Endocrinology

Menopause

Latest AI and machine learning research in menopause for healthcare professionals.

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Effect of uterine size on fertility of lactating dairy cows.

There are multiple reasons for reduced fertility in lactating dairy cows. We hypothesized that one c...

Effects of xenoestrogens in human M1 and M2 macrophage migration, cytokine release, and estrogen-related signaling pathways.

Bisphenol A (BPA), bis(2-ethylhexyl)phthalate (DEHP) and di(n-butyl)phthalate (DBP) are environmenta...

In good company? Perception of movement synchrony of a non-anthropomorphic robot.

Recent technological developments like cheap sensors and the decreasing costs of computational power...

Non-parametric temporal modeling of the hemodynamic response function via a liquid state machine.

Standard methods for the analysis of functional MRI data strongly rely on prior implicit and explici...

Real-time, adaptive machine learning for non-stationary, near chaotic gasoline engine combustion time series.

Fuel efficient Homogeneous Charge Compression Ignition (HCCI) engine combustion timing predictions m...

Global asymptotical ω-periodicity of a fractional-order non-autonomous neural networks.

We study the global asymptotic ω-periodicity for a fractional-order non-autonomous neural networks. ...

Recurrence quantification analysis and support vector machines for golf handicap and low back pain EMG classification.

The quantification of non-linear characteristics of electromyography (EMG) must contain information ...

Clinical evaluation of postoperative chemotherapy based on genetic testing in patients with stage IIIA non-small cell lung cancer.

BACKGROUND: We performed a retrospective analysis to evaluate whether a postoperative chemotherapy s...

Non-redundant association rules between diseases and medications: an automated method for knowledge base construction.

BACKGROUND: The widespread use of electronic health records (EHRs) has generated massive clinical da...

Subgraph augmented non-negative tensor factorization (SANTF) for modeling clinical narrative text.

OBJECTIVE: Extracting medical knowledge from electronic medical records requires automated approache...

Efficient prediction of progesterone receptor interactome using a support vector machine model.

Protein-protein interaction (PPI) is essential for almost all cellular processes and identification ...

Non-invasive health status detection system using Gabor filters based on facial block texture features.

Blood tests allow doctors to check for certain diseases and conditions. However, using a syringe to ...

Multistability of neural networks with discontinuous non-monotonic piecewise linear activation functions and time-varying delays.

This paper is concerned with the problem of coexistence and dynamical behaviors of multiple equilibr...

Validating estimates of prevalence of non-communicable diseases based on household surveys: the symptomatic diagnosis study.

BACKGROUND: Easy-to-collect epidemiological information is critical for the more accurate estimation...

A prospective non-randomised single-center study comparing laparoscopic and robotic distal pancreatectomy.

BACKGROUND: Laparoscopic distal pancreatectomy (LDP) is increasing in popularity thanks to the benef...

Laparoscopic non-microsurgical tubal reanastomosis: A retrospective cohort study.

OBJECTIVE: To determine the pregnancy rate achieved through laparoscopic tubal reanastomosis using o...

Prediction and quantifying parameter importance in simultaneous anaerobic sulfide and nitrate removal process using artificial neural network.

The present investigation deals with the prediction of the performance of simultaneous anaerobic sul...

Predictors of schizophrenia spectrum disorders in early-onset first episodes of psychosis: a support vector machine model.

Identifying early-onset schizophrenia spectrum disorders (SSD) at a very early stage remains challen...

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