AIMC Topic: Bilirubin
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Development of an equation to predict delta bilirubin levels using machine learning.
Clinica chimica acta; international journal of clinical chemistry
Aug 22, 2024
OBJECTIVE: Delta bilirubin (albumin-covalently bound bilirubin) may provide important clinical utility in identifying impaired hepatic excretion of conjugated bilirubin, but it cannot be measured in real-time for diagnostic purposes in clinical labor...
Machine learning-causal inference based on multi-omics data reveals the association of altered gut bacteria and bile acid metabolism with neonatal jaundice.
Gut microbes
Aug 21, 2024
Early identification of neonatal jaundice (NJ) appears to be essential to avoid bilirubin encephalopathy and neurological sequelae. The interaction between gut microbiota and metabolites plays an important role in early life. It is unclear whether th...
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.
Humans
Machine Learning
Databases, Factual
Serum Albumin, Human
Serum Albumin
Time Factors
Male
Hospital Mortality
Middle Aged
Liver Neoplasms
Risk Assessment
Carcinoma, Hepatocellular
Postoperative Complications
Treatment Outcome
Retrospective Studies
Predictive Value of Tests
Female
Bilirubin
Risk Factors
Hepatectomy
Aged
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...
Machine Learning to Improve Accuracy of Transcutaneous Bilirubinometry.
Neonatology
Apr 29, 2024
INTRODUCTION: This study aimed to develop models for predicting total serum bilirubin by correcting errors of transcutaneous bilirubin using machine learning based on neonatal biomarkers that could affect spectrophotometric measurements of tissue bil...
Upper gastrointestinal haemorrhage patients' survival: A causal inference and prediction study.
European journal of clinical investigation
Feb 20, 2024
BACKGROUND: Upper gastrointestinal (GI) bleeding is a common medical emergency. This study aimed to develop models to predict critically ill patients with upper GI bleeding in-hospital and 30-day survival, identify the correlation factor and infer th...
Personalising monitoring for chemotherapy patients through predicting deterioration in renal and hepatic function.
Cancer medicine
Aug 23, 2023
BACKGROUND: In those receiving chemotherapy, renal and hepatic dysfunction can increase the risk of toxicity and should therefore be monitored. We aimed to develop a machine learning model to identify those patients that need closer monitoring, enabl...
Diagnosis of liver diseases based on artificial intelligence.
Biotechnology & genetic engineering reviews
Mar 26, 2023
Due to a series of problems in the diagnosis of liver disease, the mortality rate of liver disease patients is very high. Therefore, it is necessary for doctors and researchers to find a more effective non-invasive diagnostic method to meet clinical ...
Employing biochemical biomarkers for building decision tree models to predict bipolar disorder from major depressive disorder.
Journal of affective disorders
Apr 16, 2022
BACKGROUND: Conventional biochemical parameters may have predictive values for use in clinical identification between bipolar disorder (BD) and major depressive disorder (MDD).
Detecting acute bilirubin encephalopathy in neonates based on multimodal MRI with deep learning.
Pediatric research
Jun 5, 2021
BACKGROUND: Differentiating acute bilirubin encephalopathy (ABE) from non-ABE in neonates with hyperbilirubinemia (HB) from routine magnetic resonance imaging (MRI) is extremely challenging since both conditions demonstrate similar T1 hyperintensitie...
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