Monitoring the performance of human and automated scores for spoken responses

2016 ◽  
Vol 35 (1) ◽  
pp. 101-120 ◽  
Author(s):  
Zhen Wang ◽  
Klaus Zechner ◽  
Yu Sun
Keyword(s):  
Scoring System ◽  
Scoring Systems ◽  
Automated Scoring ◽  
Language Assessments ◽  
Constructed Responses

As automated scoring systems for spoken responses are increasingly used in language assessments, testing organizations need to analyze their performance, as compared to human raters, across several dimensions, for example, on individual items or based on subgroups of test takers. In addition, there is a need in testing organizations to establish rigorous procedures for monitoring the performance of both human and automated scoring processes during operational administrations. This paper provides an overview of the automated speech scoring system SpeechRaterSM and how to use charts and evaluation statistics to monitor and evaluate automated scores and human rater scores of spoken constructed responses.

Quantum-based automated short answer scoring system

2018 ◽  
Vol 32 (33) ◽  
pp. 1850403
Author(s):  
Tarandeep Singh Walia ◽  
Gurpreet Singh Josan ◽  
Amarpal Singh
Keyword(s):  
Statistical Method ◽  
Hybrid System ◽  
Scoring System ◽  
Scoring Systems ◽  
Automated Scoring ◽  
Rule Based ◽  
Short Answer ◽  
Human Assessment ◽  
Examination Process

Answer Scoring is defined as an act of assigning a score to an answer by a human grader. This scoring technique is costly and requires deep logical efforts and it depends on less-than-perfect human assessment. However, the Automated Scoring (AS) System has its importance in providing the student with a score as well as feedback within seconds. This paper describes an AS system in which scores are assigned to essays automatically based upon predefined algorithms. Most of the educational sectors carry out an important examination process, i.e. to examine and assess the capabilities of the student based on his/her given answers. To accomplish this process, the human graders can apply this Automated Answer Scoring system. The paper goes through the existing techniques for automated answer scoring systems and then goes on to explain the newly developed system in which scoring is done by the statistical method adopting and integrating rule-based semantic quantum-based features analysis resulting in more accuracy. It is in a way a hybrid system suitable for short answer type scoring. It also presents the methodology and architecture of AS.

The Reliability of Ultrasound in the Assessment of Hyaline Cartilage in Rheumatoid Arthritis and Healthy Metacarpal Heads

2020 ◽  
Author(s):  
Edoardo Cipolletta ◽  
Emilio Filippucci ◽  
Andrea Di Matteo ◽  
Giulia Tesei ◽  
Micaela Ana Cosatti ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Scoring System ◽  
Quantitative Assessment ◽  
Hyaline Cartilage ◽  
Scoring Systems ◽  
Thickness Measurement ◽  
Cartilage Thickness ◽  
Observer Agreement ◽  
Very High Frequency ◽  
Observer Reliability

Abstract Purpose i) To assess the inter- and intra-observer reliability of ultrasound (US) in the evaluation of the hyaline cartilage (HC) of the metacarpal head (MH) in patients with rheumatoid arthritis (RA) and in healthy subjects (HS) both qualitatively and quantitatively. ii) To calculate the smallest detectable difference (SDD) of the MH cartilage thickness measurement. iii) To correlate the qualitative scoring system and the quantitative assessment. Materials and Methods US examination was performed on 280 MHs of 20 patients with RA and 15 HS using a very high frequency probe (up to 22 MHz). HC status was evaluated both qualitatively (using a five-grade scoring system) and quantitatively (using the average value of the longitudinal and transverse measures). The HC of MHs from II to V metacarpophalangeal joint of both hands were scanned independently on the same day by two rheumatologists to assess inter-observer reliability. All subjects were re-examined using the same scanning protocol and the same US setting by one sonographer after a week to assess intra-observer reliability. Results The inter-observer agreement and intra-observer agreement were moderate to substantial (k = 0.66 and k = 0.73) for the qualitative scoring system and high (ICC = 0.93 and ICC = 0.94) for the quantitative assessment. The SDD of the MH cartilage thickness measurement was 0.09 mm. A significant correlation between the two scoring systems was found (r = –0.35; p < 0.001). Conclusion The present study describes the main methodological issues of HC assessment. Using a standardized protocol, both the qualitative and the quantitative scoring systems can be reliable.

