Advancing Intrauterine Adhesion Severity Prediction: Integrative Machine Learning Approach with Hysteroscopic Cold Knife System, Clinical Characteristics and Hematological Parameters DOI
Jie Yang,

Xiaodong zheng,

Jiajia Pan

и другие.

Computers in Biology and Medicine, Год журнала: 2024, Номер 177, С. 108599 - 108599

Опубликована: Май 13, 2024

Язык: Английский

Swarm intelligence enhanced machine learning model for predicting prognostic outcome in IgA Nephropathy patients with mild proteinuria DOI
Yaozhe Ying, Shuqing Ma, Luhui Wang

и другие.

Biomedical Signal Processing and Control, Год журнала: 2025, Номер 103, С. 107392 - 107392

Опубликована: Янв. 6, 2025

Язык: Английский

Процитировано

0
IoT-driven cancer prediction: Leveraging AI for early detection of protein structure variations DOI

B. KalaiSelvi,

P. Anandan,

Sathishkumar Veerappampalayam Easwaramoorthy

и другие.

Alexandria Engineering Journal, Год журнала: 2025, Номер 118, С. 21 - 35

Опубликована: Янв. 18, 2025

Язык: Английский

Процитировано

0
An Enhancing Diagnostic Pulmonary Diseases Diagnostic method for Differentiating Talaromycosis from Tuberculosis DOI Creative Commons
Ying Zhou, Phoebe Lin, Linghui Xia

и другие.

iScience, Год журнала: 2025, Номер 28(2), С. 111867 - 111867

Опубликована: Янв. 22, 2025

Язык: Английский

Процитировано

0
Cnidaria herd optimized fuzzy C-means clustering enabled deep learning model for lung nodule detection DOI Creative Commons
Roshan Rao, Agam Das Goswami

Frontiers in Physiology, Год журнала: 2025, Номер 16

Опубликована: Март 18, 2025

Lung nodule detection is a crucial task for diagnosis and lung cancer prevention. However, it can be extremely difficult to identify tiny nodules in medical images since pulmonary vary greatly shape, size, location. Further, the implemented methods have certain limitations including scalability, robustness, data availability, false rate. To overcome existing techniques, this research proposes Cnidaria Herd Optimization (CHO) algorithm-enabled Bi-directional Long Short-Term Memory (CHSTM) model effective detection. Furthermore, statistical texture descriptors extract significant features that aid improving accuracy. In addition, FC2R segmentation combines optimized fuzzy C-means clustering algorithm Resnet -101 deep learning approach effectively improves performance of model. Specifically, CHO modelled using combination induced movement strategy krill with time control mechanism cnidaria find optimal solution improve CHSTM model's performance. According experimental findings comparison between other established methods, + achieves 98.09% sensitivity, 97.71% accuracy, 97.03% specificity TP 80 utilizing LUNA-16 dataset. Utilizing LIDC/IDRI dataset, proposed attained high accuracy 97.59%, sensitivity 96.77%, 98.41% k-fold validation outperforming techniques. The detects minimum loss better

Язык: Английский

Процитировано

0
Mastitis diagnosis with machine learning algorithms DOI Creative Commons
Adnan Kalkan, Mehmet Tepeli, Aslı Göde

и другие.

Neural Computing and Applications, Год журнала: 2025, Номер unknown

Опубликована: Март 29, 2025

Язык: Английский

Процитировано

0
Generalizing fuzzy k-nearest neighbor classifier using an OWA operator with a RIM quantifier DOI Creative Commons
Mahinda Mailagaha Kumbure, Pasi Luukka

Expert Systems with Applications, Год журнала: 2025, Номер unknown, С. 127795 - 127795

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0
Enhancing gastric cancer early detection: A multi-verse optimized feature selection model with crossover-information feedback DOI
Jiejun Lin,

Fangchao Zhu,

Xiaoyu Dong

и другие.

Computers in Biology and Medicine, Год журнала: 2024, Номер 175, С. 108535 - 108535

Опубликована: Апрель 29, 2024

Язык: Английский

Процитировано

0
Advancing Intrauterine Adhesion Severity Prediction: Integrative Machine Learning Approach with Hysteroscopic Cold Knife System, Clinical Characteristics and Hematological Parameters DOI
Jie Yang,

Xiaodong zheng,

Jiajia Pan

и другие.

Computers in Biology and Medicine, Год журнала: 2024, Номер 177, С. 108599 - 108599

Опубликована: Май 13, 2024

Язык: Английский

Процитировано

0