| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Wantao Liang, Yanyuan Bai, Hua Zhang, Yan Mo, Xiufang Li, Junming Huang, Yangliu Lei, Fangping Gao, Mengmeng Dong, Shan Li, Juan Lian. Identification and Analysis of Potential Biomarkers Associated with Neutrophil Extracellular Traps in Cervicitis. Biochemical genetics. 2024-10-17. PMID:39419909. |
we then performed artificial neural network (ann) and nomogram construction, confusion matrix, receiver operating characteristic (roc), gene set enrichment analysis (gsea), and immune cell infiltration analysis. |
2024-10-17 |
2024-10-20 |
Not clear |
| Wantao Liang, Yanyuan Bai, Hua Zhang, Yan Mo, Xiufang Li, Junming Huang, Yangliu Lei, Fangping Gao, Mengmeng Dong, Shan Li, Juan Lian. Identification and Analysis of Potential Biomarkers Associated with Neutrophil Extracellular Traps in Cervicitis. Biochemical genetics. 2024-10-17. PMID:39419909. |
confusion matrix and roc curve evaluation ann model showed high accuracy and stability. |
2024-10-17 |
2024-10-20 |
Not clear |
| Fausto David Cortes-Rojas, Yazmín Mariela Hernández-Rodríguez, Rafael Bayareh-Mancilla, Oscar Eduardo Cigarroa-Mayorg. An Artificial Intelligence-Based Tool for Enhancing Pectoral Muscle Segmentation in Mammograms: Addressing Class Imbalance and Validation Challenges in Automated Breast Cancer Diagnosis. Diagnostics (Basel, Switzerland). vol 14. issue 19. 2024-10-16. PMID:39410548. |
the effectiveness of the model was assessed through a confusion matrix and performance metrics, highlighting an average dice coefficient of 0.98 and a jaccard index of 0.96. |
2024-10-16 |
2024-10-18 |
Not clear |
| Niaz Muhammad Shahani, Xigui Zheng, Xin Wei, Jiang Hongwe. Hybrid machine learning approach for accurate prediction of the drilling rock index. Scientific reports. vol 14. issue 1. 2024-10-14. PMID:39402133. |
furthermore, the gwo-xgboost model outperformed the other models in terms of precision, recall, f1-score, and multi-class confusion matrix results for each dri class. |
2024-10-14 |
2024-10-17 |
Not clear |
| Lama K Alsaykhan, Mashael S Maash. A hybrid detection model for acute lymphocytic leukemia using support vector machine and particle swarm optimization (SVM-PSO). Scientific reports. vol 14. issue 1. 2024-10-08. PMID:39379598. |
the results indicate that our hybrid svm-pso model has high accuracy, outperforming stand-alone algorithms and demonstrating superior performance, an enhanced confusion matrix, and a higher detection rate. |
2024-10-08 |
2024-10-11 |
Not clear |
| Shumaila Batool, Saima Zaina. A comparative performance assessment of artificial intelligence based classifiers and optimized feature reduction technique for breast cancer diagnosis. Computers in biology and medicine. vol 183. 2024-10-05. PMID:39368313. |
comprehensive insights into the efficacy of these approaches for breast cancer prognosis are provided by the performance assessment that is accomplished using the confusion matrix, receiver operating characteristic (roc) curves and parallel coordinate plots. |
2024-10-05 |
2024-10-08 |
Not clear |
| Lan Ma, Hanqiao Zhang, Xue Jiang, Zhijia Hou, Dongmei L. OCT Radiomic Features Used for the Assessment of Activity of Thyroid Eye Disease. The Journal of craniofacial surgery. 2024-10-03. PMID:39361327. |
for the confusion matrix, the choroid-based svm model had more balanced parameters compared with the retina-based svm model. |
2024-10-03 |
2024-10-05 |
Not clear |
| Houcemeddine Turki, Bonaventure F P Dossou, Chris Chinenye Emezue, Abraham Toluwase Owodunni, Mohamed Ali Hadj Taieb, Mohamed Ben Aouicha, Hanen Ben Hassen, Afif Masmoud. MeSH2Matrix: combining MeSH keywords and machine learning for biomedical relation classification based on PubMed. Journal of biomedical semantics. vol 15. issue 1. 2024-10-02. PMID:39354632. |
finally, we provide confusion matrix and extensive feature analyses to better examine the relationship between the mesh qualifiers and the biomedical relations being classified. |
2024-10-02 |
2024-10-04 |
human |
| Nilgün Akgül, Cemile Yilmaz, Elif Bilgir, Özer Çelik, Oğuzhan Baydar, İbrahim Şevki Bayrakda. A YOLO-V5 approach for the evaluation of normal fillings and overhanging fillings: an artificial intelligence study. Brazilian oral research. vol 38. 2024-10-02. PMID:39356905. |
the model's performance was assessed through a confusion matrix and sensitivity, precision, and f1 score values of the model were calculated. |
2024-10-02 |
2024-10-05 |
Not clear |
| Muhammad Ismail, Maria Rasheed, Yongjin Park, Sohyeon Lee, Chandreswar Mahata, Wonbo Shim, Sungjun Ki. Enhanced analog switching and neuromorphic performance of ZnO-based memristors with indium tin oxide electrodes for high-accuracy pattern recognition. The Journal of chemical physics. vol 161. issue 13. 2024-10-01. PMID:39351944. |
furthermore, a 90.84% accuracy was achieved using a convolutional neural network architecture for modified national institute of standards and technology pattern categorization, as demonstrated by the confusion matrix. |
