| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Jing L. Outbound Data Legality Analysis in CPTPP Countries under the Environment of Cross-Border Data Flow Governance. Journal of environmental and public health. vol 2022. 2022-10-10. PMID:36213036. |
the confusion matrix is used to classify the outbound data legitimacy dichotomously. |
2022-10-10 |
2023-08-14 |
Not clear |
| Ming Zhao, Jie Li, Liuqing Xiang, Zu-Hai Zhang, Sheng-Lung Pen. A diagnosis model of dementia Frontiers in aging neuroscience. vol 14. 2022-09-26. PMID:36158565. |
in this article, clinical dementia rating (cdr) is used as the data source, and various methods are used for modeling and feature selection, so as to combine similar attributes in the data set, reduce the categories, and finally use the confusion matrix to judge the effect. |
2022-09-26 |
2023-08-14 |
Not clear |
| Young-Ji Lee, Jun-Hyung Park, Seung-Ho Le. A Study on the Prediction of Cancer Using Whole-Genome Data and Deep Learning. International journal of molecular sciences. vol 23. issue 18. 2022-09-23. PMID:36142316. |
from the results of the confusion matrix, the validity of the model for predicting the cancer using an individual's whole-genome data and the deep learning proposed in this study was proven. |
2022-09-23 |
2023-08-14 |
Not clear |
| Ali Ahmed Salem, Kwan Yiew Lau, Mohd Taufiq Ishak, Zulkurnain Abdul-Malek, Samir A Al-Gailani, Salem Mgammal Al-Ameri, Ammar Mohammed, Abdulaziz Ali Saleh Alashbi, Sherif S M Ghonei. Monitoring Porcelain Insulator Condition Based on Leakage Current Characteristics. Materials (Basel, Switzerland). vol 15. issue 18. 2022-09-23. PMID:36143682. |
finally, the confusion matrix for the experimental and prediction results for each indicator was established to determine the appropriateness of each indicator in determining the insulator's health status. |
2022-09-23 |
2023-08-14 |
Not clear |
| F Zahra, N Z Jhanjhi, Sarfraz Nawaz Brohi, Navid Ali Khan, Mehedi Masud, Mohammed A AlZai. Rank and Wormhole Attack Detection Model for RPL-Based Internet of Things Using Machine Learning. Sensors (Basel, Switzerland). vol 22. issue 18. 2022-09-23. PMID:36146111. |
the results of extensive experiments are demonstrated through several metrics including confusion matrix, accuracy, precision, and recall. |
2022-09-23 |
2023-08-14 |
Not clear |
| Md Mahadi Hasan, Saba Binte Murtaz, Muhammad Usama Islam, Muhammad Jafar Sadeq, Jasim Uddi. Robust and efficient COVID-19 detection techniques: A machine learning approach. PloS one. vol 17. issue 9. 2022-09-15. PMID:36107971. |
the sampling technique includes a random selection of highly unbalanced datasets for reducing class imbalance following the application of matriculation artificial neural network that includes accuracy curve, loss curve, and confusion matrix. |
2022-09-15 |
2023-08-14 |
Not clear |
| Shahadat Uddin, Stephen Ong, Haohui L. Machine learning in project analytics: a data-driven framework and case study. Scientific reports. vol 12. issue 1. 2022-09-10. PMID:36085353. |
feature selection and evaluation methods, including the univariate feature selection, recursive feature elimination, selectfrommodel and confusion matrix, were applied to determine the most accurate prediction model. |
2022-09-10 |
2023-08-14 |
Not clear |
| Tawfeeq Shawly, Ahmed A Alsheikh. Biomedical Diagnosis of Leukemia Using a Deep Learner Classifier. Computational intelligence and neuroscience. vol 2022. 2022-09-08. PMID:36072723. |
a confusion matrix of testing images is provided to prove the correctness of the presented approach. |
2022-09-08 |
2023-08-14 |
Not clear |
| Andrés Larroza, Francisco Javier Pérez-Benito, Juan-Carlos Perez-Cortes, Marta Román, Marina Pollán, Beatriz Pérez-Gómez, Dolores Salas-Trejo, María Casals, Rafael Llobe. Breast Dense Tissue Segmentation with Noisy Labels: A Hybrid Threshold-Based and Mask-Based Approach. Diagnostics (Basel, Switzerland). vol 12. issue 8. 2022-08-26. PMID:36010173. |
we propose a novel confusion matrix (cm)-ynet model for the segmentation step. |
2022-08-26 |
2023-08-14 |
Not clear |
| Zhiyuan Liu, Ximing Gao, Chenyu L. Modeling COVID-19 Vaccine Adverse Effects with a Visualized Knowledge Graph Database. Healthcare (Basel, Switzerland). vol 10. issue 8. 2022-08-26. PMID:36011076. |
in the meantime, the model was further applied to predict the key feature symptoms that contribute to hospitalization and treatment following receipt of a covid-19 vaccine and the performance was evaluated with a confusion matrix method. |
2022-08-26 |
2023-08-14 |
Not clear |
