AIMC Topic: Acute Disease

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Deep learning for identifying environmental risk factors of acute respiratory diseases in Beijing, China: implications for population with different age and gender.

International journal of environmental health research Mar 31, 2019
This study focuses on identifying environmental health risk factors related to acute respiratory diseases using deep learning method. Based on respiratory disease data, air pollution data and meteorological environmental data, cross-domain risk facto...
Air Pollutants Particulate Matter Environmental Exposure Weather Sex Factors Incidence Child, Preschool Child Age Factors Acute Disease Beijing Aged Humans Respiratory Tract Diseases Aged, 80 and over Female Young Adult Middle Aged Infant, Newborn Adult Infant Risk Factors Male Deep Learning China Adolescent
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Effects of Food Contamination on Gastrointestinal Morbidity: Comparison of Different Machine-Learning Methods.

International journal of environmental research and public health Mar 7, 2019
Morbidity prediction can be useful in improving the effectiveness and efficiency of medical services, but accurate morbidity prediction is often difficult because of the complex relationships between diseases and their influencing factors. This study...
Deep Learning China Food Contamination Acute Disease Gastrointestinal Diseases Humans Neural Networks, Computer Machine Learning
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Characterization of clot composition in acute cerebral infarct using machine learning techniques.

Annals of clinical and translational neurology Mar 4, 2019
OBJECTIVE: Clot characteristics can provide information on the cause of cerebral artery occlusion and may guide acute revascularization and secondary prevention strategies. We developed a rapid automated clot analysis system using machine learning (M...
Humans Male Middle Aged Acute Disease Stroke Infarction, Middle Cerebral Artery Machine Learning Female Aged Aged, 80 and over Adult Endovascular Procedures Thrombosis Atrial Fibrillation Brain Ischemia Neuroimaging
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An explainable deep-learning algorithm for the detection of acute intracranial haemorrhage from small datasets.

Nature biomedical engineering Dec 17, 2018
Owing to improvements in image recognition via deep learning, machine-learning algorithms could eventually be applied to automated medical diagnoses that can guide clinical decision-making. However, these algorithms remain a 'black box' in terms of h...
Intracranial Hemorrhages Algorithms Deep Learning Acute Disease Databases as Topic
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Low vitamin D at ICU admission is associated with cancer, infections, acute respiratory insufficiency, and liver failure.

Nutrition (Burbank, Los Angeles County, Calif.) Oct 24, 2018
OBJECTIVES: Vitamin D deficiency may be associated with comorbidities and poor prognosis. However, this association in patients in the intensive care unit (ICU) has not been fully elucidated. The aim of this study was to investigate whether the serum...
C-Reactive Protein Acute Disease Female Respiratory Insufficiency Humans Aged Prognosis APACHE Adult Middle Aged Critical Illness Infections Liver Failure Cross-Sectional Studies Intensive Care Units Time Factors Neoplasms Male Organ Dysfunction Scores Hospital Mortality Respiration, Artificial Patient Admission Vitamin D Comorbidity Vitamin D Deficiency Severity of Illness Index
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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.] Sep 26, 2018
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.
Acute Disease L-Lactate Dehydrogenase Oxyhemoglobins Pancreatitis Risk Assessment ROC Curve Logistic Models Predictive Value of Tests Area Under Curve Neural Networks, Computer Machine Learning Algorithms Prognosis Acute Kidney Injury Female Young Adult Adult Male Middle Aged Humans
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Optimal two-stage dynamic treatment regimes from a classification perspective with censored survival data.

Biometrics May 18, 2018
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...
Outcome Assessment, Health Care Survival Analysis Biometry Leukemia Computer Simulation Humans Support Vector Machine Randomized Controlled Trials as Topic Algorithms Acute Disease Decision Support Techniques
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A Novel Deep Learning Approach for Automated Diagnosis of Acute Ischemic Infarction on Computed Tomography.

JACC. Cardiovascular imaging May 16, 2018
Male Middle Aged Tomography, X-Ray Computed Deep Learning Female Predictive Value of Tests Reproducibility of Results Acute Disease Radiographic Image Interpretation, Computer-Assisted Humans Aged Brain Infarction Prospective Studies Aged, 80 and over
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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 Feb 2, 2018
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...
Humans Machine Learning Algorithms Prognosis Survival Rate Predictive Value of Tests Acute Disease Hematopoietic Stem Cell Transplantation Donor Selection Leukemia Unrelated Donors
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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.] Dec 29, 2017
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...
Gastrointestinal Hormones Peptide YY Interleukin-6 Hyperglycemia Chemokine CCL2 Pregnancy Acute Disease Female Pancreatitis Aged Gastric Inhibitory Polypeptide Adult Cross-Sectional Studies Male Middle Aged Humans Fasting Tumor Necrosis Factor-alpha
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