Comparison of control charts for Poisson count data in health‐care monitoring

2020 ◽  
Author(s):  
Michele Scagliarini ◽  
Nunzia Boccaforno ◽  
Marco Vandi
Keyword(s):  
Health Care ◽  
Count Data ◽  
Control Charts ◽  
Health Care Monitoring ◽  
Poisson Count

Control Charts for Poisson Count Data with Varying Sample Sizes

2010 ◽  
Vol 42 (3) ◽  
pp. 260-275 ◽  
Author(s):  
Anne G. Ryan ◽  
William H. Woodall
Keyword(s):  
Count Data ◽  
Control Charts ◽  
Sample Sizes ◽  
Poisson Count

scholarly journals Risk-Adjusted Control Charts for Health Care Monitoring

2011 ◽  
Vol 2011 ◽  
pp. 1-16 ◽  
Author(s):  
Willem Albers
Keyword(s):  
Health Care ◽  
Risk Adjustment ◽  
Control Charts ◽  
Negative Binomial ◽  
Category Membership ◽  
High Quality ◽  
Attribute Data ◽  
Actual Risk ◽  
Health Care Monitoring ◽  
Risk Categories

Attribute data from high-quality processes can be monitored effectively by deciding on whether or not to stop at each time where failures have occurred. The smaller the degree of change in failure rate during out of control one wants to be optimally protected against, the larger thershould be. Under homogeneity, the distribution involved is negative binomial. However, in health care monitoring, (groups of) patients will often belong to different risk categories. In the present paper, we will show how information about category membership can be used to adjust the basic negative binomial charts to the actual risk incurred. Attention is also devoted to comparing such conditional charts to their unconditional counterparts. The latter do take possible heterogeneity into account but refrain from risk-adjustment. Note that in the risk adjusted case several parameters are involved, which will all be typically unknown. Hence, the potentially considerable estimation effects of the new charts will be investigated as well.

Health Care Monitoring System

2019 ◽  
Vol 7 (9) ◽  
pp. 44-48
Author(s):  
Rahul Pawar ◽  
M.M. Sardeshmukh ◽  
Sagar Shinde
Keyword(s):  
Health Care ◽  
Monitoring System ◽  
Health Care Monitoring

Review on Health Care Monitoring System

2019 ◽  
Vol 7 (6) ◽  
pp. 1114-1117
Author(s):  
Rahul Pawar ◽  
M.M. Sardeshmukh ◽  
Sagar Shinde
Keyword(s):  
Health Care ◽  
Monitoring System ◽  
Health Care Monitoring

scholarly journals All-Fiber Pyro- and Piezo-electric Nanogenerator for IoT Based Self-Powered Health-Care Monitoring

2021 ◽  
Author(s):  
Biswajit Mahanty ◽  
Sujoy Kumar Ghosh ◽  
Kuntal Maity ◽  
KRITTISH ROY ◽  
Subrata Sarkar ◽  
...  
Keyword(s):  
Health Care ◽  
Carbon Nanotube ◽  
Vinylidene Fluoride ◽  
Electrospun Nanofibers ◽  
Multiwall Carbon Nanotube ◽  
Poly Vinylidene Fluoride ◽  
Self Powered ◽  
Health Care Monitoring ◽  
Multiwall Carbon ◽  
Piezo Electric

In this work, an all-fiber pyro- and piezo-electric nanogenerator (PPNG) is designed by multiwall carbon nanotube (MWCNT) doped poly(vinylidene fluoride) (PVDF) electrospun nanofibers as the active layer and interlocked conducting...

scholarly journals Cloud based smart wireless and health care monitoring system

2021 ◽  
Vol 1059 (1) ◽  
pp. 012035
Author(s):  
S Nithya Priya ◽  
M Ranjith Kumar ◽  
N Nibin Sabari Anand
Keyword(s):  
Health Care ◽  
Monitoring System ◽  
Health Care Monitoring
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