Two-dimensional-Wilkins and real-time transesophageal three-dimensional scoring systems: Which one is preferred to mitral valve morphological assessment?

2021 ◽  
pp. 021849232110304
Author(s):  
Mehrnoush Toufan ◽  
Zahra Jabbary ◽  
Naser Khezerlou aghdam
Keyword(s):  
Mitral Valve ◽  
Transthoracic Echocardiography ◽  
Scoring System ◽  
Three Dimensional ◽  
Scoring Systems ◽  
Two Dimensional ◽  
Mitral Valve Area ◽  
2D And 3D ◽  
Morphological Assessment ◽  
Valve Area

Background To quantify valvular morphological assessment, some two-dimensional (2D) and three-dimensional (3D) scoring systems have been developed to target the patients for balloon mitral valvuloplasty; however, each scoring system has some potential limitations. To achieve the best scoring system with the most features and the least restrictions, it is necessary to check the degree of overlap of these systems. Also the factors related to the accuracy of these systems should be studied. We aimed to determine the correlation between the 2D Wilkins and real-time transesophageal three-dimensional (RT3D-TEE) scoring systems. Methods This cross-sectional study was performed on 156 patients with moderate to severe mitral stenosis who were candidates for percutaneous balloon valvuloplasty. To morphologic assessment of mitral valve, patients were examined by 2D-transthoracic echocardiography and RT3D-TEE techniques on the same day. Results A strong association was found between total Wilkins and total RT3D-TEE scores (r = 0.809, p < 0.001). The mean mitral valve area assessed by the 2D and 3D was 1.07 ± 0.25 and 1.03 ± 0.26, respectively, indicating a mean difference of 0.037 cm2 (p = 0.001). We found a strong correlation between the values of mitral valve area assessed by 2D and 3D techniques (r = 0.846, p < 0.001). Conclusion There is a high correlation between the two scoring systems in terms of evaluating dominant morphological features. Partially, mitral valve area overestimation in the 2D-transthoracic echocardiography and its inability to assess commissural involvement as well as its dependence on patient age were exceptions in this study.

scholarly journals Accuracy of conventional and novel scoring systems in predicting severity and outcomes of acute pancreatitis: a retrospective study

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Qing Wu ◽  
Jie Wang ◽  
Mengbin Qin ◽  
Huiying Yang ◽  
Zhihai Liang ◽  
...  
Keyword(s):  
Acute Pancreatitis ◽  
Organ Failure ◽  
Scoring System ◽  
Characteristic Curve ◽  
Failure Prediction ◽  
Scoring Systems ◽  
Mortality Prediction ◽  
Severity Prediction ◽  
Index Of Severity ◽  
Glasgow Score

Abstract Background Recently, several novel scoring systems have been developed to evaluate the severity and outcomes of acute pancreatitis. This study aimed to compare the effectiveness of novel and conventional scoring systems in predicting the severity and outcomes of acute pancreatitis. Methods Patients treated between January 2003 and August 2020 were reviewed. The Ranson score (RS), Glasgow score (GS), bedside index of severity in acute pancreatitis (BISAP), pancreatic activity scoring system (PASS), and Chinese simple scoring system (CSSS) were determined within 48 h after admission. Multivariate logistic regression was used for severity, mortality, and organ failure prediction. Optimum cutoffs were identified using receiver operating characteristic curve analysis. Results A total of 1848 patients were included. The areas under the curve (AUCs) of RS, GS, BISAP, PASS, and CSSS for severity prediction were 0.861, 0.865, 0.829, 0.778, and 0.816, respectively. The corresponding AUCs for mortality prediction were 0.693, 0.736, 0.789, 0.858, and 0.759. The corresponding AUCs for acute respiratory distress syndrome prediction were 0.745, 0.784, 0.834, 0.936, and 0.820. Finally, the corresponding AUCs for acute renal failure prediction were 0.707, 0.734, 0.781, 0.868, and 0.816. Conclusions RS and GS predicted severity better than they predicted mortality and organ failure, while PASS predicted mortality and organ failure better. BISAP and CSSS performed equally well in severity and outcome predictions.

