scholarly journals Usage of Model Driven Environment for the Classification of ECG features: A Systematic Review

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 23120-23136 ◽  
Author(s):  
Uzair Iqbal ◽  
Teh Ying Wah ◽  
Muhammad Habib Ur Rehman ◽  
Qurat-Ul-Ain Mastoi
Keyword(s):  
Systematic Review ◽  
Model Driven

Prognostic value of the seventh AJCC/UICC TNM classification of intestinal-type ethmoid adenocarcinoma: Systematic review and risk prediction model

Head & Neck ◽  
2017 ◽  
Vol 39 (4) ◽  
pp. 668-678 ◽  
Author(s):  
Domitille Fiaux-Camous ◽  
Sylvie Chevret ◽  
Natalie Oker ◽  
Mario Turri-Zanoni ◽  
Davide Lombardi ◽  
...  
Keyword(s):  
Systematic Review ◽  
Prediction Model ◽  
Risk Prediction ◽  
Prognostic Value ◽  
Tnm Classification ◽  
Risk Prediction Model ◽  
Intestinal Type

Sporadic Schwannomatosis: A Systematic Review Following the 2005 Consensus Statement

2018 ◽  
Vol 79 (05) ◽  
pp. 408-415 ◽  
Author(s):  
Jan Victor ◽  
Thibault Poujade ◽  
Nadine Hollevoet ◽  
Gregoire Chick
Keyword(s):  
Systematic Review ◽  
Consensus Statement ◽  
Case Reports ◽  
Case Series ◽  
Spinal Tumors ◽  
The Mean ◽  
Tumor Distribution ◽  
Key Aspects ◽  
Number Of Individuals

Aims To identify the frequency of reports of sporadic schwannomatosis, the types of patients affected, and the nerves affected. Patients and Methods We identified all case reports and case series that reported on patients with sporadic schwannomatosis according to established criteria. Results The initial search yielded 1,597 studies, of which 15 were included. A total of 38 of 55 individuals met the inclusion criteria. The mean age of the patients was 48 years; 41% were male. Thirty-three patients had peripheral nerve tumors, and 17 had spinal tumors. Twelve had tumors in both locations. Tumor distribution was unilateral in 25 of 30 cases (83.3%) and segmental (limited to one limb or five or fewer contiguous segments of the spine) in 28 of 38 cases (73.7%). Conclusion This systematic review quantified the number of individuals who meet the criteria for sporadic schwannomatosis and better described this population to facilitate the classification of neurofibromatosis in regard to the 2005 consensus statement. Unilateral or segmental distribution of nerve tumors are key aspects when dealing with multiple noncutaneous schwannomas without involvement of the vestibular nerve.

scholarly journals Application of Three Dimensional Geometric Morphometric Analysis for Sexual Dimorphism of Human Skull: A Systematic Review

2020 ◽  
Vol 18 (1) ◽  
Author(s):  
Abdelnasser Ibrahim ◽  
Aspalilah Alias ◽  
Mohamed Swarhib Shafie ◽  
Faridah Mohd Nor
Keyword(s):  
Systematic Review ◽  
Sexual Dimorphism ◽  
Morphometric Analysis ◽  
Meta Analysis ◽  
Positive Contribution ◽  
Inclusion Criteria ◽  
Geometric Morphometric ◽  
Human Skull ◽  
Geometric Morphometric Analysis

The present systematic review explores the most sexually dimorphic parameters by using geometric morphometric analysis of human skull. An extended search was conducted in Google Scholars and PubMed (published between 2005 and 2017). The main inclusion criteria were research articles published in English, and studies that used geometric morphometric analysis for classification of human skull. The literature search identified 54 potential relevant articles whereby, five had met the inclusion criteria. Most studies reported positive contribution of geometric morphometric as an alternative and accurate tool for classification of unknown human crania. Geometric morphometric method resulted in a high classification accuracy of sexual dimorphism among different populations. Further studies are required to approach the best method used for varied types of postcranial bones equipped with a more advanced meta-analysis of the results.

An Efficient Algorithm for Automating Classification of Chemical Reactions into Classes in Ugi’s Reaction Scheme

2013 ◽  
pp. 285-296
Author(s):  
Sanjay Ram ◽  
Somnath Pal
Keyword(s):  
Chemical Reactions ◽  
Efficient Algorithm ◽  
Time Complexity ◽  
Symmetric Matrix ◽  
Reaction Scheme ◽  
Space Complexity ◽  
Average Case ◽  
Model Driven ◽  
Reaction Matrix

There are two approaches for classification of chemical reactions: Model-Driven and Data-Driven. In this paper, the authors develop an efficient algorithm based on a model-driven approach developed by Ugi and co-workers for classification of chemical reactions. The authors’ algorithm takes reaction matrix of a chemical reaction as input and generates its appropriate class as output. Reaction matrices being symmetric, matrix implementation of Ugi’s scheme using upper/lower tri-angular matrix is of O(n2) in terms of space complexity. Time complexity of similar matrix implementation is O(n4), both in worst case as well as in average case. The proposed algorithm uses two fixed size look-up tables in a novel way and requires constant space complexity. Time complexity both in worst and average cases of the algorithm is linear.

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