AIMC Topic: Serum Albumin
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Preoperative blood and CT-image nutritional indicators in short-term outcomes and machine learning survival framework of intrahepatic cholangiocarcinoma.
European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
Jan 30, 2025
BACKGROUND&AIMS: Intrahepatic cholangiocarcinoma (iCCA) is aggressive with limited treatment and poor prognosis. Preoperative nutritional status assessment is crucial for predicting outcomes in patients. This study aimed to compare the predictive cap...
Tomography, X-Ray Computed
Female
Aged
Survival Rate
Male
Middle Aged
Humans
Machine Learning
Prognosis
Retrospective Studies
Nutritional Status
Preoperative Period
Intra-Abdominal Fat
Serum Albumin
Cholangiocarcinoma
Subcutaneous Fat
Nutrition Assessment
Postoperative Complications
Neoplasm Recurrence, Local
Bilirubin
Hepatectomy
Bile Duct Neoplasms
Machine learning models including preoperative and postoperative albumin-bilirubin score: short-term outcomes among patients with hepatocellular carcinoma.
HPB : the official journal of the International Hepato Pancreato Biliary Association
Jul 25, 2024
BACKGROUND: We sought to assess the impact of various perioperative factors on the risk of severe complications and post-surgical mortality using a novel maching learning technique.
Serum Albumin
Retrospective Studies
Risk Assessment
Female
Postoperative Complications
Risk Factors
Time Factors
Hospital Mortality
Aged
Liver Neoplasms
Male
Humans
Carcinoma, Hepatocellular
Middle Aged
Machine Learning
Treatment Outcome
Databases, Factual
Predictive Value of Tests
Bilirubin
Hepatectomy
Serum Albumin, Human
Machine learning-based model for predicting tumor recurrence after interventional therapy in HBV-related hepatocellular carcinoma patients with low preoperative platelet-albumin-bilirubin score.
Frontiers in immunology
May 28, 2024
INTRODUCTION: This study aimed to develop a prognostic nomogram for predicting the recurrence-free survival (RFS) of hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC) patients with low preoperative platelet-albumin-bilirubin (PALBI) scor...
A potential new way to facilitate HCV elimination: The prediction of viremia in anti-HCV seropositive patients using machine learning algorithms.
Arab journal of gastroenterology : the official publication of the Pan-Arab Association of Gastroenterology
May 4, 2024
BACKGROUND AND STUDY AIMS: The present study was undertaken to design a new machine learning (ML) model that can predict the presence of viremia in hepatitis C virus (HCV) antibody (anti-HCV) seropositive cases.
Carvacrol protects against carbonyl osmolyte-induced structural modifications and aggregation to serum albumin: Insights from physicochemical and molecular interaction studies.
International journal of biological macromolecules
Jun 2, 2022
The robust use of osmolytes (i.e., polyols and sugars) in the key therapeutic regimens/formulations has questioned their impact beyond the stability of therapeutic proteins as these osmolytes trigger structural alterations into proteins including mis...
COVID-19 diagnosis by routine blood tests using machine learning.
Scientific reports
May 24, 2021
Physicians taking care of patients with COVID-19 have described different changes in routine blood parameters. However, these changes hinder them from performing COVID-19 diagnoses. We constructed a machine learning model for COVID-19 diagnosis that ...
A novel approach to dry weight adjustments for dialysis patients using machine learning.
PloS one
Apr 23, 2021
BACKGROUND AND AIMS: Knowledge of the proper dry weight plays a critical role in the efficiency of dialysis and the survival of hemodialysis patients. Recently, bioimpedance spectroscopy(BIS) has been widely used for set dry weight in hemodialysis pa...
Machine Learning for Prediction and Risk Stratification of Lupus Nephritis Renal Flare.
American journal of nephrology
Mar 19, 2021
BACKGROUND: Renal flare of lupus nephritis (LN) is strongly associated with poor kidney outcomes, and predicting renal flare and stratifying its risk are important for clinical decision-making and individualized management to reduce LN flare.
Physical Features and Vital Signs Predict Serum Albumin and Globulin Concentrations Using Machine Learning.
Asian Pacific journal of cancer prevention : APJCP
Feb 1, 2021
OBJECTIVE: Serum protein concentrations are diagnostically and prognostically valuable in cancer and other diseases, but their measurement via blood test is uncomfortable, inconvenient, and costly. This study investigates the possibility of predictin...
Predicting Postoperative Mortality After Metastatic Intraspinal Neoplasm Excision: Development of a Machine-Learning Approach.
World neurosurgery
Nov 16, 2020
OBJECTIVE: Mortality following surgical resection of spinal tumors is a devastating outcome. Naïve Bayes machine learning algorithms may be leveraged in surgical planning to predict mortality. In this investigation, we use a Naïve Bayes classificatio...
Serum Albumin
Mortality
Preoperative Care
Laminectomy
Body Mass Index
Blood Coagulation Disorders
Humans
Male
Bayes Theorem
Smoking
Machine Learning
Middle Aged
Ascites
Metastasectomy
Female
Hypoalbuminemia
Risk Assessment
Spinal Neoplasms
Aged
Dyspnea
Respiration, Artificial
Multivariate Analysis
Pulmonary Disease, Chronic Obstructive
Weight Loss
Odds Ratio
Hypertension
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