| Denis Leite, Aldonso Martins, Diego Rativa, Joao F L De Oliveira, Alexandre M A Macie. An Automated Machine Learning Approach for Real-Time Fault Detection and Diagnosis. Sensors (Basel, Switzerland). vol 22. issue 16. 2022-08-26. PMID:36015899. |
the enhancement of the rt-fdd performance when the proposed approach is applied is proved with the feature importance, confusion matrix, and f1 score analysis, reaching mean values of 85% and 100% in each case study. |
2022-08-26 |
2023-08-14 |
human |
| Md Sakib Ullah Sourav, Huidong Wan. Intelligent Identification of Jute Pests Based on Transfer Learning and Deep Convolutional Neural Networks. Neural processing letters. 2022-08-22. PMID:35990859. |
the model's performance is further demonstrated by the precision, recall, f1-score, and confusion matrix results. |
2022-08-22 |
2023-08-14 |
Not clear |
| Felipe Restrepo, Namrata Mali, Alan Abrahams, Peter Ractha. Formal definition of the MARS method for quantifying the unique target class discoveries of selected machine classifiers. F1000Research. vol 11. 2022-08-15. PMID:35967970. |
as such, these metrics, derived from the model's confusion matrix, provide crucial insight regarding classifier-data interactions. |
2022-08-15 |
2023-08-14 |
Not clear |
| Giorgia Fabbri, Luisa Magrin, Flaviana Gottardo, Leonardo Armato, Barbara Contiero, Matteo Gianesella, Enrico Fior. Development of an equation to screen for solar hemorrhages from digital cushion ultrasound texture analysis in veal calves at slaughter. Frontiers in veterinary science. vol 9. 2022-08-15. PMID:35967996. |
validation of the equation was performed by testing predicted lesions (lespred) against the clinically evaluated lesions (leseval) with a confusion matrix, a roc analysis, and a precision-recall curve. |
2022-08-15 |
2023-08-14 |
cattle |
| Dharmendra Dangi, Dheeraj K Dixit, Amit Bhaga. Sentiment analysis of COVID-19 social media data through machine learning. Multimedia tools and applications. 2022-08-01. PMID:35912062. |
moreover, the results are also represented as a confusion matrix, accuracy, precision, and receiver operating characteristic (roc) graphs. |
2022-08-01 |
2023-08-14 |
Not clear |
| Tzu-Kang Lin, Dong-You Lee, Yu-Chung Hsu, Kai-Wei Ku. Damage Detection of Regular Civil Buildings Using Modified Multi-Scale Symbolic Dynamic Entropy. Entropy (Basel, Switzerland). vol 24. issue 7. 2022-07-27. PMID:35885210. |
the confusion matrix was used to further evaluate the shm system. |
2022-07-27 |
2023-08-14 |
Not clear |
| Mardhiyati Mohd Yunus, Ahmad Khairuddin Mohamed Yusof, Muhd Zaidi Ab Rahman, Xue Jing Koh, Akmal Sabarudin, Puteri N E Nohuddin, Kwan Hoong Ng, Mohd Mustafa Awang Kechik, Muhammad Khalis Abdul Kari. Automated Classification of Atherosclerotic Radiomics Features in Coronary Computed Tomography Angiography (CCTA). Diagnostics (Basel, Switzerland). vol 12. issue 7. 2022-07-27. PMID:35885564. |
the heatmap confusion matrix, recall (sensitivity), precision (ppv), f1 score, accuracy, receiver operating characteristic (roc), and area under the curve (auc) were analysed. |
2022-07-27 |
2023-08-14 |
Not clear |
| Dong-Her Shih, Pai-Ling Shih, Ting-Wei Wu, Cheng-Jung Li, Ming-Hung Shi. Cluster Analysis of US COVID-19 Infected States for Vaccine Distribution. Healthcare (Basel, Switzerland). vol 10. issue 7. 2022-07-27. PMID:35885762. |
furthermore, through the confusion matrix of the classifier to verify the accuracy of the cluster analysis, the study results show that the cascade k-means cluster analysis has the highest accuracy. |
2022-07-27 |
2023-08-14 |
Not clear |
| Seon-Chil Kim, Young-Sik Ch. Predictive System Implementation to Improve the Accuracy of Urine Self-Diagnosis with Smartphones: Application of a Confusion Matrix-Based Learning Model through RGB Semiquantitative Analysis. Sensors (Basel, Switzerland). vol 22. issue 14. 2022-07-27. PMID:35891125. |
in addition, to improve the reproducibility of detection accuracy, the measurement value of the existing test equipment was set to an absolute value; using a machine-learning technique, the confusion matrix, we attempted to stabilize test results that vary with environment. |
2022-07-27 |
2023-08-14 |
human |
| Habib Ullah Khan, Sulaiman Khan, Shah Nazi. A Novel Deep Learning and Ensemble Learning Mechanism for Delta-Type COVID-19 Detection. Frontiers in public health. vol 10. 2022-07-25. PMID:35874982. |
other performance metrics such as the area under the curve (auc), precision, f-score, misclassification rate, and confusion matrix are used for validation and analysis purposes. |
2022-07-25 |
2023-08-14 |
Not clear |