| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Praveen Maghelal, Abdulrahim Haroun Ali, Elie Azar, Raja Jayaraman, Kinda Khala. Severity of vehicle-to-vehicle accidents in the UAE: An exploratory analysis using machine learning algorithms. Heliyon. vol 9. issue 10. 2023-10-13. PMID:37829796. |
the rf model outperformed both gb and svm, with the confusion matrix of rf reporting a better prediction for all four crash severity classes. |
2023-10-13 |
2023-10-15 |
Not clear |
| A R Narayani, R Nagalakshm. Assessing spatiotemporal changes in landcover using geospatial and remote sensing techniques in the Southern fringes of Chennai. Environmental monitoring and assessment. vol 195. issue 11. 2023-10-13. PMID:37831415. |
accuracy was assessed using ground-truthing methods, computing the confusion matrix and kappa coefficient. |
2023-10-13 |
2023-10-15 |
Not clear |
| Yumin Jo, Dongheon Lee, Donghyeon Baek, Bo Kyung Choi, Nisan Aryal, Jinsik Jung, Yong Sup Shin, Boohwi Hon. Optimal view detection for ultrasound-guided supraclavicular block using deep learning approaches. Scientific reports. vol 13. issue 1. 2023-10-11. PMID:37821574. |
the performance of the two approaches was evaluated based on a confusion matrix. |
2023-10-11 |
2023-10-15 |
Not clear |
| Fulvia Gennari, Mario Pagano, Alessandra Toncelli, Maria Tiziana Lisanti, Riccardo Paoletti, Pio Federico Roversi, Alessandro Tredicucci, Matteo Giaccon. Terahertz imaging for non-invasive classification of healthy and cimiciato-infected hazelnuts. Heliyon. vol 9. issue 9. 2023-10-09. PMID:37809509. |
the performance of the classification scheme has been assessed through the use of the confusion matrix on 50 samples. |
2023-10-09 |
2023-10-15 |
Not clear |
| Xue Sun, Deng-Ting Zhang, Hui Wang, Cong Zhou, Jian Yang, Dai-Yin Peng, Xiao-Bo Zhan. [Origin identification of Poria cocos based on hyperspectral imaging technology]. Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica. vol 48. issue 16. 2023-10-06. PMID:37802860. |
finally, confusion matrix was employed to evaluate the optimal model, with f1 score as the evaluation standard. |
2023-10-06 |
2023-10-15 |
Not clear |
| Guohong Gao, Chengchao Wang, Jianping Wang, Yingying Lv, Qian Li, Yuxin Ma, Xueyan Zhang, Zhiyu Li, Guanglan Che. CNN-Bi-LSTM: A Complex Environment-Oriented Cattle Behavior Classification Network Based on the Fusion of CNN and Bi-LSTM. Sensors (Basel, Switzerland). vol 23. issue 18. 2023-09-28. PMID:37765771. |
classification performance accuracy is quantified through the application of a confusion matrix. |
2023-09-28 |
2023-10-07 |
human |
| Abdullah A Asiri, Ahmad Shaf, Tariq Ali, Muhammad Ahmad Pasha, Muhammad Aamir, Muhammad Irfan, Saeed Alqahtani, Ahmad Joman Alghamdi, Ali H Alghamdi, Abdullah Fahad A Alshamrani, Magbool Alelyani, Sultan Alamr. Advancing Brain Tumor Classification through Fine-Tuned Vision Transformers: A Comparative Study of Pre-Trained Models. Sensors (Basel, Switzerland). vol 23. issue 18. 2023-09-28. PMID:37765970. |
the performance evaluation of each model is conducted through an extensive analysis encompassing precision, recall, f1-score, accuracy, and confusion matrix metrics. |
2023-09-28 |
2023-10-07 |
Not clear |
| Ziang Zhu, Wayne Parker, Alexander Won. Leveraging deep learning for automatic recognition of microplastics (MPs) via focal plane array (FPA) micro-FT-IR imaging. Environmental pollution (Barking, Essex : 1987). 2023-09-27. PMID:37757933. |
the errors in identification as indicated by a confusion matrix were found to be caused by edge effects, molecular similarity of plastics, and the contamination of standards. |
2023-09-27 |
2023-10-07 |
Not clear |
| Chul-Min Lee, Mimi Kim, Bo-Kyeong Kang, Dae Won Jun, Eileen L Yoo. Discordance diagnosis between B-mode ultrasonography and MRI proton density fat fraction for fatty liver. Scientific reports. vol 13. issue 1. 2023-09-21. PMID:37730972. |
we made a confusion matrix for fl diagnosis between b-usg and mri-pdff and identified four discordant groups as follows: (1) the "ufl-mnfl-wo" group [b-usg fl-mri-pdff no fl without chronic liver disease (cld) or liver cirrhosis (lc)]; (2) the "ufl-mnfl-w" group (b-usg fl-mri-pdff no fl with cld or lc); (3) the "unfl-mfl-wo" group (b-usg no fl-mri-pdff fl without cld or lc); and (4) the "unfl-mfl-w" group (b-usg no fl-mri-pdff fl with cld or lc). |
2023-09-21 |
2023-10-07 |
Not clear |
| Yi Xu, Teng Sun, Shaohong Ding, Jinxin Yu, Xiangcun Kong, Juan Ni, Shuyue Sh. VIDAR-Based Road-Surface-Pothole-Detection Method. Sensors (Basel, Switzerland). vol 23. issue 17. 2023-09-09. PMID:37687924. |
by comparing it with the classical method and using the confusion matrix to judge the correctness, recall and accuracy of the method proposed in this paper, it is verified that the method proposed in this paper can improve the accuracy of monocular vision in detecting potholes in road surfaces. |
2023-09-09 |
2023-10-07 |
