| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Muflih Alhammad, Nicolas P Avdelidis, Clemente Ibarra-Castanedo, Muhammet E Torbali, Marc Genest, Hai Zhang, Argyrios Zolotas, Xavier P V Maldgu. Automated Impact Damage Detection Technique for Composites Based on Thermographic Image Processing and Machine Learning Classification. Sensors (Basel, Switzerland). vol 22. issue 23. 2022-12-11. PMID:36501731. |
the prediction accuracy of the proposed classification models was calculated within a confusion matrix based on the dataset patterns representing the healthy and defective areas. |
2022-12-11 |
2023-08-14 |
Not clear |
| Hanif Bhuiyan, Jinat Ara, Khan Md Hasib, Md Imran Hossain Sourav, Faria Benta Karim, Cecilia Sik-Lanyi, Guido Governatori, Andry Rakotonirainy, Shamsunnahar Yasmi. Crash severity analysis and risk factors identification based on an alternate data source: a case study of developing country. Scientific reports. vol 12. issue 1. 2022-12-09. PMID:36481807. |
a confusion matrix was considered to evaluate the proposed model, including classification accuracy, sensitivity, and specificity. |
2022-12-09 |
2023-08-14 |
Not clear |
| Cong Zhou, Hui Wang, Jian Yang, Xiao-Bo Zhan. [Origin identification of Gardeniae Fructus based on hyperspectral imaging technology]. Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica. vol 47. issue 22. 2022-12-06. PMID:36471926. |
according to the confusion matrix evaluation results, the model prediction set using linearsvc reached 100% accuracy, so the optimum identification model of gardeniae fructus origin was determined as fusion bands-fd-linearsvc. |
2022-12-06 |
2023-08-14 |
Not clear |
| Madhusudan G Lanjewar, Arman Yusuf Shaikh, Jivan Para. Cloud-based COVID-19 disease prediction system from X-Ray images using convolutional neural network on smartphone. Multimedia tools and applications. 2022-12-05. PMID:36467434. |
the confusion matrix was utilized to assess the models' outcome and achieved 99% precision, 98% recall, 99% f1 score, 100% training area under the curve (auc) and 98.3% validation auc. |
2022-12-05 |
2023-08-14 |
Not clear |
| In-Chang Hwang, Dongjun Choi, You-Jung Choi, Lia Ju, Myeongju Kim, Ji-Eun Hong, Hyun-Jung Lee, Yeonyee E Yoon, Jun-Bean Park, Seung-Pyo Lee, Hyung-Kwan Kim, Yong-Jin Kim, Goo-Yeong Ch. Differential diagnosis of common etiologies of left ventricular hypertrophy using a hybrid CNN-LSTM model. Scientific reports. vol 12. issue 1. 2022-12-05. PMID:36470931. |
diagnostic performance of the algorithm was evaluated by the area under the receiver operating characteristic curve (auc), and accuracy was evaluated by the confusion matrix. |
2022-12-05 |
2023-08-14 |
human |
| Rose-Danielle Ngoumo. How does the experience of the medical encounter with Mayer-Rokitansky-Küster-Hauser (MRKH) syndrome impact women in Africa? The Pan African medical journal. vol 42. 2022-12-01. PMID:36451980. |
the medical encounter of young girls with the syndrome is intertwined in a complex matrix of social, economic and cultural factors that only contribute in creating more confusion in the young girl. |
2022-12-01 |
2023-08-14 |
Not clear |
| Yakup Ülger, Anıl Deli. Artificial intelligence model with deep learning in nonalcoholic fatty liver disease diagnosis: genetic based artificial neural networks. Nucleosides, nucleotides & nucleic acids. 2022-11-30. PMID:36448439. |
percent accuracy, area under the roc curve, confusion matrix, positive (ppv) and negative predicted value (npv) values, precision, recall, and f1-score results were determined. |
2022-11-30 |
2023-08-14 |
Not clear |
| Yu Toda, Shin Ishihara, Akira Kawai, Akihiko Yoshid. Blue lacy matrix in giant cell tumour of bone with or without denosumab therapy. Virchows Archiv : an international journal of pathology. 2022-11-29. PMID:36447097. |
recognising this unique matrix will help avoid confusion with other bone tumours with different clinical management. |
2022-11-29 |
2023-08-14 |
Not clear |
| Argyro Mavrogiorgou, Athanasios Kiourtis, Spyridon Kleftakis, Konstantinos Mavrogiorgos, Nikolaos Zafeiropoulos, Dimosthenis Kyriazi. A Catalogue of Machine Learning Algorithms for Healthcare Risk Predictions. Sensors (Basel, Switzerland). vol 22. issue 22. 2022-11-26. PMID:36433212. |
based on a variety of performance metrics (accuracy, recall, precision, f1-score, specificity, confusion matrix), it has been identified that a sub-set of ml algorithms are more efficient for timely predictions under specific healthcare scenarios, and that is why the envisioned ml catalogue prioritizes the ml algorithms to be used, depending on the scenarios' nature and needed metrics. |
2022-11-26 |
2023-08-14 |
Not clear |
| Kang Xia, Xianglei Chen, Xuedong Chang, Chongshuai Liu, Liwei Guo, Xiaobin Xu, Fangrui Lv, Yimin Wang, Han Sun, Jianfang Zho. Hand Exoskeleton Design and Human-Machine Interaction Strategies for Rehabilitation. Bioengineering (Basel, Switzerland). vol 9. issue 11. 2022-11-24. PMID:36421083. |
outstanding sensor-machine synergy is confirmed by trigger rate evaluation, kernel density estimation (kde), and a confusion matrix. |
2022-11-24 |