2024-10-01 |
2024-10-03 |
Not clear |
| Alberto Sánchez-Lite, Jose Luis Fuentes-Bargues, Iván Iglesias, Cristina González-Gay. Proposal of a workplace classification model for heart attack accidents from the field of occupational safety and health engineering. Heliyon. vol 10. issue 18. 2024-09-30. PMID:39347428. |
this model is assumed to be a compromise between the confusion matrix values of each model. |
2024-09-30 |
2024-10-02 |
human |
| Jan Damoiseaux, Hetty Bontkes, Leontine Mulde. Cutting edge confusion about cut-off settings in autoimmune diagnostics. Autoimmunity reviews. 2024-09-30. PMID:39349268. |
in this review article distinct ways to establish cut-off values will be described and discussed in relation to some disease criteria in order to increase the awareness of the confusion matrix of cut-off values and, as a consequence, the implications for test result interpretation. |
2024-09-30 |
2024-10-03 |
Not clear |
| Anna Filipowska, Wojciech Filipowski, Paweł Raif, Marcin Pieniążek, Julia Bodak, Piotr Ferst, Kamil Pilarski, Szymon Sieciński, Rafał Jan Doniec, Julia Mieszczanin, Emilia Skwarek, Katarzyna Bryzik, Maciej Henkel, Marcin Grzegorze. Machine Learning-Based Gesture Recognition Glove: Design and Implementation. Sensors (Basel, Switzerland). vol 24. issue 18. 2024-09-28. PMID:39338902. |
the developed glove effectively captures dynamic gestures for game control, achieving high classification accuracy, precision, and recall, as evidenced by the confusion matrix and training metrics. |
2024-09-28 |
2024-10-01 |
human |
| Faisal Alshomran. A Unified Pipeline for Simultaneous Brain Tumor Classification and Segmentation Using Fine-Tuned CNN and Residual UNet Architecture. Life (Basel, Switzerland). vol 14. issue 9. 2024-09-28. PMID:39337926. |
for the classification task, the metrics involved are loss, accuracy, confusion matrix, and classification report, while for the segmentation task, the metrics used are loss, accuracy, dice coefficient, intersection over union, and jaccard distance. |
2024-09-28 |
2024-10-01 |
Not clear |
| André Levi Viana Pereira, Luciane Silva Martello, Jéssica Caetano Dias Campos, Alex Vinicius da Silva Rodrigues, Gabriel Pagin de Carvalho Nunes Oliveira, Rafael Vieira de Sous. Predictive models for heat stress assessment in Holstein dairy heifers using infrared thermography and machine learning. Tropical animal health and production. vol 56. issue 8. 2024-09-26. PMID:39325295. |
classifier models for heat stress were evaluated using the confusion matrix metrics and compared to the traditional method based on temperature and humidity index. |
2024-09-26 |
2024-09-28 |
cattle |
| Lehel Dénes-Fazakas, Barbara Simon, Ádám Hartvég, László Szilágyi, Levente Kovács, Amir Mosavi, György Eigne. Personalized food consumption detection with deep learning and Inertial Measurement Unit sensor. Computers in biology and medicine. vol 182. 2024-09-26. PMID:39326266. |
additionally, the confusion matrix displayed a difference of only 6 s, further validating the model's accuracy. |
2024-09-26 |
2024-09-29 |
Not clear |
| Thabatta Moreira Alves de Araujo, Carlos André de Mattos Teixeira, Carlos Renato Lisboa Francê. Enhancing geotechnical damage detection with deep learning: a convolutional neural network approach. PeerJ. Computer science. vol 10. 2024-09-24. PMID:39314724. |
an auc metric score of 0.99 from the receiver operator characteristic (roc) curve and matrix confusion with a testing dataset show satisfactory results. |
2024-09-24 |
2024-09-26 |
human |
| Pradeep Kumar Yadalam, Ramya R, Raghavendra Vamsi Anegund. Gradient Boosting Prediction of Overlapping Genes From Weighted Co-expression and Differential Gene Expression Analysis of Wnt Pathway: An Artificial Intelligence-Based Bioinformatics Study. Cureus. vol 16. issue 8. 2024-09-19. PMID:39295699. |
the confusion matrix displays 88 actual and predicted cases. |
2024-09-19 |
2024-09-21 |
Not clear |
| Ziheng Zhao, Elmi Bin Abu Bakar, Norizham Bin Abdul Razak, Mohammad Nishat Akhta. Corrosion image classification method based on EfficientNetV2. Heliyon. vol 10. issue 17. 2024-09-17. PMID:39286174. |
the proposed model implementation initially uses data augmentation to enhance the dataset and employs different sizes of efficientnetv2 for training, evaluated using confusion matrix, roc curve, and the values of precision, recall, and f1-score. |
2024-09-17 |
2024-09-19 |
Not clear |
| Murat Kayabekir, Mete Yağanoğl. SPINDILOMETER: a model describing sleep spindles on EEG signals for polysomnography. Physical and engineering sciences in medicine. vol 47. issue 3. 2024-09-17. PMID:38819611. |
confusion matrix (accuracy (94.61%), sensitivity (94.61%), specificity (96.60%)), and roc analysis (auc: 0.95) were performed to prove the adequacy of spindilometer (p = 0.000). |
2024-09-17 |
2024-09-19 |
human |