| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| 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 |
| Anju Panwar, Geeta Biban, Renu Chugh, Asifa Tassaddiq, Rabab Alharb. An efficient image encryption model based on 6D hyperchaotic system and symmetric matrix for color and gray images. Heliyon. vol 10. issue 11. 2024-06-24. PMID:38912513. |
we utilize the 6d hyperchaotic map in the confusion stage to change the pixel location and the symmetric matrix is used for changing the pixel value in the diffusion step for each rgb channel extraction from plain or original image. |
2024-06-24 |
2024-06-26 |
Not clear |
| Yong Wang, Yaoyao Han, An Luo, Shenghua Xu, Jian Chen, Wangwang Li. Site selection and prediction of urban emergency shelter based on VGAE-RF model. Scientific reports. vol 14. issue 1. 2024-06-22. PMID:38909046. |
this study takes beijing, china, as the experimental area and evaluates the reliability of different model methods using a confusion matrix, receiver operating characteristic (roc) curve, and imbalance index of spatial distribution as evaluation indicators. |
2024-06-22 |
2024-06-25 |
Not clear |
| Muhammet Burak Yavuz, Nichal Sali, Sevda Kurt Bayrakdar, Cemre Ekşi, Büşra Seda İmamoğlu, İbrahim Şevki Bayrakdar, Özer Çelik, Kaan Orha. Classification of Periapical and Bitewing Radiographs as Periodontally Healthy or Diseased by Deep Learning Algorithms. Cureus. vol 16. issue 5. 2024-06-19. PMID:38887333. |
the success of the developed algorithm was evaluated using the confusion matrix method. |
2024-06-19 |
2024-06-21 |
Not clear |
| Dania Daye, Regina Parker, Satvik Tripathi, Meredith Cox, Sebastian Brito Orama, Leonardo Valentin, Christopher P Bridge, Raul N Uppo. CASCADE: Context-Aware Data-Driven AI for Streamlined Multidisciplinary Tumor Board Recommendations in Oncology. Cancers. vol 16. issue 11. 2024-06-19. PMID:38893096. |
the algorithm's performance was assessed using confusion matrix metrics and the area under the receiver operating characteristics (roc) curve. |
2024-06-19 |
2024-06-21 |
Not clear |
| Chu-Kuang Chou, Riya Karmakar, Yu-Ming Tsao, Lim Wei Jie, Arvind Mukundan, Chien-Wei Huang, Tsung-Hsien Chen, Chau-Yuan Ko, Hsiang-Chen Wan. Evaluation of Spectrum-Aided Visual Enhancer (SAVE) in Esophageal Cancer Detection Using YOLO Frameworks. Diagnostics (Basel, Switzerland). vol 14. issue 11. 2024-06-19. PMID:38893655. |
the model's performance was evaluated using five essential metrics: precision, recall, f1-score, map, and the confusion matrix. |
2024-06-19 |
2024-06-21 |
Not clear |
| Elana R Hobkirk, Sean D Twis. Domestication constrains the ability of dogs to convey emotions via facial expressions in comparison to their wolf ancestors. Scientific reports. vol 14. issue 1. 2024-05-07. PMID:38714729. |
the resulting confusion matrix demonstrates that specific combinations of facial movements predict nine distinct affective states in wolves; the first assessment of this many affective facial expressions in wolves. |
2024-05-07 |
2024-05-27 |
dog |
| Tzu-Yun Yen, Chan-Shien Ho, Yu-Cheng Pei, Tzuo-Yau Fan, Szu-Yi Chang, Chang-Fu Kuo, Yueh-Peng Che. Predicting osteoporosis from kidney-ureter-bladder radiographs utilizing deep convolutional neural networks. Bone. 2024-04-27. PMID:38677502. |
to evaluate the model's performance, we computed a confusion matrix and evaluated the sensitivity, specificity, accuracy, precision, positive predictive value, negative predictive value, f1 score, and area under the receiver operating curve (auroc). |
2024-04-27 |
2024-04-30 |
Not clear |
| Bahare Andayeshgar, Fardin Abdali-Mohammadi, Majid Sepahvand, Afshin Almasi, Nader Salar. Arrhythmia detection by the graph convolution network and a proposed structure for communication between cardiac leads. BMC medical research methodology. vol 24. issue 1. 2024-04-27. PMID:38678178. |
to evaluate the performance of the proposed new network, sensitivity, precision, specificity, accuracy, and confusion matrix indices were used. |
2024-04-27 |
2024-04-30 |
Not clear |
| Tanzim Hossain, F M Javed Mehedi Shamrat, Xujuan Zhou, Imran Mahmud, Md Sakib Ali Mazumder, Sharmin Sharmin, Raj Gururaja. Development of a multi-fusion convolutional neural network (MF-CNN) for enhanced gastrointestinal disease diagnosis in endoscopy image analysis. PeerJ. Computer science. vol 10. 2024-04-26. PMID:38660192. |
