AIMC Topic: Hematocrit

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Viscosity Prediction in a Physiologically Controlled Ventricular Assist Device.

IEEE transactions on bio-medical engineering Jan 24, 2018
OBJECTIVE: We present a novel machine learning model to accurately predict the blood-analog viscosity during support of a pathological circulation with a rotary ventricular assist device (VAD). The aim is the continuous monitoring of the hematocrit (...
Signal Processing, Computer-Assisted Supervised Machine Learning Hematocrit Heart-Assist Devices Humans Databases, Factual Viscosity Algorithms Models, Cardiovascular Hemodynamics Monitoring, Physiologic
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Erythropoiesis-stimulating Agents and Anemia in Patients with Non-dialytic Chronic Kidney Disease.

Journal of Korean medical science Dec 24, 2015
Anemia is common in patients with advanced chronic kidney disease (CKD). Though erythropoiesis-stimulating agents (ESAs) have been strongly endorsed in guidelines, it is of particular financial interest. Recently, the reimbursement of ESAs in non-dia...
Republic of Korea Female Aged Young Adult Adult Male Humans Retrospective Studies Poisson Distribution Renal Insufficiency, Chronic Anemia Hemoglobins Glomerular Filtration Rate Hematinics Hematocrit Blood Transfusion National Health Programs Middle Aged Prevalence Adolescent
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Development of patient-specific apparent blood viscosity predictive models for computational fluid dynamics analysis of intracranial aneurysms with machine learning approaches.

Computer methods and programs in biomedicine Aug 1, 2025
BACKGROUND AND OBJECTIVES: A model to predict patient-specific apparent viscosity as a computational condition in computational fluid dynamics (CFD) analysis, which is used in research on intracranial aneurysms, is important. The purpose of this stud...
Female Aged Adult Humans Machine Learning Computer Simulation Hydrodynamics Intracranial Aneurysm Blood Viscosity Male Middle Aged Hematocrit
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Machine learning of blood haemoglobin and haematocrit levels via smartphone conjunctiva photography in Kenyan pregnant women: a clinical study protocol.

BMJ open May 8, 2025
INTRODUCTION: Anaemia during pregnancy is a widespread health burden globally, especially in low- and middle-income countries, posing a serious risk to both maternal and neonatal health. The primary challenge is that anaemia is frequently undetected ...
Telemedicine Anemia Kenya Conjunctiva Hemoglobins Hematocrit Photography Pregnancy Complications, Hematologic Adult Cross-Sectional Studies Middle Aged Adolescent Smartphone Observational Studies as Topic Pregnancy Female Young Adult Humans Machine Learning
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The Influence of Intraoperative Autotransfusion on Postoperative Hematocrit after Cardiac Surgery: A Cross-Sectional Study.

The journal of extra-corporeal technology Dec 1, 2017
Utilization of intraoperative autotransfusion (IAT) during cardiac surgery with cardiopulmonary bypass (CPB) has been shown to reduce allogeneic red blood cell transfusion. Previous research has emphasized the benefits of using IAT in the intraoperat...
Humans Retrospective Studies Male Cardiac Surgical Procedures Middle Aged Erythrocyte Transfusion Cardiopulmonary Bypass Postoperative Complications Postoperative Period Hematocrit Female Intraoperative Care Operative Blood Salvage Aged Blood Transfusion, Autologous Cross-Sectional Studies Blood Loss, Surgical
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AcSDKP is down-regulated in anaemia induced by infection in mice.

Malawi medical journal : the journal of Medical Association of Malawi Sep 1, 2017
BACKGROUND: Anaemia commonly results from destruction of erythrocytes in the peripheral blood and failure of the bone marrow haematopoietic cells to replenish the erythrocytes. The mechanisms involved in trypanosoma-induced anaemia, including the rol...
Oligopeptides Trypanosomiasis, African Mice Erythrocyte Count Interleukin-10 Hematocrit Trypanosoma brucei brucei Animals Anemia
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Hematocrit estimation using online sequential extreme learning machine.

Bio-medical materials and engineering Jan 1, 2015
Hematocrit is a blood test that is defined as the volume percentage of red blood cells in the whole blood. It is one of the important indicators for clinical decision making and the most effective factor in glucose measurement using handheld devices....
Neural Networks, Computer Machine Learning Algorithms Humans Hematocrit
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