Building a prediction model for surgical patients of pressure ulcer based on Data Mining and clinical application

2.50
Hdl Handle:
http://hdl.handle.net/10755/150708
Type:
Presentation
Title:
Building a prediction model for surgical patients of pressure ulcer based on Data Mining and clinical application
Abstract:
Building a prediction model for surgical patients of pressure ulcer based on Data Mining and clinical application
Conference Sponsor:Sigma Theta Tau International
Conference Year:2007
Author:Wang, Wei-Fang, RN, MSN
P.I. Institution Name:National Cheng Kung University Hospital
Co-Authors:Chung-Feng Yang, BS and Vincent S. Tseng, PhD
[Research Presentation] The operation patients have to fixed position during the whole operation procedure. Because of the medical and personal factors, surgical patients are high risk group of pressure ulcer. The pressure ulcer incidence rose recently (0.61%), the third season of occurred pressure ulcer of patients was 2.8 times of the first season. Though the operation room carried out multiple measures of improving, incidence went rising instead of falling. The figures showed that reasonable operation time also increased 1.77% relatively. Prevention pressure ulcer equipments have been purchased but still not enough to go around. Patients had to buy artificial skin and other protection materials, because the health insurance does not offer those in Taiwan. It need a scientific data to be a consult indicator for solving the problems. This research intended to build a prediction model based on Data Mining method. Predicting result could keep medical resource make the most effective distribution. It provided patients and families with appropriate suggestion and reduce the pressure ulcer incidence rate of operation patients. Data collection was used by Operation Patient Pressure Ulcer Assessment Scale. The scale included the demographic data, and perioperative nursing assessment. Up to now there were 1359 event patient data. The performance of data mining was the decision tree (J48). The initial result found leaves number: 9, tree size: 13. The pressure sore risk factors were: 1. patients without artificial skin material and operation time over 6 hours, 2.patients with artificial skin material and poor circulation condition (edema). The correctly Classified Instances was 64.9 %. The study is on going now. Final outcome will apply to design prevention surgical patient pressure ulcer protocol, in order to improve perioperative care quality.
Repository Posting Date:
26-Oct-2011
Date of Publication:
17-Oct-2011
Sponsors:
Sigma Theta Tau International

Full metadata record

DC FieldValue Language
dc.typePresentationen_GB
dc.titleBuilding a prediction model for surgical patients of pressure ulcer based on Data Mining and clinical applicationen_GB
dc.identifier.urihttp://hdl.handle.net/10755/150708-
dc.description.abstract<table><tr><td colspan="2" class="item-title">Building a prediction model for surgical patients of pressure ulcer based on Data Mining and clinical application</td></tr><tr class="item-sponsor"><td class="label">Conference Sponsor:</td><td class="value">Sigma Theta Tau International</td></tr><tr class="item-year"><td class="label">Conference Year:</td><td class="value">2007</td></tr><tr class="item-author"><td class="label">Author:</td><td class="value">Wang, Wei-Fang, RN, MSN</td></tr><tr class="item-institute"><td class="label">P.I. Institution Name:</td><td class="value">National Cheng Kung University Hospital</td></tr><tr class="item-email"><td class="label">Email:</td><td class="value">820hosp@gmail.com</td></tr><tr class="item-co-authors"><td class="label">Co-Authors:</td><td class="value">Chung-Feng Yang, BS and Vincent S. Tseng, PhD</td></tr><tr><td colspan="2" class="item-abstract">[Research Presentation] The operation patients have to fixed position during the whole operation procedure. Because of the medical and personal factors, surgical patients are high risk group of pressure ulcer. The pressure ulcer incidence rose recently (0.61%), the third season of occurred pressure ulcer of patients was 2.8 times of the first season. Though the operation room carried out multiple measures of improving, incidence went rising instead of falling. The figures showed that reasonable operation time also increased 1.77% relatively. Prevention pressure ulcer equipments have been purchased but still not enough to go around. Patients had to buy artificial skin and other protection materials, because the health insurance does not offer those in Taiwan. It need a scientific data to be a consult indicator for solving the problems. This research intended to build a prediction model based on Data Mining method. Predicting result could keep medical resource make the most effective distribution. It provided patients and families with appropriate suggestion and reduce the pressure ulcer incidence rate of operation patients. Data collection was used by Operation Patient Pressure Ulcer Assessment Scale. The scale included the demographic data, and perioperative nursing assessment. Up to now there were 1359 event patient data. The performance of data mining was the decision tree (J48). The initial result found leaves number: 9, tree size: 13. The pressure sore risk factors were: 1. patients without artificial skin material and operation time over 6 hours, 2.patients with artificial skin material and poor circulation condition (edema). The correctly Classified Instances was 64.9 %. The study is on going now. Final outcome will apply to design prevention surgical patient pressure ulcer protocol, in order to improve perioperative care quality.</td></tr></table>en_GB
dc.date.available2011-10-26T10:40:41Z-
dc.date.issued2011-10-17en_GB
dc.date.accessioned2011-10-26T10:40:41Z-
dc.description.sponsorshipSigma Theta Tau Internationalen_GB
All Items in this repository are protected by copyright, with all rights reserved, unless otherwise indicated.