scholarly journals A systematic approach to statistical analysis in dosimetry and patient-specific IMRT plan verification measurements

2013 ◽  
Vol 8 (1) ◽  
pp. 225 ◽  
Author(s):  
Songbing Qin ◽  
Miao Zhang ◽  
Sung Kim ◽  
Ting Chen ◽  
Leonard H Kim ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Systematic Approach ◽  
Patient Specific ◽  
Imrt Plan

SU-E-T-44: A Systematic Approach to Statistical Analysis in Dosimetry and Patient Specific IMRT Plan Verification Measurements

2012 ◽  
Vol 39 (6Part10) ◽  
pp. 3712-3712
Author(s):  
S Qin ◽  
M Zhang ◽  
S Kim ◽  
T Chen ◽  
L Kim ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Systematic Approach ◽  
Patient Specific ◽  
Imrt Plan

SU-GG-T-141: The Statistical Analysis of Patient Specific DQA Plans of IMRT

2008 ◽  
Vol 35 (6Part11) ◽  
pp. 2758-2758
Author(s):  
J Chung ◽  
J Park ◽  
Y Park ◽  
H Kim ◽  
C Choi ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Patient Specific

STATISTICAL ANALYSIS FOR RUPTURE RISK PREDICTION OF ABDOMINAL AORTIC ANEURYSMS (AAA) BASED ON ITS MORPHOMETRY

2017 ◽  
Vol 17 (04) ◽  
pp. 1750065 ◽  
Author(s):  
VILALTA-ALONSO GUILLERMO ◽  
VILALTA-ALONSO JOSÉ ALBERTO ◽  
SOUDAH EDUARDO ◽  
NIETO-PALOMO FÉLIX ◽  
LIPSA LAUTENTIU ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Temporal Distribution ◽  
Abdominal Aortic Aneurysms ◽  
Aortic Aneurysms ◽  
Patient Specific ◽  
Statistical Techniques ◽  
Rupture Risk ◽  
Linear Predictor ◽  
Abdominal Aortic ◽  
Hemodynamic Stresses

The morphometry of the abdominal aortic aneurysms (AAA) has been recognized as one of the main factors that may predispose its rupture. The variation of the AAA morphometry, over time, induces modifications in hemodynamic behavior which, in turn, alters the spatial and temporal distribution of hemodynamic stress on the aneurismatic wall, establishing a bidirectional process that can influence the rupture phenomenon. In order to evaluate potential correlations between the main geometric parameters characterizing the AAA and hemodynamic stresses, 13 unrupture AAA patient-specific models were created. To AAA geometric characterization, 12 indices based on lumen center line were defined and determined. The computing of temporal and spatial distributions of hemodynamic stresses was conducted through Computational Fluid Dynamics. Statistical techniques were used to assess the relationships between the hemodynamic parameters and the different geometrical indices of the AAA. Regression analyses were conducted to obtain linear predictor models for hemodynamic stresses using the different indices defined in this paper as predictor variables. The statistical analysis confirmed that the length L, the asymmetry and the saccular index significantly influenced the hemodynamic stresses. The results obtained show the potential of the use of statistical techniques in predicting the rupture risk of patient-specific AAA.

Identifying and Communicating Clinically Meaningful Drug–Drug Interactions

2014 ◽  
Vol 29 (2) ◽  
pp. 110-115 ◽  
Author(s):  
Scott D. Nelson ◽  
Joanne LaFleur ◽  
Emily Hunter ◽  
Melissa Archer ◽  
Carin Steinvoort ◽  
...  
Keyword(s):  
Drug Therapy ◽  
Drug Interactions ◽  
Sleep Disorders ◽  
Systematic Approach ◽  
Pharmacy Practice ◽  
Drug Regimen ◽  
Patient Specific ◽  
Multiple Drug ◽  
Medical Problems ◽  
Multiple Drug Therapy

Objective: Providing care to patients with comorbid medical problems may result in complicated, multiple drug therapy regimens, increasing the risk of clinically meaningful drug–drug interactions (DDIs). The purpose of this article is to describe the prevalence of DDIs and provide examples on how to identify and intervene on DDIs. Methods: We described DDI data from the Utah Drug Regimen Review Center, where adult Medicaid patients were reviewed by pharmacists from 2005 to 2009. Patients were selected by the number of prescriptions filled per month (>7) or having a high RxRisk score. Summary: A total of 8860 patients were reviewed, and 16.6% had at least 1 clinically meaningful DDI. Patients with DDIs were slightly younger (mean age 45.2 vs 48.2), more likely to be female (75.0% vs 68.9%), and had more prescriptions per month (13.4 vs 12.5) compared to patients without ( P < .001). Pharmacodynamic DDIs were more prevalent (80.2%) than pharmacokinetic. Pharmacodynamic DDIs mainly occurred with drugs used to treat psychiatric/seizure/sleep disorders (69.4%) and pain/migraine (56.6%). Pharmacokinetic DDIs mainly occurred with drugs used to treat psychiatric/seizure/sleep disorders (53.2%), cardiovascular diseases (46.3%), and infectious diseases (29.6%). Conclusions: Clinically meaningful DDIs are common in patients with complex medication regimens. A systematic approach for identifying DDIs, determining clinical significance, formulating patient-specific recommendations, and communicating recommendations is important in pharmacy practice.

A Two Level DEA in Project Based Organizations

2012 ◽  
Vol 488-489 ◽  
pp. 1157-1162
Author(s):  
Mehrdad Hamidi Hedayat ◽  
Ehsan Saghehei ◽  
Yazdan Khoshjahan
Keyword(s):  
Life Cycle ◽  
Statistical Analysis ◽  
Systematic Approach ◽  
Data Envelopment ◽  
Fuzzy Data ◽  
Dea Model ◽  
Fuzzy Data Envelopment Analysis ◽  
Project Life Cycle ◽  
Project Life ◽  
Exact Amount

This paper presents a systematic approach for evaluating the performance of a project based organization. We applied a two level fuzzy Data Envelopment Analysis (DEA) technique in project based organizations. In order to determine the required inputs and outputs, important indicators have selected using both expert judgments and statistical analysis. Then the two-level DEA model is successfully adapted. In this model by considering the outputs through a hierarchical process, a large number of sub indicators have provided and then rolled up to the higher level. Since the exact amount cannot be attributed to the indicators and they includes interval of values during the project life cycle, the interval DEA model will be discussed as a model help to determine the most preferred solution. At the end, some of the projects have been successfully evaluated throughout the approach proposed in this paper.

Assessment of the Creative Component of Human Capital Formation: Model Approach

2020 ◽  
Vol 8 (4) ◽  
pp. 33-39
Author(s):  
Syergyey Logvinov
Keyword(s):  
Neural Networks ◽  
Human Capital ◽  
Artificial Neural Networks ◽  
Statistical Analysis ◽  
Systematic Approach ◽  
Capital Formation ◽  
Human Capital Formation ◽  
Formation Model ◽  
Knowledge And Skills ◽  
Model Approach

The method of assessing the features of competence formation based on various knowledge and skills based on a systematic approach and the use of multidimensional statistical analysis using artificial neural networks is considered. As an example of competence formation, the results of training of a group of students studying in two training profiles "Economics" and "Technology" (the direction of pedagogical education) are considered.

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