2023-08-14 |
human |
| D Jaipriya, K C Sriharipriy. A comparative analysis of masking empirical mode decomposition and a neural network with feed-forward and back propagation along with masking empirical mode decomposition to improve the classification performance for a reliable brain-computer interface. Frontiers in computational neuroscience. vol 16. 2022-11-21. PMID:36405787. |
the accuracy of the proposed method memd-ffbpnn has been measured using the confusion matrix, mean square error and which has been recorded up to 99.9%. |
2022-11-21 |
2023-08-14 |
Not clear |
| Ping Zheng, Ze Yu, Liqian Mo, Yuqing Zhang, Chunming Lyu, Yongsheng Yu, Jinyuan Zhang, Xin Hao, Hai Wei, Fei Gao, Yilei L. An individualized medication model of sodium valproate for patients with bipolar disorder based on machine learning and deep learning techniques. Frontiers in pharmacology. vol 13. 2022-11-07. PMID:36339624. |
last, the confusion matrix presented that predicting a daily dose of 0.5 g vpa had a precision of 55.56% and recall rate of 83.33%, and predicting a daily dose of 1 g vpa had a precision of 95.83% and a recall rate of 85.19%. |
2022-11-07 |
2023-08-14 |
Not clear |
| Cao Run-Nan, Fang Meng-Jie, Li Hai-Ling, Tian Jie, Dong D. Semi-supervised Long-tail Endoscopic Image Classification. Chinese medical sciences journal = Chung-kuo i hsueh k'o hsueh tsa chih. vol 37. issue 3. 2022-11-02. PMID:36321172. |
through analyzing the confusion matrix and labeling bias in each class, we found that the pseudo-based ssl algorithm exacerbated the classifier's preference for the head class, resulting in improved performance in the head class and degenerated performance in the tail class. |
2022-11-02 |
2023-08-14 |
Not clear |
| Nirmala Devi Kathamuthu, Shanthi Subramaniam, Q H Le, Suresh Muthusamy, Hitesh Panchal, Suma Christal Mary Sundararajan, Ali Jawad Alruabie, Musaddak Maher Abdul Zahr. A deep transfer learning-based convolution neural network model for COVID-19 detection using Computed tomography scan images for medical applications. Advances in engineering software (Barking, London, England : 1992). 2022-10-31. PMID:36311489. |
each model's performance was evaluated using a confusion matrix and various performance measures such as accuracy, recall, precision, f1-score, loss, and roc. |
2022-10-31 |
2023-08-14 |
human |
| Diego Osorio, Aikaterini Vraka, José Moreno-Arribas, Vicente Bertomeu-González, Raúl Alcaraz, José J Riet. Comparative Study of Methods for Cycle Length Estimation in Fractionated Electrograms of Atrial Fibrillation. Journal of personalized medicine. vol 12. issue 10. 2022-10-27. PMID:36294851. |
for each method, law detection has been assessed with respect to manual annotations made by two experts and performance has been estimated by confusion matrix and mean and individual (cl) error calculation by egm types of fractionation. |
2022-10-27 |
2023-08-14 |
Not clear |
| Wei Wang, Xiaowei Wen, Xin Wang, Chen Tang, Jiwei Den. CAW: A Remote-Sensing Scene Classification Network Aided by Local Window Attention. Computational intelligence and neuroscience. vol 2022. 2022-10-21. PMID:36268144. |
at the same time, the effectiveness of the network structure in remote-sensing image classification tasks is verified through ablation experiments, confusion matrix, and heat map results comparison. |
2022-10-21 |
2023-08-14 |
Not clear |
| Liheng He, Tingru Zhu, Meng L. An Early Warning Intelligent Algorithm System for Forest Resource Management and Monitoring. Computational intelligence and neuroscience. vol 2022. 2022-10-21. PMID:36268147. |
the forest distribution map is generated by pixel level fusion algorithm, and the accuracy of the forest distribution map is evaluated by a confusion matrix. |
2022-10-21 |
2023-08-14 |
Not clear |
| Marta Walenczykowska, Adam Kawale. Application of Continuous Wavelet Transform and Artificial Naural Network for Automatic Radar Signal Recognition. Sensors (Basel, Switzerland). vol 22. issue 19. 2022-10-14. PMID:36236532. |
finally, the obtained classification efficiency is presented in the form of a confusion matrix. |
2022-10-14 |
2023-08-14 |
Not clear |
| Louis J Dankovich, Monifa Vaughn-Cooke, Sarah Bergbreite. Can You Do That Again? Time Series Consolidation as a Robust Method of Tailoring Gesture Recognition to Individual Users. Sensors (Basel, Switzerland). vol 22. issue 19. 2022-10-14. PMID:36236611. |
in tsc a confusion matrix was used to automatically consolidate commonly confused class labels, resulting in a set of gestures tailored to an individual subject's abilities. |
2022-10-14 |
2023-08-14 |
human |
| Chingching Foocharoen, Wilaiphorn Thinkhamrop, Nathaphop Chaichaya, Ajanee Mahakkanukrauh, Siraphop Suwannaroj, Bandit Thinkhamro. Development and validation of machine learning for early mortality in systemic sclerosis. Scientific reports. vol 12. issue 1. 2022-10-13. PMID:36229500. |
in addition, the model's performance was evaluated using the area under the receiver operating characteristic curve (auroc) and its 95% confidence interval (ci) and values in the confusion matrix. |
2022-10-13 |
2023-08-14 |
Not clear |