| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| George Gabriel Mkumbi, Matobogolo Boa. Prevalence of poor glycemic control and the monitoring utility of glycated albumin among diabetic patients attending clinic in tertiary hospitals in Dodoma, Tanzania: A cross-sectional study protocol. PloS one. vol 19. issue 9. 2024-09-04. PMID:39231139. |
the analysis will be computed with spss version 28.0, and a predictor variable, p<0.05, will be regarded as statistically significant, with the utility of ga determined by plotting the area under the roc curve and the confusion matrix. |
2024-09-04 |
2024-09-08 |
Not clear |
| Haihan Zhang, Kai Zhang, Jinyuan Wang, Shicheng Yu, Zhixi Li, Shiyi Yin, Jingyuan Zhu, Wenbin We. Quickly diagnosing Bietti crystalline dystrophy with deep learning. iScience. vol 27. issue 9. 2024-09-02. PMID:39220263. |
dl models resnext, wide resnet, and resnest were developed, and model performance was evaluated using accuracy and confusion matrix. |
2024-09-02 |
2024-09-04 |
Not clear |
| Jie Ji, Jirui Li, Weifeng Zhang, Yiqun Geng, Yuejiao Dong, Jiexiong Huang, Liangli Hon. Automated Lung and Colon Cancer Classification Using Histopathological Images. Biomedical engineering and computational biology. vol 15. 2024-08-19. PMID:39156985. |
the model performance was evaluated using accuracy, kappa, confusion matrix, precision, recall, and f1. |
2024-08-19 |
2024-08-21 |
Not clear |
| Neder Karmous, Mohamed Ould-Elhassen Aoueileyine, Manel Abdelkader, Lamia Romdhani, Neji Yousse. Software-Defined-Networking-Based One-versus-Rest Strategy for Detecting and Mitigating Distributed Denial-of-Service Attacks in Smart Home Internet of Things Devices. Sensors (Basel, Switzerland). vol 24. issue 15. 2024-08-10. PMID:39124069. |
based on the performance metrics, such as confusion matrix, training time, prediction time, accuracy, and area under the receiver operating characteristic curve (auc-roc), it was established that sdn-ml-iot, when applied to rf, outperforms other ml algorithms, as well as similar approaches related to our work. |
2024-08-10 |
2024-08-13 |
Not clear |
| Muhammad Mujahid, Amjad Rehman Khan, Mahyar Kolivand, Faten S Alamri, Tanzila Saba, Saeed Ali Omer Baha. Breast histopathological imaging using ultra-fast fluorescence confocal microscopy to identify cancer lesions at early stage. Microscopy research and technique. 2024-08-10. PMID:39126401. |
the confusion matrix results show that the idc positive (+) class achieved 97.44% accuracy and 2.56% inaccurate results, while the idc negative (-) class achieved 98.73% accuracy and 1.27% inaccurate results. |
2024-08-10 |
2024-08-13 |
Not clear |
| Heedong Sim, Seok-Jo Yan. Developing Topics. Alzheimer's & dementia : the journal of the Alzheimer's Association. vol 19 Suppl 24. 2024-08-09. PMID:39120921. |
classification performances were measured to validate model such as accuracy, confusion matrix, auc(area under curve), f1 score. |
2024-08-09 |
2024-08-12 |
human |
| Chittathuru Himala Praharsha, Alwin Poulos. CBAM VGG16: An efficient driver distraction classification using CBAM embedded VGG16 architecture. Computers in biology and medicine. vol 180. 2024-08-02. PMID:39094328. |
the cbam vgg16 architecture also compared the driver distraction classification performance with densenet121, xception, moblienetv2, inceptionv3, and vgg16 architectures based on the proposed model's accuracy, loss, precision, f1 score, recall, and confusion matrix. |
2024-08-02 |
2024-08-06 |
human |
| Shiqiang Yang, Wu Yang, Tao Cui, Min Zhan. Prediction and practical application of bauxite mineralization in Wuzhengdao area, Guizhou, China. PloS one. vol 19. issue 7. 2024-07-31. PMID:39083534. |
this study used a confusion matrix, receiver operating characteristic (roc) curve,and prediction efficiency curve to evaluate the prediction results of each machine algorithm. |
2024-07-31 |
2024-08-03 |
Not clear |
| Yijin Wang, Jianjun Zhang, Jincan Yuan, Qingyuan Li, Shiyu Zhang, Chenfeng Wang, Haibing Wang, Liang Wang, Bangke Zhang, Can Wang, Yuling Sun, Xuhua L. Application of a novel nested ensemble algorithm in predicting motor function recovery in patients with traumatic cervical spinal cord injury. Scientific reports. vol 14. issue 1. 2024-07-29. PMID:39075134. |
the model performance was evaluated using precision, recall, accuracy, f1 score, and confusion matrix. |
2024-07-29 |
2024-08-02 |
Not clear |
| Yijin Wang, Jianjun Zhang, Jincan Yuan, Qingyuan Li, Shiyu Zhang, Chenfeng Wang, Haibing Wang, Liang Wang, Bangke Zhang, Can Wang, Yuling Sun, Xuhua L. Application of a novel nested ensemble algorithm in predicting motor function recovery in patients with traumatic cervical spinal cord injury. Scientific reports. vol 14. issue 1. 2024-07-29. PMID:39075134. |
