Using data mining to predict hospital admissions from the emergency department
Crowding within emergency departments (EDs) can have significant negative
consequences for patients. EDs therefore need to explore the use of innovative methods to …
consequences for patients. EDs therefore need to explore the use of innovative methods to …
[PDF][PDF] Using Data Mining to Predict Hospital Admissions From the Emergency Department
B GRAHAM, R BOND, M QUINN - freeprojectsforall.com
Crowding within emergency departments (EDs) can have significant negative
consequences for patients. EDs therefore need to explore the use of innovative methods to …
consequences for patients. EDs therefore need to explore the use of innovative methods to …
[PDF][PDF] Using Data Mining to Predict Hospital Admissions From the Emergency Department
MRSS BASHA, MRP KAMALAKAR - ijrdst.org
There is a risk that people may suffer serious harm as a result of overcrowding in emergency
departments (EDs). As a result, emergency clinics must explore employing innovative …
departments (EDs). As a result, emergency clinics must explore employing innovative …
Using Data Mining to Predict Hospital Admissions from the Emergency Department
B Graham, R Bond, M Quinn, M Mulvenna - IEEE Access, 2018 - pure.qub.ac.uk
Abstract Crowding within Emergency Departments (EDs) can have significant negative
consequences for patients. EDs therefore need to explore the use of innovative methods to …
consequences for patients. EDs therefore need to explore the use of innovative methods to …
[引用][C] Using Data Mining to Predict Hospital Admissions From the Emergency Department
B Graham, R Bond, M Quinn, M Mulvenna - IEEE Access, 2018 - ui.adsabs.harvard.edu
Using Data Mining to Predict Hospital Admissions From the Emergency Department - NASA/ADS
Now on home page ads icon ads Enable full ADS view NASA/ADS Using Data Mining to …
Now on home page ads icon ads Enable full ADS view NASA/ADS Using Data Mining to …
[DOC][DOC] Using Data Mining to Predict Hospital Admissions From the Emergency Department
B Graham, R Bond, M Quinn, M Mulvenna - pure.ulster.ac.uk
Methods This study uses routinely collected administrative data (120,600 records) from two
major acute hospitals in Northern Ireland to compare contrasting machine learning …
major acute hospitals in Northern Ireland to compare contrasting machine learning …
[PDF][PDF] Using Data Mining to Predict Hospital Admissions From the Emergency Department
MRSS BASHA, MRP KAMALAKAR - ijrdst.org
There is a risk that people may suffer serious harm as a result of overcrowding in emergency
departments (EDs). As a result, emergency clinics must explore employing innovative …
departments (EDs). As a result, emergency clinics must explore employing innovative …
[PDF][PDF] Using Data Mining to Predict Hospital Admissions From the Emergency Department
B GRAHAM, R BOND, M QUINN - researchgate.net
Crowding within emergency departments (EDs) can have significant negative
consequences for patients. EDs therefore need to explore the use of innovative methods to …
consequences for patients. EDs therefore need to explore the use of innovative methods to …
[PDF][PDF] Using Data mining to predict hospital admissions from the emergency department
V Basha, D Shilpa, P Poojitha, C Manaswini… - ijarst.in
Crowding within emergency departments (EDs) can have significant negative
consequences for patients. EDs therefore need to explore the use of innovative methods to …
consequences for patients. EDs therefore need to explore the use of innovative methods to …
[PDF][PDF] Using Data Mining to Predict Hospital Admissions From the Emergency Department
B GRAHAM, R BOND, M QUINN - freeprojectsforall.com
Crowding within emergency departments (EDs) can have significant negative
consequences for patients. EDs therefore need to explore the use of innovative methods to …
consequences for patients. EDs therefore need to explore the use of innovative methods to …