Not clear |
| Dong-Yoon Kim, EunBin Park, KyoBeom Ku, Se Jin Hwang, Kyu Tae Hwang, Chang-Hun Lee, Gil Ho Yoo. Application of stacked autoencoder for identification of bone fracture. Journal of the mechanical behavior of biomedical materials. vol 146. 2023-09-01. PMID:37657297. |
moreover, a confusion matrix is employed to evaluate classification accuracy and training validity. |
2023-09-01 |
2023-09-07 |
human |
| Dongning Ma, Meltem Izzetoglu, Roee Holtzer, Xun Jia. Deep Learning Based Walking Tasks Classification in Older Adults Using fNIRS. IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society. vol 31. 2023-08-31. PMID:37594868. |
we present additional sensitivity metrics such as confusion matrix, precision and f |
2023-08-31 |
2023-09-07 |
Not clear |
| Zih-Hao Huang, Yi-Yang Liu, Wei-Juei Wu, Ko-Wei Huan. Design and Validation of a Deep Learning Model for Renal Stone Detection and Segmentation on Kidney-Ureter-Bladder Images. Bioengineering (Basel, Switzerland). vol 10. issue 8. 2023-08-26. PMID:37627855. |
the performance was evaluated using a confusion matrix for the classification model. |
2023-08-26 |
2023-09-07 |
Not clear |
| Haseeb Ahmed Khan, Uzair Bhatti, Khurram Kamal, Mohammed Alkahtani, Mustufa Haider Abidi, Senthan Mathava. Fault Classification for Cooling System of Hydraulic Machinery Using AI. Sensors (Basel, Switzerland). vol 23. issue 16. 2023-08-26. PMID:37631690. |
various features were extracted from the data including the f-score, precision, accuracy, and recall using a confusion matrix. |
2023-08-26 |
2023-09-07 |
Not clear |
| Hanlim Choi, Jin Young Lee, Younghoon Sul, Seheon Kim, Jin Bong Ye, Jin Suk Lee, Suyoung Yoon, Junepill Seok, Jonghee Han, Jung Hee Choi, Hong Rye Ki. Comparing machine learning and logistic regression for acute kidney injury prediction in trauma patients: A retrospective observational study at a single tertiary medical center. Medicine. vol 102. issue 33. 2023-08-21. PMID:37603521. |
the models established using the training dataset were evaluated using a confusion matrix receiver operating characteristic curve with the test dataset. |
2023-08-21 |
2023-09-07 |
Not clear |
| Johan Sebastian Lopez Salguero, Melissa Rodríguez Rendón, Jessica Triviño Valencia, Jorge Andrés Cuellar Gil, Carlos Andrés Naranjo Galvis, Oscar Moscoso Londoño, César Leandro Londoño Calderón, Fabio Augusto Gonzáles Osorio, Reinel Tabares Sot. Automatic detection of Cryptosporidium in optical microscopy images Using YOLOv5x: A comparative study. Biochemistry and cell biology = Biochimie et biologie cellulaire. 2023-08-16. PMID:37586108. |
metrics used to assess model accuracy were mean average accuracy (map), confusion matrix, and the f1 scores. |
2023-08-16 |
2023-09-07 |
Not clear |
| Han-Qing Gu, Xia-Xia Liu, Lu Xu, Yi-Jia Zhang, Zhe-Ming L. Period Estimation of Spread Spectrum Codes Based on ResNet. Sensors (Basel, Switzerland). vol 23. issue 15. 2023-08-12. PMID:37571785. |
upon training and verifying the model using bpsk modulation, it is then put to the test with qpsk-modulated signals, and the estimation performance was analyzed through metrics such as loss function, accuracy rate, recall rate, and confusion matrix. |
2023-08-12 |
2023-08-16 |
Not clear |
| Muhammad S Ghauri, Akshay J Reddy, Nathaniel Tak, Ethan A Tabaie, Ajay Ramnot, Parsa Riazi Esfahani, Neel Nawathey, Javed Siddiq. Utilizing Deep Learning for X-ray Imaging: Detecting and Classifying Degenerative Spinal Conditions. Cureus. vol 15. issue 7. 2023-08-10. PMID:37559851. |
evaluation metrics, including accuracy, precision, recall, and confusion matrix, were calculated. results the model achieved an average precision of 0.88, with precision and recall values of 87% and 83.3%, respectively, indicating its high accuracy in classifying dscs and distinguishing these from normal cases. |
2023-08-10 |
2023-08-16 |
Not clear |
| Zhiwen Li, Xingyu Chen, Jie Qi, Chong Xu, Jiafu An, Jiandong Che. Accuracy assessment of land cover products in China from 2000 to 2020. Scientific reports. vol 13. issue 1. 2023-08-09. PMID:37558712. |
in this study, the interpretation and applicability of cci, mcd, and cgls long time-series land cover data products for china were evaluated via consistency analysis and a confusion matrix system using nlud-c periodic products as reference data. |
2023-08-09 |
2023-08-16 |
Not clear |
| Hengyuan Zhang, Shashank Venkatramani, David Paz, Qinru Li, Hao Xiang, Henrik I Christense. Probabilistic Semantic Mapping for Autonomous Driving in Urban Environments. Sensors (Basel, Switzerland). vol 23. issue 14. 2023-07-29. PMID:37514797. |
our pipeline utilizes semantic segmentation of 2d images, associates semantic labels with points in point cloud maps to pinpoint locations in the physical world, and employs a confusion matrix formulation to generate a probabilistic bird's-eye view semantic map from semantic point clouds. |
2023-07-29 |
2023-08-14 |
Not clear |