AIMC Topic: Male

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Learning Effective Treatment Pathways for Type-2 Diabetes from a clinical data warehouse.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
Treatment guidelines for management of type-2 diabetes mellitus (T2DM) are controversial because existing evidence from randomized clinical trials do not address many important clinical questions. Data from Electronic Medical Records (EMRs) has been ...
Diabetes Mellitus, Type 2 Consolidation Chemotherapy Humans Hypoglycemic Agents Machine Learning Glycated Hemoglobin Aged Sitagliptin Phosphate Proportional Hazards Models Electronic Health Records Metformin Adult Female Critical Pathways Male Middle Aged
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Controlling testing volume for respiratory viruses using machine learning and text mining.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
Viral testing for pediatric inpatients with respiratory symptoms is common, with considerable associated charges. In an attempt to reduce testing volumes, we studied whether data available at the time of admission could aid in identifying children wi...
Hospitalization Sensitivity and Specificity Male Viruses Infant Humans Machine Learning Retrospective Studies Electronic Health Records Female Models, Theoretical Decision Trees Adolescent Data Mining Child, Preschool Respiratory Tract Infections Child Virus Diseases ROC Curve
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Predicting Prolonged Stay in the ICU Attributable to Bleeding in Patients Offered Plasma Transfusion.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
In blood transfusion studies, plasma transfusion (PPT) and bleeding are known to be associated with risk of prolonged ICU length of stay (ICU-LOS). However, as patients can show significant heterogeneity in response to a treatment, there might exists...
Middle Aged Length of Stay Blood Transfusion Regression Analysis Hemorrhage Risk Female Aged Aged, 80 and over Male Humans Machine Learning Intensive Care Units
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Bayesian Machine Learning Techniques for revealing complex interactions among genetic and clinical factors in association with extra-intestinal Manifestations in IBD patients.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
The objective of the study is to assess the predictive performance of three different techniques as classifiers for extra-intestinal manifestations in 152 patients with Crohn's disease. Naïve Bayes, Bayesian Additive Regression Trees and Bayesian Net...
Humans Machine Learning Algorithms Models, Statistical Female Crohn Disease Bayes Theorem Data Mining Risk Factors Polymorphism, Genetic Male Genetic Predisposition to Disease
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A First Step towards a Clinical Decision Support System for Post-traumatic Stress Disorders.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
PTSD is distressful and debilitating, following a non-remitting course in about 10% to 20% of trauma survivors. Numerous risk indicators of PTSD have been identified, but individual level prediction remains elusive. As an effort to bridge the gap bet...
Female Risk Factors Male Stress Disorders, Post-Traumatic Feasibility Studies Decision Support Systems, Clinical Support Vector Machine Humans Algorithms Decision Support Techniques
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Integrated Machine Learning Approaches for Predicting Ischemic Stroke and Thromboembolism in Atrial Fibrillation.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
Atrial fibrillation (AF) is a common cardiac rhythm disorder, which increases the risk of ischemic stroke and other thromboembolism (TE). Accurate prediction of TE is highly valuable for early intervention to AF patients. However, the prediction perf...
Thromboembolism Stroke Humans Models, Biological Machine Learning Atrial Fibrillation Computer Simulation Brain Ischemia Prognosis Female Male Risk Factors Area Under Curve Registries
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Structured Pyramidal Neural Networks.

International journal of neural systems Feb 9, 2017
The Pyramidal Neural Networks (PNN) are an example of a successful recently proposed model inspired by the human visual system and deep learning theory. PNNs are applied to computer vision and based on the concept of receptive fields. This paper prop...
Humans Neural Networks, Computer Female Male Time Factors Visual Pathways Area Under Curve ROC Curve Pattern Recognition, Automated Image Processing, Computer-Assisted Blood Cells Support Vector Machine Pyramidal Cells Models, Neurological
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Monitoring Hitting Load in Tennis Using Inertial Sensors and Machine Learning.

International journal of sports physiology and performance Feb 9, 2017
CONTEXT: Quantifying external workload is fundamental to training prescription in sport. In tennis, global positioning data are imprecise and fail to capture hitting loads. The current gold standard (manual notation) is time intensive and often not p...
Humans Machine Learning Female Adolescent Wearable Electronic Devices Athletic Performance Video Recording Tennis Young Adult Cross-Sectional Studies Biomechanical Phenomena Male
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Who's Who? Detecting and Resolving Sample Anomalies in Human DNA Sequencing Studies with Peddy.

American journal of human genetics Feb 9, 2017
The potential for genetic discovery in human DNA sequencing studies is greatly diminished if DNA samples from a cohort are mislabeled, swapped, or contaminated or if they include unintended individuals. Unfortunately, the potential for such errors is...
Exome Chromosomes, Human, X Sequence Analysis, DNA Genetic Loci Genome, Human Pedigree Humans Machine Learning Software Polymorphism, Single Nucleotide Genotype Genetic Association Studies Female Male
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Performance analysis of a machine learning flagging system used to identify a group of individuals at a high risk for colorectal cancer.

PloS one Feb 9, 2017
Individuals with colorectal cancer (CRC) have a tendency to intestinal bleeding which may result in mild to severe iron deficiency anemia, but for many colon cancer patients hematological abnormalities are subtle. The fecal occult blood test (FOBT) i...
Colorectal Neoplasms Male Middle Aged Colonoscopy Mass Screening Retrospective Studies Female Risk Factors Aged Early Detection of Cancer Data Interpretation, Statistical Referral and Consultation Occult Blood Humans Machine Learning
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