“A COMPARATIVE STUDY OF RIPASA SCORE AND ALVARADO SCORE IN THE DIAGNOSIS OF ACUTE APPENDICITIS”

2021 ◽  
pp. 25-28
Author(s):  
M. Vijaya Kumar ◽  
Manasa Manasa
Keyword(s):  
Acute Appendicitis ◽  
Diagnostic Accuracy ◽  
Predictive Value ◽  
Scoring System ◽  
Local Population ◽  
Scoring Systems ◽  
Signs And Symptoms ◽  
Alvarado Score ◽  
Predictive Values ◽  
Ripasa Score

Acute appendicitis is the most common condition encountered in the Emergency department .Alvarado and Modied Alvarado scores are the most commonly used scoring system used for diagnosing acute appendicitis.,but its performance has been found to be poor in certain population . Hence our aim was to compare the diagnostic accuracy of RIPASA and ALVARADO Scoring system and study and compare sensitivity, specicity and predictive values of these scoring systems. The study was conducted in Government district hospital Nandyal . We enrolled 176 patients who presented with RIF pain . Both RIPASA and ALVARADO were applied to them. Final diagnosis was conrmed either by CT scan, intra operative nding or post operative HPE report. Sensitivity,specicity, positive predictive value, negative predictive value, diagnostic accuracy was calculated both for RIPASA and ALVARADO. It was found that sensitivity and specicity of the RIPASA score in our study are 98.7% and 83.3%, respectively. PPV and NPV were 98.1% and 88.2% and sensitivity and specicity of the Alvardo score in our study are 94.3% and 83.3%, respectively. PPV and NPV were 98% and 62.5%.Diagnostic accuracy of RIPASA score and Alvarado score are 97% and 93% respectively. RIPASA is a more specic and accurate scoring system in our local population when compared to ALVARADO . It reduces the number of missed appendicitis cases and also convincingly lters out the group of patients that would need a CT scan for diagnosis (score 5-7.5 ) BACKGROUND: Acute appendicitis is one of the most commonly dealt surgical emergencies, with a lifetime prevalence rate of approximately 1 one in seven. The incidence is 1.5–1.9 per 1,000 in the male and female population, and is approximately 1.4 times greater in men than in women. Despite being a common problem, it remains a difcult diagnosis to establish, particularly among the young, the elderly and females of reproductive age, where a host of other genitourinary and gynaecological inammatory conditions can present with signs and symptoms that are 2 similar to those of acute appendicitis. A delay in performing an appendectomy in order to improve its diagnostic accuracy increases the risk of appendicular perforation and peritonitis, which in turn increases morbidity and mortality. A variable combination of clinical signs and symptoms has been used together with laboratory ndings in several scoring systems proposed for suggesting the probability of Acute Appendicitis and the possible subsequent management pathway. The Raja Isteri Pengiran Anak Saleha Appendicitis (RIPASA) and ALVARADO score are new diagnostic scoring systems developed for the diagnosis of Acute Appendicitis and has been shown to have signicantly higher sensitivity, specicity and diagnostic accuracy. AIMS AND OBJECTIVES PRIMARY OBJECT 1. To compare RIPASA Scoring system and ALVARADO Scoring system in terms of diagnostic accuracy in Acute Appendicitis. 2. To study and compare sensitivity, specicity and predictive values of above scoring systems. SECONDARY OBJECT 1. To study the rate of negative appendicectomy based on above scoring systems. CONCLUSION: The RIPASA score is a simple scoring system with high sensitivity and specicity for the diagnosis of acute appendicitis. The 14 clinical parameters are all present in a good clinical history and examination and can be easily and quickly applied. Therefore, a decision on the management can be made early. Although the RIPASA score was developed for the local population of Brunei, we believe that it should be applicable to other regions. The RIPASA score presents greater Diagnostic accuracy and Sensitivity and equal specicity as a diagnostic test compared to the Alvarado score and is helpful in making appropriate therapeutic decisions. In hospitals like ours, the diagnosis of AA relies greatly on the clinical evaluation performed by surgeons. An adequate clinical scoring system would avoid diagnostic errors, maintaining a satisfactory low rate of negative appendectomies by adequate patient stratication, while limiting patient exposure to ionizing radiation, since 21 there is an increased risk of developing cancer with computed tomography, particularly for the paediatric age group.

