AIMC Topic: Hematologic Tests

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

Annals of vascular surgery Sep 22, 2017
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...
APACHE Sensitivity and Specificity Humans Pancreatitis Neural Networks, Computer Male Biomarkers Hematologic Tests Middle Aged Logistic Models Risk Assessment Retrospective Studies Models, Theoretical ROC Curve Female Venous Thrombosis Adult Acute Disease Portal Vein
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Using Arden Syntax Medical Logic Modules to reduce overutilization of laboratory tests for detection of bacterial infections-Success or failure?

Artificial intelligence in medicine Sep 25, 2015
OBJECTIVE: Bacterial infections frequently cause prolonged intensive care unit (ICU) stays. Repeated measurements of the procalcitonin (PCT) biomarker are typically used for early detection and follow up of bacterial infections and sepsis, but those ...
Bacterial Infections Cross Infection Severity of Illness Index Humans Medical Overuse Programming Languages Attitude of Health Personnel Artificial Intelligence Hematologic Tests Expert Systems Decision Support Systems, Clinical Prospective Studies Medical Informatics Longitudinal Studies Intensive Care Units Procalcitonin
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Importance of Serum Albumin in Deep Learning-Based Prediction of Cognitive Function Data in the Aged Using a Basic Blood Test.

Advances in experimental medicine and biology Jan 1, 2024
BACKGROUND: Recently, a method using deep learning has been developed to estimate the risk of developing dementia. This method uses general blood test data from routine health examinations that reveal lifestyle-related diseases, which can lead to vas...
Female Aged Aged, 80 and over Male Middle Aged Humans Nutritional Status Serum Albumin, Human Serum Albumin Hematologic Tests Mental Status and Dementia Tests Deep Learning Cognitive Dysfunction Dementia Cognition Malnutrition
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Effects of Exercise-Diet Therapy on Cognitive Function in Healthy Elderly People Evaluated by Deep Learning Based on Basic Blood Test Data.

Advances in experimental medicine and biology Jan 1, 2022
BACKGROUND: Recent studies reported that vascular cognitive impairment in the elderly caused by arteriosclerosis plays an important role in cognitive disorders in both vascular dementia and Alzheimer's disease. In addition, systemic metabolic disorde...
Cognition Neuropsychological Tests Hematologic Tests Humans Aged Middle Aged Diet Exercise Deep Learning Cognitive Dysfunction Dementia
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Routine Laboratory Blood Tests Predict SARS-CoV-2 Infection Using Machine Learning.

Clinical chemistry Nov 1, 2020
BACKGROUND: Accurate diagnostic strategies to identify SARS-CoV-2 positive individuals rapidly for management of patient care and protection of health care personnel are urgently needed. The predominant diagnostic test is viral RNA detection by RT-PC...
Retrospective Studies Female Aged Young Adult Adult Humans Machine Learning Pandemics COVID-19 Clinical Laboratory Techniques Pneumonia, Viral Models, Theoretical Coronavirus Infections COVID-19 Testing Laboratories Male Hematologic Tests Middle Aged Reverse Transcriptase Polymerase Chain Reaction ROC Curve
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Detection of Falsely Elevated Point-of-Care Potassium Results Due to Hemolysis Using Predictive Analytics.

American journal of clinical pathology Jul 7, 2020
OBJECTIVES: Preanalytical factors, such as hemolysis, affect many components of a test panel. Machine learning can be used to recognize these patterns, alerting clinicians and laboratories to potentially erroneous results. In particular, machine lear...
Point-of-Care Systems Point-of-Care Testing Potassium False Positive Reactions Hemolysis Humans Machine Learning Hematologic Tests
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[Artificial intelligence (AI) and hematological diseases: establishment of a peripheral blood convolutional neural network (CNN)-based digital morphology analysis system].

[Rinsho ketsueki] The Japanese journal of clinical hematology Jan 1, 2020
Morphological analysis of the blood smear is an essential element of diagnosing a disease hematologically and has been performed by conventional manual light microscopy for several decades. Although this method is the gold standard, it is labor-inten...
Hematologic Diseases Hematologic Tests Humans Neural Networks, Computer Artificial Intelligence Microscopy
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Predictive models of hypertensive disorders in pregnancy based on support vector machine algorithm.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2020
BACKGROUND: The risk factors of hypertensive disorders in pregnancy (HDP) could be summarized into three categories: clinical epidemiological factors, hemodynamic factors and biochemical factors.
Hematologic Tests Hypertension, Pregnancy-Induced Socioeconomic Factors Support Vector Machine Predictive Value of Tests Blood Pressure Pulse Wave Analysis Body Weight Data Mining Early Diagnosis Gestational Age Radial Artery Pregnancy Female Risk Factors Adult Hemodynamics Humans Algorithms
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Class Imbalance Impact on the Prediction of Complications during Home Hospitalization: A Comparative Study.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Home hospitalization (HH) is presented as a healthcare alternative capable of providing high standards of care when patients no longer need hospital facilities. Although HH seems to lower healthcare costs by shortening hospital stays and improving pa...
Middle Aged Female Home Care Services, Hospital-Based Quality of Life Hospitalization Humans Length of Stay Aged Machine Learning Health Care Costs Aged, 80 and over Delivery of Health Care Hematologic Tests Male
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Supervised machine learning for the prediction of infection on admission to hospital: a prospective observational cohort study.

The Journal of antimicrobial chemotherapy Apr 1, 2019
BACKGROUND: Infection diagnosis can be challenging, relying on clinical judgement and non-specific markers of infection. We evaluated a supervised machine learning (SML) algorithm for diagnosing bacterial infection using routinely available blood par...
Middle Aged Cohort Studies ROC Curve Decision Support Systems, Clinical Follow-Up Studies Humans Supervised Machine Learning Algorithms Disease Management Biomarkers Aged Diagnostic Tests, Routine Hematologic Tests Prognosis Aged, 80 and over Infections Clinical Decision-Making Patient Admission Young Adult Female Adult Male
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