Results 221 to 230 of about 303,008 (292)
Hybrid Deep Learning Framework for Sleep Quality Prediction: Integrating Metaheuristic Optimization and Statistical Features. [PDF]
Lasisi A +12 more
europepmc +1 more source
This work advances landslide susceptibility mapping by incorporating short‐term trigger data with landscape susceptibility mapping. We also examine the importance of downsampling, watershed delineation and geospatial correlations in evaluating outcomes.
Kanta Kotsugi +3 more
wiley +1 more source
Radiomic features and carotid stenosis in periodontitis a two stage bootstrap and multimodal machine learning study. [PDF]
Zhang M +10 more
europepmc +1 more source
With the advantages of high‐resolution imaging, efficient image acquisition, intraoperative real‐time detection, and radiation‐free and noninvasive characteristics, optical coherence tomography (OCT) provides accurate diagnosis and effective intraoperative guidance for the minimally invasive diagnosis and treatment of central nervous system (CNS ...
Jiuhong Li +10 more
wiley +1 more source
Early Type 2 diabetes risk prediction using explainable machine learning in a two-stage approach. [PDF]
Majyambere S +3 more
europepmc +1 more source
Abstract Tumor‐educated platelets (TEPs) are emerging as a compelling frontier in liquid biopsy, functioning as dynamic, systemic sensors that sequester and process tumor‐derived biomolecules. This interaction imprints an integrated molecular signature of malignancy—spanning the transcriptome, proteome, lipidome, and crucially, the captured genome ...
Whi‐An Kwon +5 more
wiley +1 more source
Ensemble machine learning strategies for mineral prospectivity mapping under data scarcity. [PDF]
Amirajlo P +3 more
europepmc +1 more source
ABSTRACT This study aims to classify pivotal fintech innovations and explore the prospects and pitfalls associated with emerging fintech services extensively discussed in the literature. We conducted a multistage systematic review of research published on fintech over the past decade from a technological perspective. Using the Preferred Reporting Items
Muhammad Imran Qureshi, Nohman Khan
wiley +1 more source
The application of machine learning for infant cries classification and pathological cries detection: A systematic review. [PDF]
Sirithepmontree S +2 more
europepmc +1 more source
ABSTRACT High‐grade serous ovarian cancer (HGSOC) is the most common and lethal histological subtype of ovarian cancer. This study aimed to identify peritoneal metastasis‐associated biomarkers of HGSOC to provide directions for subsequent treatment. Transcriptome data were extracted from the GEO database and literature. Differential expression analysis,
Jing Zhu +8 more
wiley +1 more source

