Latest AI and machine learning research in menopause for healthcare professionals.
Cervical spondylosis (CS), a most common orthopedic diseases, is mainly identified by the doctor's j...
PURPOSE: Quantitative changes in positron emission tomography with computed tomography imaging metri...
Introduction Dose reductions are often required to avoid toxicity in combination therapy for advance...
Transcription factors (TFs) are the major components of human gene regulation. In particular, they b...
We have previously developed an automated localization method based on multiple linear regression (M...
BACKGROUND: African American (AA) individuals are less likely to receive treatment and more likely t...
Epidemiological and clinical studies have shown a great difference in the severity and prevalence of...
BACKGROUND: With the development of sequencing technology, more and more long non-coding RNAs (lncRN...
OBJECTIVES: A malignant pleural effusion (MPE) is a common complication in non-small cell lung cance...
BACKGROUND: Multiplayer games have emerged as a promising approach to increase the motivation of pat...
BACKGROUND: Support vector machines (SVM) are a powerful tool to analyze data with a number of predi...
Guaranteeing clean drinking water to the global population is becoming more challenging, because of ...
Ventilated patients are at risk of acquiring ventilator-associated pneumonia. Various techniques are...
Neural networks are generally built by interleaving (adaptable) linear layers with (fixed) nonlinear...
BACKGROUND: Machine learning techniques offer promise to improve suicide risk prediction. In the cur...
BACKGROUND AND OBJECTIVE: Wheezes in pulmonary sounds are anomalies which are often associated with ...
Magnetic resonance imaging (MRI) has been proposed as a complimentary method to measure bone quality...
This paper presents a unified approach based on the recurrence quantification analysis (RQA) and app...
Warfarin, for many years, was the only oral anticoagulant availablt on the market for the prevention...
The aim of the present study was to evaluate the association between Bone mineral density in lumber ...
OBJECTIVE: To investigate the classification ability of quantitative radiomics features extracted on...