scholarly journals The Characteristics of Mortality Predictor Scoring for Sepsis Patients in Haji Adam Malik Hospital

2021 ◽  
Vol 8 (10) ◽  
pp. 339-344
Author(s):  
Abdul Halim Harahap ◽  
Franciscus Ginting ◽  
Lenni Evalena Sihotang
Keyword(s):  
Sofa Score ◽  
Scoring System ◽  
Scoring Systems ◽  
Developed Countries ◽  
Apache Ii ◽  
Apache Ii Score ◽  
P Value ◽  
Cross Sectional ◽  
Cross Sectional Design ◽  
Score Apache

Introduction: Sepsis is a leading cause of death in the Intensive Care Unit (ICU) in developed countries and its incidence is increasing. Many scoring systems are used to assess the severity of disease in patients admitted to the ICU. SOFA score to assess the degree of organ dysfunction in septic patients. The Acute Physiology and Chronic Health Evaluation II (APACHE II) scoring system is most often used for patients admitted to the ICU. CCI scoring system to assess the effect of comorbid disease in critically ill patients on mortality. The study aimed to describe the characteristics of the use of scoring to predict patients’ mortality admitted to Haji Adam Malik Hospital. Methods: This is an observational study with a cross-sectional design. A total of 299 study subjects met the inclusion criteria and exclusion criteria, three types of scoring, namely SOFA score, APACHE II score, and CCI score were used to assess the prognosis of septic patients. Data analysis was performed using SPSS. P-value <0.05 was considered statistically significant. Results: A total of 252 people (84.3%) of sepsis patients died. The mean age of the septic patients who died was 54.25 years. The SOFA score ranged from 0-24, the median SOFA score in deceased sepsis patients was 5.0. The APACHE II score ranged from 0-71, the median APACHE II score in deceased sepsis patients was 23.0. The CCI score ranged from 0-37, the median CCI score in deceased sepsis patients was 5.0. Conclusion: Higher scores are associated with an increased probability of death in septic patients. Keywords: Sepsis; mortality predictor; SOFA score; APACHE II score, CCI score.

scholarly journals Development of a Sex-Specific Risk Scoring System for Predicting Cognitive Normal to Mild Cognitive Impairment (SRSS-CNMCI)

2021 ◽  
Author(s):  
Wen Luo ◽  
Hao Wen ◽  
Shuqi Ge ◽  
Chunzhi Tang ◽  
Xiufeng Liu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
High Risk ◽  
Scoring System ◽  
External Validation ◽  
Scoring Systems ◽  
Cutoff Point ◽  
Risk Scoring ◽  
Risk Scoring System