the confusion matrix showed few false-negative rate, which has crucial practical implications for prognostic prediction of tcsci. |
2024-07-29 |
2024-08-02 |
Not clear |
| Marco Dubbini, Maria Belluzzo, Villiam Zanni Bertelli, Alessandro Pirola, Antonella Tornato, Cinzia Alessandrin. The Identification of Manure Spreading on Bare Soil through the Development of Multispectral Indices from Sentinel-2 Data: The Emilia-Romagna Region (Italy) Case Study. Sensors (Basel, Switzerland). vol 24. issue 14. 2024-07-27. PMID:39066085. |
a series of ground truth points were also collected for assessing accuracy by filling in the confusion matrix. |
2024-07-27 |
2024-07-29 |
Not clear |
| Patrik Gilley, Ke Zhang, Neman Abdoli, Youkabed Sadri, Laura Adhikari, Kar-Ming Fung, Yuchen Qi. Utilizing a Pathomics Biomarker to Predict the Effectiveness of Bevacizumab in Ovarian Cancer Treatment. Bioengineering (Basel, Switzerland). vol 11. issue 7. 2024-07-27. PMID:39061760. |
when examining the best model's confusion matrix, 37 and 25 cases were correctly predicted as responders and non-responders, respectively, achieving an overall accuracy of 0.7848. |
2024-07-27 |
2024-07-29 |
Not clear |
| Shubhangini Chatterjee, Sankari Malaiappan, Pradeep Kumar Yadala. Artificial Intelligence (AI)-Based Detection of Anaemia Using the Clinical Appearance of the Gingiva. Cureus. vol 16. issue 6. 2024-07-23. PMID:39040750. |
accuracy was measured using a confusion matrix and receiver operating characteristic (roc) curve. |
2024-07-23 |
2024-07-25 |
Not clear |
| Umair Arif, Chunxia Zhang, Muhammad Waqas Chaudhary, Hafiza Hanan Khali. Optimizing lung cancer prediction: leveraging Kernel PCA with dendritic neural models. Computer methods in biomechanics and biomedical engineering. 2024-07-13. PMID:39001715. |
crucial features are identified, and the proposed method's effectiveness is evaluated using metrics such as accuracy, precision, f1 score, sensitivity, specificity, and confusion matrix against other ml models. |
2024-07-13 |
2024-07-16 |
Not clear |
| Muhammad Bisri Musthafa, Samsul Huda, Yuta Kodera, Md Arshad Ali, Shunsuke Araki, Jedidah Mwaura, Yasuyuki Nogam. Optimizing IoT Intrusion Detection Using Balanced Class Distribution, Feature Selection, and Ensemble Machine Learning Techniques. Sensors (Basel, Switzerland). vol 24. issue 13. 2024-07-13. PMID:39001072. |
the results of the performance and the confusion matrix show that the lstm stacking with analysis of variance (anova) feature selection model is a superior model for classifying network attacks. |
2024-07-13 |
2024-07-15 |
Not clear |
| Xin Bi, Tian Zhan. Pedagogical sentiment analysis based on the BERT-CNN-BiGRU-attention model in the context of intercultural communication barriers. PeerJ. Computer science. vol 10. 2024-07-10. PMID:38983236. |
the confusion matrix analysis reveals a minimal classification error rate for this model. |
2024-07-10 |
2024-07-12 |
Not clear |
| Aylin Bayındır Gümüş, Murat Açık, Sevinç Eşer Durma. Health Star Rating of Nonalcoholic, Packaged, and Ready-to-Drink Beverages in Türkiye: A Decision Tree Model Study. Preventive nutrition and food science. vol 29. issue 2. 2024-07-08. PMID:38974584. |
moreover, confusion matrix tests were used to test the model's accuracy. |
2024-07-08 |
2024-07-11 |
Not clear |
| Adriel Abraham, Rejath Jose, Nabeel Farooqui, Jonathan Mayer, Jawad Ahmad, Zain Satti, Thomas J Jacob, Faiz Syed, Milan Tom. The Role of ArtificiaI Intelligence in Brain Tumor Diagnosis: An Evaluation of a Machine Learning Model. Cureus. vol 16. issue 6. 2024-07-02. PMID:38952601. |
these metrics were generated from a confusion matrix analysis and performance graphs. |
2024-07-02 |
2024-07-04 |
Not clear |
| Adriel Abraham, Rejath Jose, Nabeel Farooqui, Jonathan Mayer, Jawad Ahmad, Zain Satti, Thomas J Jacob, Faiz Syed, Milan Tom. The Role of ArtificiaI Intelligence in Brain Tumor Diagnosis: An Evaluation of a Machine Learning Model. Cureus. vol 16. issue 6. 2024-07-02. PMID:38952601. |
a confusion matrix is a table that is often used to describe the performance of a classification model. |
2024-07-02 |
2024-07-04 |
Not clear |
| Azadeh Alizargar, Yang-Lang Chang, Mohammad Alkhaleefah, Tan-Hsu Ta. Precision Non-Alcoholic Fatty Liver Disease (NAFLD) Diagnosis: Leveraging Ensemble Machine Learning and Gender Insights for Cost-Effective Detection. Bioengineering (Basel, Switzerland). vol 11. issue 6. 2024-06-27. PMID:38927836. |
various evaluation metrics including the f1 score, precision, accuracy, recall, confusion matrix, the mean absolute error (mae), receiver operating characteristics (roc), and area under the curve (auc) were employed to assess the suitability of each technique for disease prediction. |
2024-06-27 |
2024-06-29 |
Not clear |