Accuracies of Computer versus Manual Linkages of Routine Health Records

1979 ◽  
Vol 18 (02) ◽  
pp. 89-97 ◽  
Author(s):  
Martha E. Smith ◽  
H. B. Newcombe
Keyword(s):  
Success Rate ◽  
Record Linkage ◽  
Central Processor ◽  
Processor Time ◽  
Health Records ◽  
Factors Affecting ◽  
Linkage Methods ◽  
Empirical Tests ◽  
Speed Accuracy ◽  
Computer Operation

Empirical tests of the application of computer record linkage methods versus the use of routine clerical searching, for bringing together various vital and ill-health records, have shown that the success rate for the computer operation was higher (98.3 versus 96.7 per cent) and the proportion of false linkages very much lower (0.1 versus 2.3 per cent). The rate at which the ill-health records were processed by the computer was approximately 14,000 per minute of central processor time, representing a cost of a half a cent apiece.Factors affecting the speed, accuracy and cost of computerized record linkage are discussed.

Application of Automated FIB for TEM Sample Preparation in Semiconductor Failure Analysis

2014 ◽  
Author(s):  
Jie Zhu ◽  
Soo Sien Seah ◽  
Irene Tee ◽  
Bing Hai Liu ◽  
Eddie Er ◽  
...  
Keyword(s):  
Sample Preparation ◽  
Success Rate ◽  
Protective Layer ◽  
Factors Affecting ◽  
Dual Beam ◽  
Lamella Thickness ◽  
Surface Patterns ◽  
Working Parameters ◽  
Practical Factors ◽  
High Flexibility

Abstract In this paper, we describe automated FIB for TEM sample preparation using iFast software on a Helios 450HP dual-beam system. A robust iFast automation recipe needs to consider as many variables as possible in order to ensure consistent sample quality and high success rate. Variations mainly come from samples of different materials, structures, surface patterns, surface topography and surface charging. The recipe also needs to be user-friendly and provide high flexibility by allowing users to choose preferable working parameters for specific types of samples, such as: grounding, protective layer coating, milling steps, and final TEM lamella thickness/width. In addition to the iFast recipe, other practical factors affecting automation success rate are also discussed and highlighted.

scholarly journals Surgical outcomes of acute acquired comitant esotropia of adulthood

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Dae Hyun Kim ◽  
Ha Jeong Noh
Keyword(s):  
Success Rate ◽  
Surgical Outcomes ◽  
Medical Records ◽  
Large Angle ◽  
Sudden Onset ◽  
Prism Diopter ◽  
Factors Affecting ◽  
The Mean ◽  
Motor Outcomes

Abstract Background Acute acquired comitant esotropia (AACE) is a type of strabismus characterized by a sudden onset of large angle esotropia with diplopia, which often occurs in children after infancy, teenagers, and young adolescents. However, studies on the surgical outcomes of only adults are rare. The purpose of this article is to analyze the surgical outcomes for adult patients diagnosed with AACE. Methods Medical records of 24 patients who had undergone surgery for AACE were retrospectively analyzed. The main outcome measures were the final motor and sensory success rate after surgery and factors affecting motor and sensory outcomes. Motor success was considered alignment within 8 prism diopter (PD) at both near and distance and sensory success was stereoacuity ≥ 60 sec/arc. Results The preoperative mean esodeviation angles were 33.1 ± 10.4 PD at distance and 33.3 ± 11.2 PD at near. The mean period of postoperative follow up was 7.5 ± 4.5 months (range 1–8 months). The postoperative mean esodeviation angles at final follow-up time were 3.4 ± 6.1 PD at distance and 3.8 ± 6.7 PD at near. The surgical motor success rate at final follow-up was 79.2% (19/24). The sensory success rate at final follow-up was 50.0% (12/24). The factor affecting the motor outcome was the type of surgery (p < 0.05). The factor affecting sensory outcome was postoperative follow-up time (p < 0.05). Conclusions Surgery type appears to affect surgical motor outcomes in adults with AACE. Although the sensory outcome was favorable, it seems that regaining bifoveal fixation takes time.

scholarly journals The factors affecting surgical success rate for the patients with congenital esotropia

2015 ◽  
Vol 1 (2) ◽  
pp. 33
Author(s):  
Tuğba Göncü ◽  
Funda Dilmen ◽  
Ali Akal ◽  
Fatih Mehmet Adıbelli ◽  
Sevim Çakmak
Keyword(s):  
Success Rate ◽  
Factors Affecting ◽  
Surgical Success ◽  
Congenital Esotropia

