Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
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 |
K Nishanth Rao, Osamah Ibrahim Khalaf, V Krishnasree, Aruru Sai Kumar, Deema Mohammed Alsekait, S Siva Priyanka, Ahmed Saleh Alattas, Diaa Salama AbdElminaa. An efficient brain tumor detection and classification using pre-trained convolutional neural network models. Heliyon. vol 10. issue 17. 2024-09-16. PMID:39281484. |
the effectiveness of our proposed cnn model is evaluated through various metrics, including validation loss, confusion matrix, and overall loss. |
2024-09-16 |
2024-09-19 |
Not clear |
Mikkel Meyer Andersen, Marie-Louise Kampmann, Alberte Honoré Jepsen, Niels Morling, Poul Svante Eriksen, Claus Børsting, Jeppe Dyrberg Anderse. Shotgun DNA sequencing for human identification: Dynamic SNP selection and likelihood ratio calculations accounting for errors. Forensic science international. Genetics. vol 74. 2024-09-13. PMID:39270548. |
results from replicated shotgun sequencing of buccal swabs (high-quality samples) and hair samples (low-quality samples) were arranged in a genotype-call confusion matrix to estimate the calling error probability by maximum likelihood and bayesian inference. |
2024-09-13 |
2024-09-16 |
human |
Parvathaneni Naga Srinivasu, Shakeel Ahmed, Mahmoud Hassaballah, Naif Almusalla. An explainable Artificial Intelligence software system for predicting diabetes. Heliyon. vol 10. issue 16. 2024-09-10. PMID:39253141. |
the model's effectiveness is evaluated by analyzing the performance of the proposed model and several evolutionary metrics used in the confusion matrix. |
2024-09-10 |
2024-09-13 |
human |
Sohee Kang, Byungeun Shon, Eun Young Park, Sungmoon Jeong, Eun-Kyong Ki. Diagnostic accuracy of dental caries detection using ensemble techniques in deep learning with intraoral camera images. PloS one. vol 19. issue 9. 2024-09-06. PMID:39241044. |
the confusion matrix, area under the receiver operating characteristic curve (auroc), and average precision (ap) were evaluated for performance analysis. |
2024-09-06 |
2024-09-09 |
human |
Khadijeh Moulaei, Mohammad Mahboubi, Sasan Ghorbani Kalkhajeh, Hadi Kazemi-Arpanah. Prediction of childbearing tendency in women on the verge of marriage using machine learning techniques. Scientific reports. vol 14. issue 1. 2024-09-06. PMID:39242645. |
the performance of these algorithms was assessed using metrics derived from the confusion matrix. |
2024-09-06 |
2024-09-10 |
human |