| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Zhipeng Li, Zhuang Miao, Changming Li, Yingying Zhou, Yixin Qiu, Chunyu Liu, Xing Teng, Yong Ta. Characterization of rice starch changes in saline and alkaline area under different fertilization conditions based on Raman spectral recognition technology. Scientific reports. vol 15. issue 1. 2025-03-19. PMID:40102544. |
the evaluation indexes such as the confusion matrix and the receiver operating characteristic curve comprehensively analyzed the model's performance. |
2025-03-19 |
2025-03-21 |
Not clear |
| Lingyao Wang, Chenyue Pan, Haitao Zhao, Mingyi Ji, Xinren Wang, Junchen Yuan, Miao Liu, Donglai Jia. Highly Accurate Adaptive Federated Forests Based on Resistance to Adversarial Attacks in Wireless Traffic Prediction. Sensors (Basel, Switzerland). vol 25. issue 5. 2025-03-17. PMID:40096487. |
atmff employs adaptive threshold modification, utilizing a confusion matrix rate-based screening-weighted aggregation of weak classifiers to adjust the decision threshold. |
2025-03-17 |
2025-03-20 |
Not clear |
| Dimple Tiwari, Bhoopesh Singh Bhati, Bharti Nagpal, Amal Al-Rasheed, Masresha Getahun, Ben Othman Soufien. A swarm-optimization based fusion model of sentiment analysis for cryptocurrency price prediction. Scientific reports. vol 15. issue 1. 2025-03-10. PMID:40057585. |
the model's efficiency is measured in terms of confusion matrix, weighted f1-score, weighted precision, weighted recall, training accuracy, and testing accuracy. |
2025-03-10 |
2025-03-12 |
Not clear |
| Dan Tao, Suyuan Deng, Guangying Qiu, Xinglan F. Model updating strategy study about sex identification of silkworm pupae using transfer learning and NIR spectroscopy. Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy. vol 335. 2025-03-09. PMID:40058088. |
uniform manifold approximation and projection (umap) and confusion matrix were employed to comprehensively evaluate the results. |
2025-03-09 |
2025-03-12 |
Not clear |
| Ashley FitzGerald, Taikang Nin. Heart Murmur Classification for Diagnostic Applications. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. vol 2024. 2025-03-05. PMID:40039174. |
the efficiency of the feature extraction methodology and the machine learning algorithms was evaluated with a confusion matrix. |
2025-03-05 |
2025-03-07 |
Not clear |
| Kate McLeish, Derek Hill, Jeremy Roche, Wan-Tai Au-Yeung, Jeffrey Kay. Validating Room Location within the Home for Functional Measures from Digital Health Technologies. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. vol 2024. 2025-03-05. PMID:40039572. |
the results are presented in a confusion matrix. |
2025-03-05 |
2025-03-07 |
Not clear |
| R Teodoro Ors-Quixal, Samuel Ruiperez-Campillo, Francisco Castells-Ramon, Jose Mille. EEG Tensorization Enhances CNN-Based Outcome Classification in Comatose Patients Following a Cardiac Arrest. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. vol 2024. 2025-03-05. PMID:40039083. |
evaluation metrics focus on the area under the receiver operating characteristic curve, confusion matrix, accuracy, and f1 score. |
2025-03-05 |
2025-03-07 |
Not clear |
| Wu Sun, Junhua L. AdaptEEG: A Deep Subdomain Adaptation Network with Class Confusion Loss for CrossSubject Mental Workload Classificatio. IEEE journal of biomedical and health informatics. vol PP. 2025-03-03. PMID:40030419. |
moreover, the class confusion matrix was constructed by the product of the weighted class probabilities (class probabilities predicted by the label classifier) and the transpose of the class probabilities. |
2025-03-03 |
2025-03-06 |
human |
| Wu Sun, Junhua L. AdaptEEG: A Deep Subdomain Adaptation Network with Class Confusion Loss for CrossSubject Mental Workload Classificatio. IEEE journal of biomedical and health informatics. vol PP. 2025-03-03. PMID:40030419. |
the loss for maximizing diagonal elements and minimizing non-diagonal elements of the class confusion matrix was added to increase the credibility of pseudolabels, thus improving the transfer performance. |
2025-03-03 |
2025-03-06 |
human |
| Muhammad Waseem Asif, Aqsa Aqdus, Rashid Amin, Shehzad Ashraf Chaudhry, Faisal S Alsubaei, Sajid Iqba. An Efficient Intrusion Detection System using Advanced Machine Learning Techniques in Software-Defined Networks (SDN) for Healthcare System. IEEE journal of biomedical and health informatics. vol PP. 2025-03-03. PMID:40030900. |
moreover, model accuracy fidelity is reviewed via precision assessment, alpha () effecting on accuracy of the model and confusion matrix with different techniques with the proposed hybrid svm-knn model. |
2025-03-03 |
2025-03-06 |
Not clear |
| Vineet Meha. Artificial Intelligence Powered Automated and Early Diagnosis of Acute Lymphoblastic Leukemia Cancer in Histopathological Images: A Robust SqueezeNet-Enhanced Machine Learning Framework. International journal of telemedicine and applications. vol 2025. 2025-02-28. PMID:40017574. |