Abstract Objective: We aim to develop a sex-specific risk scoring system for predicting cognitive normal (CN) to mild cognitive impairment (MCI), abbreviated SRSS-CNMCI, to provide a reliable tool for the prevention of MCI.Methods: Participants aged 61-90 years old with a baseline diagnosis of CN and an endpoint diagnosis of MCI were screened from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database with at least one follow-up. Multivariable Cox proportional hazards models were used to identify risk factors associated with conversion from CN to MCI and to build risk scoring systems for male and female groups. Receiver operating characteristic (ROC) curve analysis was applied to determine the risk probability cutoff point corresponding to the optimal prediction effect. We ran an external validation of the discrimination and calibration based on the Harvard Aging Brain Study (HABS) database.Results: A total of 471 participants, including 240 women (51%) and 231 men (49%), aged 61 to 90 years, were included in the study cohort for subsequent primary analysis. The final multivariable models and the risk scoring systems for females and males included age, APOE ε4, Mini-Mental State Examination (MMSE) and Clinical Dementia Rating (CDR). The scoring systems for females and males revealed C statistics of 0.902 (95% CI 0.840-0.963) and 0.911 (95% CI 0.863-0.959), respectively, as measures of discrimination. The cutoff point of high and low risk was 33% in females, and more than 33% was considered high risk, while more than 9% was considered high risk for males. The external validation effect of the scoring systems was good: C statistic 0.950 for the females and C statistic 0.965 for the males. Conclusions: Our parsimonious model accurately predicts conversion from CN to MCI with four risk factors and can be used as a predictive tool for the prevention of MCI.

scholarly journals New scoring system in assessment of Hoffa’s fat pad synovitis: A comparative study with established scoring systems

2018 ◽  
Vol 10 (11) ◽  
pp. 162-171 ◽  
Author(s):  
Shigeo Hagiwara ◽  
Albert Yang ◽  
Shoichiro Takao ◽  
Yasuhito Kaneko ◽  
Taiki Nozaki ◽  
...  
Keyword(s):  
Comparative Study ◽  
Scoring System ◽  
Scoring Systems ◽  
Fat Pad ◽  
Hoffa’S Fat Pad ◽  
New Scoring

scholarly journals Using PRMSE to evaluate automated scoring systems in the presence of label noise

2020 ◽  
Author(s):  
Anastassia Loukina ◽  
Nitin Madnani ◽  
Aoife Cahill ◽  
Lili Yao ◽  
Matthew S. Johnson ◽  
...  
Keyword(s):  
Scoring Systems ◽  
Automated Scoring ◽  
Label Noise

SCESS: a WFSA-based automated simplified chinese essay scoring system with incremental latent semantic analysis

2014 ◽  
Vol 22 (2) ◽  
pp. 291-319 ◽  
Author(s):  
SHUDONG HAO ◽  
YANYAN XU ◽  
DENGFENG KE ◽  
KAILE SU ◽  
HENGLI PENG
Keyword(s):  
Latent Semantic Analysis ◽  
Scoring System ◽  
Semantic Analysis ◽  
Scoring Systems ◽  
Recall Rate ◽  
Experimental Results ◽  
Important Indicator ◽  
Simplified Chinese ◽  
Language Tests ◽  
Essay Scoring

AbstractWriting in language tests is regarded as an important indicator for assessing language skills of test takers. As Chinese language tests become popular, scoring a large number of essays becomes a heavy and expensive task for the organizers of these tests. In the past several years, some efforts have been made to develop automated simplified Chinese essay scoring systems, reducing both costs and evaluation time. In this paper, we introduce a system called SCESS (automated Simplified Chinese Essay Scoring System) based on Weighted Finite State Automata (WFSA) and using Incremental Latent Semantic Analysis (ILSA) to deal with a large number of essays. First, SCESS uses ann-gram language model to construct a WFSA to perform text pre-processing. At this stage, the system integrates a Confusing-Character Table, a Part-Of-Speech Table, beam search and heuristic search to perform automated word segmentation and correction of essays. Experimental results show that this pre-processing procedure is effective, with a Recall Rate of 88.50%, a Detection Precision of 92.31% and a Correction Precision of 88.46%. After text pre-processing, SCESS uses ILSA to perform automated essay scoring. We have carried out experiments to compare the ILSA method with the traditional LSA method on the corpora of essays from the MHK test (the Chinese proficiency test for minorities). Experimental results indicate that ILSA has a significant advantage over LSA, in terms of both running time and memory usage. Furthermore, experimental results also show that SCESS is quite effective with a scoring performance of 89.50%.

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