AIMC Topic: Acute Disease

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Artificial neural network algorithm model as powerful tool to predict acute lung injury following to severe acute pancreatitis.

Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.]
OBJECTIVE: The aim of this study is to predict the risk of severe acute pancreatitis (SAP) associated with acute lung injury (ALI) by artificial neural networks (ANNs) model.

Optimal two-stage dynamic treatment regimes from a classification perspective with censored survival data.

Biometrics
Clinicians often make multiple treatment decisions at key points over the course of a patient's disease. A dynamic treatment regime is a sequence of decision rules, each mapping a patient's observed history to the set of available, feasible treatment...

Evaluation of a Machine Learning-Based Prognostic Model for Unrelated Hematopoietic Cell Transplantation Donor Selection.

Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation
The survival of patients undergoing hematopoietic cell transplantation (HCT) from unrelated donors for acute leukemia exhibits considerable variation, even after stringent genetic matching. To improve the donor selection process, we attempted to crea...

Pro-inflammatory cytokines after an episode of acute pancreatitis: associations with fasting gut hormone profile.

Inflammation research : official journal of the European Histamine Research Society ... [et al.]
INTRODUCTION: Pro-inflammatory cytokines, such as interleukin (IL)-6, tumour necrosis factor (TNF)α, and monocyte chemoattractant protein (MCP)-1, are often elevated in individuals after acute pancreatitis but what determines their levels is poorly u...

[Application of Ischemia Modified Albumin for Acute Ischemic Heart Disease in Forensic Science].

Fa yi xue za zhi
OBJECTIVES: To explore the application value and forensic significance of ischemia modified albumin (IMA) in pericardial fluid to diagnose sudden cardiac death.

Risk Prediction for Portal Vein Thrombosis in Acute Pancreatitis Using Radial Basis Function.

Annals of vascular surgery
BACKGROUND: Acute pancreatitis (AP) can induce portosplenomesenteric vein thrombosis (PVT), which may generate higher morbidity and mortality. However current diagnostic modalities for PVT are still controversial. In recent decades, artificial neural...

Early Identification of Patients With Acute Decompensated Heart Failure.

Journal of cardiac failure
BACKGROUND: Interventions to reduce readmissions after acute heart failure hospitalization require early identification of patients. The purpose of this study was to develop and test accuracies of various approaches to identify patients with acute de...

Artificial neural networks predict the incidence of portosplenomesenteric venous thrombosis in patients with acute pancreatitis.

Journal of thrombosis and haemostasis : JTH
UNLABELLED: Essentials Predicting the occurrence of portosplenomesenteric vein thrombosis (PSMVT) is difficult. We studied 72 patients with acute pancreatitis. Artificial neural networks modeling was more accurate than logistic regression in predicti...