AIMC Topic: Body Mass Index

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Deep-learning models for the detection and incidence prediction of chronic kidney disease and type 2 diabetes from retinal fundus images.

Nature biomedical engineering Jun 15, 2021
Regular screening for the early detection of common chronic diseases might benefit from the use of deep-learning approaches, particularly in resource-poor or remote settings. Here we show that deep-learning models can be used to identify chronic kidn...
Deep Learning Blood Glucose ROC Curve Diabetes Mellitus, Type 2 Renal Insufficiency, Chronic Prospective Studies Female Male Middle Aged Disease Progression Retina Body Height Image Interpretation, Computer-Assisted Metadata Photography Humans Glomerular Filtration Rate Neural Networks, Computer Body Mass Index Area Under Curve Fundus Oculi Body Weight
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Application of Physical Examination Data on Health Analysis and Intelligent Diagnosis.

BioMed research international Jun 13, 2021
Analysis and diagnosis according to the collected physical data are an important part in the physical examination. Through the data analysis of the physical examination results and expert diagnoses, the physical condition of a specific physical exami...
Data Interpretation, Statistical Physical Examination Humans Reproducibility of Results Signal Processing, Computer-Assisted Artificial Intelligence Diagnosis, Computer-Assisted Pattern Recognition, Automated Machine Learning Body Mass Index Logic Algorithms Fuzzy Logic Statistics as Topic Models, Statistical
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COVID-19 and the kidney: A retrospective analysis of 37 critically ill patients using machine learning.

PloS one May 20, 2021
INTRODUCTION: There is evidence that SARS-CoV2 has a particular affinity for kidney tissue and is often associated with kidney failure.
Aged, 80 and over Adult Male Middle Aged Renal Insufficiency, Chronic Humans Retrospective Studies Machine Learning Body Mass Index Renal Replacement Therapy COVID-19 Proteinuria Critical Illness Prognosis Female Aged
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Artificial Intelligence for Unstructured Healthcare Data: Application to Coding of Patient Reporting of Adverse Drug Reactions.

Clinical pharmacology and therapeutics May 8, 2021
Adverse drug reaction (ADR) reporting is a major component of drug safety monitoring; its input will, however, only be optimized if systems can manage to deal with its tremendous flow of information, based primarily on unstructured text fields. The a...
Machine Learning Body Mass Index Age Factors Drug-Related Side Effects and Adverse Reactions Sex Factors Humans Artificial Intelligence Pharmacovigilance Clinical Coding Adverse Drug Reaction Reporting Systems
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The Prediction of Body Mass Index from Negative Affectivity through Machine Learning: A Confirmatory Study.

Sensors (Basel, Switzerland) Mar 29, 2021
This study investigates on the relationship between affect-related psychological variables and Body Mass Index (BMI). We have utilized a novel method based on machine learning (ML) algorithms that forecast unobserved BMI values based on psychological...
Overweight Body Mass Index Obesity Humans Machine Learning Algorithms
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A model for obstructive sleep apnea detection using a multi-layer feed-forward neural network based on electrocardiogram, pulse oxygen saturation, and body mass index.

Sleep & breathing = Schlaf & Atmung Mar 22, 2021
PURPOSE: To develop and evaluate a model for obstructive sleep apnea (OSA) detection using an artificial neural network (ANN) based on the combined features of body mass index (BMI), electrocardiogram (ECG), and pulse oxygen saturation (SpO2).
Polysomnography Oximetry Electrocardiography Body Mass Index Models, Biological Sleep Apnea, Obstructive Oxygen Saturation Humans Neural Networks, Computer Female Adult Sensitivity and Specificity Male Middle Aged
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Prediction of newborn's body mass index using nationwide multicenter ultrasound data: a machine-learning study.

BMC pregnancy and childbirth Mar 2, 2021
BACKGROUND: This study introduced machine learning approaches to predict newborn's body mass index (BMI) based on ultrasound measures and maternal/delivery information.
Humans Neural Networks, Computer Machine Learning Infant, Newborn Adult Ultrasonography, Prenatal Body Mass Index Predictive Value of Tests Prognosis Retrospective Studies Republic of Korea Pregnancy Female Body Size Birth Weight Prenatal Diagnosis Gestational Age Fetal Weight Pregnancy Trimester, Third Delivery, Obstetric
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Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients.

Scientific reports Feb 5, 2021
Patients with severe COVID-19 have overwhelmed healthcare systems worldwide. We hypothesized that machine learning (ML) models could be used to predict risks at different stages of management and thereby provide insights into drivers and prognostic m...
Prospective Studies Computer Simulation Prognosis Intensive Care Units Female Risk Factors Hospitalization Aged Aged, 80 and over Male Humans Machine Learning Body Mass Index COVID-19 Middle Aged Age Factors Respiration, Artificial Critical Care Comorbidity Sex Factors ROC Curve Hypertension
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Assessing Dry Weight of Hemodialysis Patients via Sparse Laplacian Regularized RVFL Neural Network with L-Norm.

BioMed research international Feb 4, 2021
Dry weight is the normal weight of hemodialysis patients after hemodialysis. If the amount of water in diabetes is too much (during hemodialysis), the patient will experience hypotension and shock symptoms. Therefore, the correct assessment of the pa...
Body Weight Body Weights and Measures Renal Dialysis Female Body Mass Index Aged Models, Statistical Humans Adult Blood Pressure Neural Networks, Computer Male Machine Learning Middle Aged
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Risk factors analysis of COVID-19 patients with ARDS and prediction based on machine learning.

Scientific reports Feb 3, 2021
COVID-19 is a newly emerging infectious disease, which is generally susceptible to human beings and has caused huge losses to people's health. Acute respiratory distress syndrome (ARDS) is one of the common clinical manifestations of severe COVID-19 ...
Sex Factors Lymphocyte Count ROC Curve Body Mass Index Machine Learning Respiratory Distress Syndrome COVID-19 Area Under Curve Humans Female SARS-CoV-2 Adult Risk Factors Male Middle Aged Comorbidity Severity of Illness Index
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