results are further validated by confusion matrix (cm), calibration plot (cp), receiver operating characteristic (roc) analysis, and comparative analysis with previous techniques. |
2025-02-28 |
2025-03-02 |
Not clear |
| Arindam Halder, Anogh Dalal, Sanghita Gharami, Marcin Wozniak, Muhammad Fazal Ijaz, Pawan Kumar Sing. A fuzzy rank-based deep ensemble methodology for multi-class skin cancer classification. Scientific reports. vol 15. issue 1. 2025-02-20. PMID:39979375. |
we examined the performance of the ensemble using standard metrics like classification accuracy, confusion matrix, etc. |
2025-02-20 |
2025-02-23 |
Not clear |
| Madallah Alruwaili, Ali Ali, Mohammed Almutairi, Abdulaziz Alsahyan, Mahmood Mohame. LSTM and ResNet18 for optimized ambulance routing and traffic signal control in emergency situations. Scientific reports. vol 15. issue 1. 2025-02-19. PMID:39971977. |
additional metrics, including precision, recall, f1-score, and a confusion matrix, confirm the model's reliability. |
2025-02-19 |
2025-02-23 |
Not clear |
| Anna Latha M, Ramesh . Comprehensive analysis of prefrontal cortex-directional rhythms categorization for rehabilitation. Computer methods in biomechanics and biomedical engineering. 2025-02-19. PMID:39970032. |
consequently, in contrast to existing machine learning-based approaches, this generalized rbf-svm classifier effectively identified observed data with an overall 96.91% accuracy validated with a 10-fold repeated random train test split cross validation technique using confusion matrix analysis. |
2025-02-19 |
2025-02-23 |
Not clear |
| İsmail Yüksel Genç, Remzi Gürfidan, Tuncay Yiği. Quality prediction of seabream Sparus aurata by deep learning algorithms and explainable artificial intelligence. Food chemistry. vol 474. 2025-02-09. PMID:39923522. |
according to the confusion matrix values, it was determined that the prediction performance of the model was 100 % and the lowest value was calculated to be 98.42 % in the spoiled class in the eye parameter. |
2025-02-09 |
2025-02-13 |
Not clear |
| b' Silvia Asenjo, Aleix Soler-Garcia, Ana Morillo-Palomo, Anna Habimana-Jordana, Montserrat Guillen, Catalina Bolanc\\xc3\\xa9, Sergi Navarro-Vilarrub\\xc3\\xa. Analysis of the surprise question as a tool for predicting death in neonates. European journal of pediatrics. vol 184. issue 2. 2025-02-07. PMID:39918789.' |
the surprise question was formulated to one or more pediatricians per neonate at admission, 7 days of life, and 28 days of life, with patient status recorded after 12 months to elaborate a confusion matrix of prognostic test results. |
2025-02-07 |
2025-02-09 |
Not clear |
| Masamune Kamachi, Kohei Kamada, Noriyuki Kanzaki, Tetsuya Yamamoto, Yuichi Hoshino, Atsuyuki Inui, Yuta Nakanishi, Kyohei Nishida, Kanto Nagai, Takehiko Matsushita, Ryosuke Kurod. Using deep learning for ultrasound images to diagnose chronic lateral ankle instability with high accuracy. Asia-Pacific journal of sports medicine, arthroscopy, rehabilitation and technology. vol 40. 2025-02-06. PMID:39911312. |
the purpose of this study is to calculate diagnostic accuracy of chronic lateral ankle instability (clai) from a confusion matrix using deep learning (dl) on ultrasound images of anterior talofibular ligament (atfl). |
2025-02-06 |
2025-02-08 |
Not clear |
| Masamune Kamachi, Kohei Kamada, Noriyuki Kanzaki, Tetsuya Yamamoto, Yuichi Hoshino, Atsuyuki Inui, Yuta Nakanishi, Kyohei Nishida, Kanto Nagai, Takehiko Matsushita, Ryosuke Kurod. Using deep learning for ultrasound images to diagnose chronic lateral ankle instability with high accuracy. Asia-Pacific journal of sports medicine, arthroscopy, rehabilitation and technology. vol 40. 2025-02-06. PMID:39911312. |
transfer learning was performed using 3 pretraining dl models, and the accuracy, precision, recall (sensitivity), specificity, f-measure, and the area under the receiver operating characteristic curve (auc) were calculated based on the confusion matrix. |
2025-02-06 |
2025-02-08 |
Not clear |
| Begonet Dale, Mihret Dananto, Bisrat Kifl. Dynamics of land use land cover change and its effect on urban heat island in Halaba Kulito Town. Heliyon. vol 11. issue 2. 2025-02-03. PMID:39897814. |
the evaluation of classification accuracy was checked using a confusion error matrix. |
2025-02-03 |
2025-02-05 |
Not clear |
| Diego A Ramos-Briceño, Alessandro Flammia-D'Aleo, Gerardo Fernández-López, Fhabián S Carrión-Nessi, David A Forero-Peñ. Deep learning-based malaria parasite detection: convolutional neural networks model for accurate species identification of Plasmodium falciparum and Plasmodium vivax. Scientific reports. vol 15. issue 1. 2025-01-31. PMID:39885248. |
we also generated a cross-validation confusion matrix that showed the results of five iterations, achieving 63,654 out of 64,126 true predictions. |
2025-01-31 |
2025-02-02 |
Not clear |