the findings of the p-r curve analysis and confusion matrix further confirmed the robust classification performance of the mf-cnn. |
2024-04-26 |
2024-04-28 |
Not clear |
| Turki Khaled Salem, Wai Kit Wong, Thu Soe Min, Eng Kiong Won. One- and Five-Ringgit Malaysia banknotes reader with counterfeit detection for visually impaired person using backlight mechanism and image processing techniques. F1000Research. vol 10. 2024-04-15. PMID:38618192. |
confusion matrix is further employed to study the performance of the banknote reader, in terms of true positive, true negative, false positive and false negative. |
2024-04-15 |
2024-04-17 |
Not clear |
| Sébastien J J Guesné, Thierry Hanser, Stéphane Werner, Samuel Boobier, Shaylyn Scot. Mind your prevalence! Journal of cheminformatics. vol 16. issue 1. 2024-04-15. PMID:38622648. |
therefore, after describing the relevant literature, this manuscript will first formally define a confusion matrix, sensitivity and specificity and then present, with synthetic data, the danger of comparing performance metrics under nonconstant prevalence. |
2024-04-15 |
2024-04-18 |
Not clear |
| Sébastien J J Guesné, Thierry Hanser, Stéphane Werner, Samuel Boobier, Shaylyn Scot. Mind your prevalence! Journal of cheminformatics. vol 16. issue 1. 2024-04-15. PMID:38622648. |
in contrast to prior literature, it introduces the derived confusion matrix to express metrics as functions of sensitivity, specificity and prevalence without needing additional coefficients. |
2024-04-15 |
2024-04-18 |
Not clear |
| Piotr Lacki, Anna Derlatka, Wojciech Więckowski, Janina Adamu. Development of FSW Process Parameters for Lap Joints Made of Thin 7075 Aluminum Alloy Sheets. Materials (Basel, Switzerland). vol 17. issue 3. 2024-04-09. PMID:38591539. |
the quality of the validation set for the regression network was approximately 93.6%, while the errors for the confusion matrix of the test set never exceeded 6%. |
2024-04-09 |
2024-04-11 |
Not clear |
| Javed Mallick, Meshel Alkahtani, Hoang Thi Hang, Chander Kumar Sing. Game-theoretic optimization of landslide susceptibility mapping: a comparative study between Bayesian-optimized basic neural network and new generation neural network models. Environmental science and pollution research international. 2024-04-09. PMID:38592629. |
the lsm models have been validated using the receiver operating characteristics curve, confusion matrix, and other twelve error matrices. |
2024-04-09 |
2024-04-11 |
Not clear |
| Rômullo Oliveira Louzada, Ivan Bergier, Michael M McGlue, Fabio de Oliveira Roque, Giliane Rasbold, Leandro Domingos-Luz, Edward Lo, Mario Luis Assin. Fluvial avulsions influence soil fertility in the Pantanal wetlands (Brazil). The Science of the total environment. 2024-04-03. PMID:38569965. |
the macrophyte map's overall accuracy (oa) was analyzed by a confusion matrix using the sentinel 2 imagery. |
2024-04-03 |
2024-04-06 |
Not clear |
| Yan Zhao, Ke-Le Chen, Xin-Yu Shen, Ming-Kang Li, Yong-Jing Wan, Cheng Yang, Ru-Jia Yu, Yi-Tao Long, Feng Yan, Yi-Lun Yin. HFM-Tracker: a cell tracking algorithm based on hybrid feature matching. The Analyst. 2024-04-02. PMID:38563459. |
it combines contour attention (ca) and adaptive confusion matrix (acm) modules to accurately capture cell contours in each image and track the dynamic behaviors of migrating cells in the field of view. |
2024-04-02 |
2024-04-04 |
Not clear |
| Kerong Yuan, Xiaofeng Zhang, Qian Yang, Xuesong Deng, Zhe Deng, Xiangyun Liao, Weixin S. Risk prediction and analysis of gallbladder polyps with deep neural network. Computer assisted surgery (Abingdon, England). vol 29. issue 1. 2024-03-23. PMID:38520294. |
a normalized confusion matrix, pr, and roc curve were used to evaluate the performance of the model. |
2024-03-23 |
2024-03-26 |
Not clear |
| Rajib Kumar Halder, Mohammed Nasir Uddin, Md Ashraf Uddin, Sunil Aryal, Sajeeb Saha, Rakib Hossen, Sabbir Ahmed, Mohammad Abu Tareq Rony, Mosammat Farida Akte. ML-CKDP: Machine learning-based chronic kidney disease prediction with smart web application. Journal of pathology informatics. vol 15. 2024-03-21. PMID:38510072. |
the effectiveness of the models is assessed by measuring their accuracy, analyzing confusion matrix statistics, and calculating the area under the curve (auc) specifically for the classification of positive cases. |
2024-03-21 |
2024-03-23 |
Not clear |