AIMC Topic: Liver Diseases

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HANN: A Hybrid Model for Liver Syndrome Classification by Feature Assortment Optimization.

Journal of medical systems
Early detection of any sort of disease is mandatory for effective medical treatment. Medical diagnosis relies heavily on Data Mining for automated disease classification and detection. It relies on data mining algorithms to examine medical data. Live...

Automated tongue diagnosis on the smartphone and its applications.

Computer methods and programs in biomedicine
Tongue features are important objective basis for clinical diagnosis and treatment in both western medicine and Chinese medicine. The need for continuous monitoring of health conditions inspires us to develop an automatic tongue diagnosis system base...

Serum level of interleukin-6 (IL-6) and N-terminal propeptide of procollagen type I (PINP) in patients with liver diseases.

Scandinavian journal of clinical and laboratory investigation
INTRODUCTION: The aim of this study was to evaluate the concentration of interleukin-6 and N-terminal propeptide of procollagen type I and their relationship in liver diseases of different etiologies.

A Network Pharmacology-Based Study on the Hepatoprotective Effect of Fructus Schisandrae.

Molecules (Basel, Switzerland)
(Wuweizi in Chinese), a common traditional Chinese herbal medicine, has been used for centuries to treat chronic liver disease. The therapeutic efficacy of Wuweizi has also been validated in clinical practice. In this study, molecular docking and ne...

A Machine-Learning Algorithm Toward Color Analysis for Chronic Liver Disease Classification, Employing Ultrasound Shear Wave Elastography.

Ultrasound in medicine & biology
The purpose of the present study was to employ a computer-aided diagnosis system that classifies chronic liver disease (CLD) using ultrasound shear wave elastography (SWE) imaging, with a stiffness value-clustering and machine-learning algorithm. A c...

Robotic hepatectomies: advances and perspectives.

Minerva chirurgica
INTRODUCTION: Over recent years, minimally invasive hepatic resections have increasingly been reported in the literature. Even though hepatic surgery is still considered a challenge for surgeons due to its technical difficulties and high morbidity, t...

A decision support system to improve medical diagnosis using a combination of k-medoids clustering based attribute weighting and SVM.

Journal of medical systems
The use of machine learning tools has become widespread in medical diagnosis. The main reason for this is the effective results obtained from classification and diagnosis systems developed to help medical professionals in the diagnosis phase of disea...

Robotic liver surgery: preliminary experience in a tertiary hepato-biliary unit.

Updates in surgery
Minimally invasive liver surgery is performed with increasing frequency by hepatic surgeons. Laparoscopy was the first approach to be used and it is currently safely feasible in selected patients by experienced surgeons. Minor and major laparoscopic ...

Discovering the metabolic pathway of liver disease by breath mass spectrometry combined with machine learning.

Journal of pharmaceutical and biomedical analysis
On account of the low concentration and complex background, most methods for detecting VOCs in exhaled breath samples required preconcentration prior to instrumental analysis. In the current study, a simple and rapid method is developed for analyzing...

Foam sclerotherapy for symptomatic cysts in ADPKD, ADPLD and solitary cysts.

Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association
BACKGROUND: This medical center migrated from alcohol to sotradecol foam sclerotherapy (SFS) because of perceived improved efficacy in managing symptomatic kidney and liver cysts. We report technical aspects, change in short- and long-term cyst volum...