Results 201 to 210 of about 442,254 (313)

Predicting Postresection Colorectal Liver Metastases Recurrence Using Advanced Graph Neural Networks with Explainability and Causal Inference

Advanced Intelligent Systems, EarlyView.
This study introduces a framework that combines graph neural networks with causal inference to forecast recurrence and uncover the clinical and pathological factors driving it. It further provides interpretability, validates risk factors via counterfactual and interventional analyses, and offers evidence‐based insights for treatment planning ...
Jubair Ahmed, Md. Abdur Rahman, Mohaimenul Azam Khan Raiaan, Sami Azam   +3 more
wiley   +1 more source

Ocular myopathy

Indian Journal of Ophthalmology, 1979
Surya Rao SVM, Anjaneyulu C, Vengal Rao K   +2 more
doaj  

Road Accident Detection using SVM and Learning: A Comparative Study [PDF]

Fatima Qanouni, Hakim El Massari, Noreddine Gherabi, Maria El Badaoui   +3 more
openalex   +1 more source

Deep Evolving GMDH-SVM-Neural Network and its Learning for Data Mining Tasks [PDF]

, 2016
Galina Setlak, Yevgeniy Bodyanskiy, Olena Vynokurova, Iryna Pliss   +3 more
openalex   +1 more source

A Multi-Stage Hybrid Learning Model with Advanced Feature Fusion for Enhanced Prostate Cancer Classification. [PDF]

Diagnostics (Basel)
Abd El-Ghany S, Abd El-Aziz AA.
europepmc   +1 more source

RPSLearner: A Novel Approach Based on Random Projection and Deep Stacking Learning for Categorizing Non‐Small Cell Lung Cancer

Advanced Intelligent Systems, EarlyView.
Identifying non‐small cell lung cancer (NSCLC) subtypes is essential for precision cancer treatment. Conventional methods are laborious, or time‐consuming. To address these concerns, RPSLearner is proposed, which combines random projection and stacking ensemble learning for accurate NSCLC subtyping. RPSLearner outperforms state‐of‐the‐art approaches in
Xinchao Wu, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

White Blood Cell Classification Using SMOTE-SVM Method with Hybrid Feature Extraction and Image Segmentation Using Gaussian Mixture Model

Tata Sutabri, Celvine Adi Putra
openalex   +2 more sources

Modeling and experimental evaluation of biochar-mediated biofiltration for hydrogen sulfide capture from biogas. [PDF]

PLoS One
Zarei M, Bayati MR, Rohani A, Ebrahimi-Nik M, Hejazi B.   +4 more
europepmc   +1 more source

Three Synchronized, Miniaturized, Wireless Inertial Measurement Unit Sensors for Automated Gait and Balance Analysis System

Advanced Intelligent Systems, EarlyView.
This study presents a compact, three IMU wearable system that enables accurate motion capture and robust gait‐feature extraction, thereby supporting reliable machine learning‐based balance evaluation. Accurate assessment of balance is critical for fall prevention and targeted rehabilitation, particularly in older adults and individuals with ...
Seok‐Hoon Choi, Ki‐Hoon Kim, Heung Jin Park, Yuna Kim, Hyunjin Lee, Yu Bin Lee, Youn Joung Kang, Sungchul Huh, Min‐Ho Seo   +8 more
wiley   +1 more source

Manual annotation based sentiment analysis of user feedback in health and wellness app reviews. [PDF]

Sci Rep
Varghese L, Pai RR, Savitha G, Girisha S, Chetty N.   +4 more
europepmc   +1 more source