Latest AI and machine learning research in intensivists for healthcare professionals.
The intelligent data-driven screening of pathological voice signals is a non-invasive and real-time ...
The integrative method approaches are continuously evolving to provide accurate insights from the da...
Breast cancer patients often have recurrence and metastasis after surgery. Predicting the risk of re...
Resonance analysis and structural optimization of multi-channel selective fiber couplers currently r...
Surface-enhanced Raman scattering (SERS) spectroscopy analysis has long been the central task of nan...
We introduce the R-package learnMET, developed as a flexible framework to enable a collection of ana...
OBJECTIVE: Clinical notes contain information that has not been documented elsewhere, including resp...
MOTIVATION: Cells respond to environments by regulating gene expression to exploit resources optimal...
MOTIVATION: In multi-cohort machine learning studies, it is critical to differentiate between effect...
In deep learning-based image registration, the deformable region with complex anatomical structures ...
Objective To compare the performance of five machine learning models and SAPS II score in predicting...
Nowadays, the complexity of disease mechanisms and the inadequacy of single-target therapies in rest...
Nuclear receptors (NRs) are ligand-activated transcription factors, which constitute one of the most...
Protein S-sulfinylation is an important posttranslational modification that regulates a variety of c...
The high accuracy of short-term power load forecasting has a pivotal role in helping power companies...
In three recent and related publications, researchers from Johns Hopkins University and Bayesian Hea...
BACKGROUND: Accurate detection is essential for brain metastasis (BM) management, but manual identif...
Automatic arrhythmia detection is very important for cardiovascular health. It is generally performe...
ST segment morphology is closely related to cardiovascular disease. It is used not only for characte...
The purpose of this paper was to develop a novel triangular fuzzy method for multi-attribute decisio...
BACKGROUND: Patients in the intensive care unit (ICU) are often in critical condition and have a hig...