Factors associated with perforator stroke after selective basilar artery angioplasty or stenting

2016 ◽  
Vol 9 (8) ◽  
pp. 738-742 ◽  
Author(s):  
Baixue Jia ◽  
David S Liebeskind ◽  
Ning Ma ◽  
Feng Gao ◽  
Dapeng Mo ◽  
...  
Keyword(s):  
Basilar Artery ◽  
Demographic Data ◽  
Imaging Data ◽  
Health Records ◽  
Factors Affecting ◽  
Factors Associated ◽  
Multicenter Trials ◽  
Atherosclerotic Stenosis ◽  
Single Center Study ◽  
Correlated Factors

Background and purposePerforator stroke is one of the most common complications of elective intracranial angioplasty and/or stenting, particularly in the basilar artery. Factors associated with the risk of post-procedural perforator stroke remain unexplored. We investigated factors affecting the risk of perforator stroke after basilar artery angioplasty and/or stenting.Materials and methodsConsecutive patients undergoing basilar artery angioplasty and/or stenting due to symptomatic atherosclerotic stenosis were retrospectively included in this single-center study. Analyzed variables including demographic data, risk factors of atherosclerosis, symptoms, characteristics of imaging, and procedure factors were extracted from electronic health records or imaging data. The main outcome was perforator stroke associated with the procedure. Multivariate analysis that correlated factors with the occurrence of perforator stroke in these patients was performed.ResultsA total of 255 patients were included in the study. Perforator stroke associated with angioplasty and/or stenting was identified in 13 patients (5.1%). Variables with significant correlation with post-procedural perforator stroke included diabetes (OR 6.496; 95% CI 1.741 to 24.241; p=0.005), time from last symptom to procedure <18 days (OR 5.669; 95% CI 1.174 to 27.371; p=0.031), and pre-procedure stenosis percentage <88.4% (OR 5.882; 95% CI 1.465 to 23.608; p=0.012).ConclusionsDiabetes, time from last symptom to procedure, and pre-procedure stenosis percentage may be factors affecting the risk of perforator stroke associated with basilar artery angioplasty and/or stenting. These factors should be considered in planning of potential basilar artery angioplasty and/or stenting and prospectively evaluated in future multicenter trials.

scholarly journals A Note on the Factors Affecting Corn Basis Relationships

1991 ◽  
Vol 23 (1) ◽  
pp. 147-153 ◽  
Author(s):  
Gopal Naik ◽  
Raymond M. Leuthold
Keyword(s):  
General Theory ◽  
Risk Premium ◽  
Factors Affecting ◽  
Empirical Tests ◽  
Price Relationships ◽  
The U.S

AbstractEmpirical tests were made of components of the corn basis in the U.S. utilizing a general theory of intertemporal price relationships for storable commodities. These tests showed that the basis consists of a risk premium, a speculative component, and a maturity basis apart from other factors such as storage costs for storable commodities. The results provide insights into factors affecting basis patterns for corn.

Deterministic Linkage as a Preceding Filter for Other Record Linkage Methods

2015 ◽  
Vol 14 (03) ◽  
pp. 521-533
Author(s):  
M. Sariyar ◽  
A. Borg
Keyword(s):  
Record Linkage ◽  
Classification Tree ◽  
Real Data ◽  
Training Data ◽  
Data Sets ◽  
Empirical Comparison ◽  
Linkage Methods ◽  
Data Pair ◽  
Tree Methods ◽  
Almost All

Deterministic record linkage (RL) is frequently regarded as a rival to more sophisticated strategies like probabilistic RL. We investigate the effect of combining deterministic linkage with other linkage techniques. For this task, we use a simple deterministic linkage strategy as a preceding filter: a data pair is classified as ‘match' if all values of attributes considered agree exactly, otherwise as ‘nonmatch'. This strategy is separately combined with two probabilistic RL methods based on the Fellegi–Sunter model and with two classification tree methods (CART and Bagging). An empirical comparison was conducted on two real data sets. We used four different partitions into training data and test data to increase the validity of the results. In almost all cases, application of deterministic linkage as a preceding filter leads to better results compared to the omission of such a pre-filter, and overall classification trees exhibited best results. On all data sets, probabilistic RL only profited from deterministic linkage when the underlying probabilities were estimated before applying deterministic linkage. When using a pre-filter for subtracting definite cases, the underlying population of data pairs changes. It is crucial to take this into account for model-based probabilistic RL.

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