  
Standard Quality ◽  
Exploratory Data

This research seeks to outline the importance of guarantees, and improve the quality of lecturers through the 5000 doctoral programs at the State Islamic Religious College (PTKIN) in Indonesia. Lecturers who hold doctoral degrees or who have S3 education qualifications are 2,498 lecturers or 19% percent of 12,819 lecturers. Data comes from the Ministry of Religion in the figures for 2016. Data analysis tools use exploratory data analysis (Exploratory Data Analysis - EDA). The 5000 doctoral program is a standard quality assurance criterion for prospective doctoral program students and quality standards for doctoral graduates.

scholarly journals Exploratory Data Analysis Based on Remote Health Care Monitoring System by Using IoT

2020 ◽  
Vol 8 (1) ◽  
pp. 1
Author(s):  
Su Myat Thaung ◽  
Hla Myo Tun ◽  
Khin Kyu Kyu Win ◽  
Myint Myint Than
Keyword(s):  
Health Care ◽  
Data Analysis ◽  
Monitoring System ◽  
Exploratory Data Analysis ◽  
Exploratory Data ◽  
Health Care Monitoring ◽  
Remote Health

scholarly journals Exploratory Data Analysis for Social Big Data Using Regression and Recurrent Neural Networks

Webology ◽  
2020 ◽  
Vol 17 (2) ◽  
pp. 922-936
Author(s):  
R.S. Aswini ◽  
B. Muruganantham ◽  
S. Ganesh Kumar ◽  
A. Murugan
Keyword(s):  
Data Analysis ◽  
Service Sector ◽  
Exploratory Data Analysis ◽  
Flow Analysis ◽  
Hospital Data ◽  
Large Hospital ◽  
Statistical Tool ◽  
Exploratory Data ◽  
Frame Work ◽  
The Relationship

In general the health care system and hospital takes a major role in the service sector. The clinical treatment successfully increases in the year for the treatment of both the medical and the technical innovations. A sample theoretical challenge exists in the patient flow analysis for real data. An existing method target on the audience and less concentration on the secondary statistical analysis, where the data obtain from the hospital not suitable for the analysis. So this limitation can overcome using the Exploratory Data Analysis (EDA), which helps in analysis of the patients flow in large hospital. The proposed frame work uses a machine learning method for the data classification processes. The feature extraction processes for the patient data applied for the larger hospital dataset and the individual hospital data. Some similar features are allowed to train over the Recurrent Neural Network (RNN) classifier for data modeling using the large hospital dataset. The output of the classifier has the specific details about the patients taken for the EDA method. The linear regression algorithm be the one kind of statistical tool for predicting the relationship between the variables. The proposed frame work is implemented using Mat lab R2014a software and the results were simulated. The relationship between the patient details and hospital information shows the status of the hospital as healthy and un healthy status.

Graphical Exploratory Data Analysis for Categorical Longitudinal and Time Series Data

2013 ◽  
Author(s):  
Stephen J. Tueller ◽  
Richard A. Van Dorn ◽  
Georgiy Bobashev ◽  
Barry Eggleston
Keyword(s):  
Time Series ◽  
Data Analysis ◽  
Exploratory Data Analysis ◽  
Time Series Data ◽  
Series Data ◽  
Exploratory Data

Covid-19 Cases in India: A Visual Exploratory Data Analysis Model (Preprint)

2020 ◽  
Author(s):  
Jayesh S
Keyword(s):  
Data Analysis ◽  
Exploratory Data Analysis ◽  
Case Fatality ◽  
Public Health Emergency ◽  
Virus Spread ◽  
Analysis Model ◽  
Case Fatality Ratio ◽  
First Case ◽  
Exploratory Data ◽  
The Government

UNSTRUCTURED Covid-19 outbreak was first reported in Wuhan, China. The deadly virus spread not just the disease, but fear around the globe. On January 2020, WHO declared COVID-19 as a Public Health Emergency of International Concern (PHEIC). First case of Covid-19 in India was reported on January 30, 2020. By the time, India was prepared in fighting against the virus. India has taken various measures to tackle the situation. In this paper, an exploratory data analysis of Covid-19 cases in India is carried out. Data namely number of cases, testing done, Case Fatality ratio, Number of deaths, change in visits stringency index and measures taken by the government is used for modelling and visual exploratory data analysis.

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