AIMC Topic: Blood Pressure

Clear Filters Showing 231 to 240 of 299 articles

Exposure to fipronil elevates systolic blood pressure and disturbs related biomarkers in plasma of rats.

Environmental toxicology and pharmacology
Recent reports show that fipronil affects non-target organisms, including environmental species populations and potentially humans. We aimed to examine if fipronil exposure affects the systolic blood pressure and related biomarkers. Thus, fipronil wa...

The impact of paracentesis flow rate in patients with liver cirrhosis on the development of paracentesis induced circulatory dysfunction.

Clinical and molecular hepatology
BACKGROUND/AIMS: Ascites is a dreadful complication of liver cirrhosis associated with short survival. Large volume paracentesis (LVP) is used to treat tense or refractory ascites. Paracentesis induced circulatory dysfunction (PICD) develops if no pl...

Real alerts and artifact classification in archived multi-signal vital sign monitoring data: implications for mining big data.

Journal of clinical monitoring and computing
Huge hospital information system databases can be mined for knowledge discovery and decision support, but artifact in stored non-invasive vital sign (VS) high-frequency data streams limits its use. We used machine-learning (ML) algorithms trained on ...

A Context-Aware Interactive Health Care System Based on Ontology and Fuzzy Inference.

Journal of medical systems
In the present society, most families are double-income families, and as the long-term care is seriously short of manpower, it contributes to the rapid development of tele-homecare equipment, and the smart home care system gradually emerges, which as...

FoodWiki: Ontology-Driven Mobile Safe Food Consumption System.

TheScientificWorldJournal
An ontology-driven safe food consumption mobile system is considered. Over 3,000 compounds are being added to processed food, with numerous effects on the food: to add color, stabilize, texturize, preserve, sweeten, thicken, add flavor, soften, emuls...

Determining the appropriate amount of anesthetic gas using DWT and EMD combined with neural network.

Journal of medical systems
The spectrum of EEG has been studied to predict the depth of anesthesia using variety of signal processing methods up to date. Those standard models have used the full spectrum of EEG signals together with the systolic-diastolic pressure and pulse va...

Influence of pneumoperitoneum pressure on surgical field during robotic and laparoscopic surgery: a comparative study.

Archives of gynecology and obstetrics
PURPOSE: Studies on the influence of CO₂ pneumoperitoneum on the abdominal cavity during robotic procedures are lacking. This is the first study to evaluate surgical field modifications related to CO₂ pressure, during laparoscopic and robotic surgery...

Machine learning-based analyses of contributing factors for the development of hypertension: a comparative study.

Clinical and experimental hypertension (New York, N.Y. : 1993)
OBJECTIVES: Sufficient attention has not been given to machine learning (ML) models using longitudinal data for investigating important predictors of new onset of hypertension. We investigated the predictive ability of several ML models for the devel...

Predicting rTMS treatment response in depression: use of machine learning models to identify the roles of metabolic and clinical factors.

Journal of affective disorders
BACKGROUND: Repetitive transcranial magnetic stimulation (rTMS) is an effective treatment for depression in patients with major depressive disorder (MDD) and bipolar disorder (BD), but accurate prediction of treatment response remains a challenge. Th...