AIMC Topic: Machine Learning

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Optimizing Corpus Creation for Training Word Embedding in Low Resource Domains: A Case Study in Autism Spectrum Disorder (ASD).

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Automating the extraction of behavioral criteria indicative of Autism Spectrum Disorder (ASD) in electronic health records (EHRs) can contribute significantly to the effort to monitor the condition. Word embedding algorithms such as Word2Vec can enco...
Algorithms Autism Spectrum Disorder Humans Machine Learning Semantics Electronic Health Records Terminology as Topic Natural Language Processing Information Storage and Retrieval
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An Interpretable ICU Mortality Prediction Model Based on Logistic Regression and Recurrent Neural Networks with LSTM units.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Most existing studies used logistic regression to establish scoring systems to predict intensive care unit (ICU) mortality. Machine learning-based approaches can achieve higher prediction accuracy but, unlike the scoring systems, frequently cannot pr...
Risk Assessment Humans Prognosis Databases, Genetic Neural Networks, Computer Hospital Mortality Intensive Care Units Machine Learning Logistic Models Hospitalization
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Applying Machine Learning to Linked Administrative and Clinical Data to Enhance the Detection of Homelessness among Vulnerable Veterans.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
U.S. military veterans who were discharged from service for misconduct are at high risk for homelessness. Stratifying homelessness risk based on both military service factors and clinical characteristics could facilitate targeted provision of prevent...
United States Models, Statistical Databases as Topic Female Adult Male United States Department of Veterans Affairs Veterans Veterans Health Ill-Housed Persons Management Information Systems Humans Machine Learning Medical Record Linkage Electronic Health Records
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A Scalable Machine Learning Approach for Inferring Probabilistic US-LI-RADS Categorization.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
We propose a scalable computerized approach for large-scale inference of Liver Imaging Reporting and Data System (LI-RADS) final assessment categories in narrative ultrasound (US) reports. Although our model was trained on reports created using a LI-...
Liver Radiology Information Systems Data Systems Ultrasonography Liver Neoplasms Carcinoma, Hepatocellular Machine Learning Algorithms Diagnosis, Computer-Assisted Humans
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Improving the calling of non-invasive prenatal testing on 13-/18-/21-trisomy by support vector machine discrimination.

PloS one Dec 5, 2018
With the advance of next-generation sequencing (NGS) technologies, non-invasive prenatal testing (NIPT) has been developed and employed in fetal aneuploidy screening on 13-/18-/21-trisomies through detecting cell-free fetal DNA (cffDNA) in maternal b...
False Positive Reactions Prenatal Diagnosis Trisomy 13 Syndrome Trisomy 18 Syndrome Retrospective Studies Pregnancy High-Throughput Nucleotide Sequencing Female Down Syndrome Sequence Analysis, DNA Diagnosis, Computer-Assisted False Negative Reactions Support Vector Machine Diagnosis, Differential Young Adult Humans Genetic Testing Adult Machine Learning
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A comparison of deep networks with ReLU activation function and linear spline-type methods.

Neural networks : the official journal of the International Neural Network Society Dec 4, 2018
Deep neural networks (DNNs) generate much richer function spaces than shallow networks. Since the function spaces induced by shallow networks have several approximation theoretic drawbacks, this explains, however, not necessarily the success of deep ...
Biometry Neural Networks, Computer Machine Learning Humans
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What Can We Learn from the RSNA Pediatric Bone Age Machine Learning Challenge?

Radiology Dec 4, 2018
Machine Learning Child Humans Neural Networks, Computer
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Hispaglabridin B, a constituent of liquorice identified by a bioinformatics and machine learning approach, relieves protein-energy wasting by inhibiting forkhead box O1.

British journal of pharmacology Dec 4, 2018
BACKGROUND AND PURPOSE: Liquorice is the root of Glycyrrhiza glabra, which is a popular food in Europe and China that has previously shown benefits for skeletal fatigue and nutrient metabolism. However, the mechanism and active ingredients remain lar...
Dose-Response Relationship, Drug Muscle, Skeletal Structure-Activity Relationship Plant Roots Male Glycyrrhiza Computational Biology Mice Transcription, Genetic Plant Extracts Machine Learning Models, Molecular Muscular Atrophy Mice, Inbred C57BL Animals Molecular Structure Forkhead Box Protein O1 Benzopyrans
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Using Data Mining To Search for Perovskite Materials with Higher Specific Surface Area.

Journal of chemical information and modeling Dec 4, 2018
The specific surface area (SSA) of ABO-type perovskite is one of the important properties associated with photocatalytic ability. In this work, data mining methods were used to explore the relationship between the SSA (in the range of 1-60 m g) of pe...
Surface Properties Databases, Chemical Calcium Compounds Oxides Titanium Data Mining Machine Learning Algorithms Molecular Structure
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Ensuring Fairness in Machine Learning to Advance Health Equity.

Annals of internal medicine Dec 4, 2018
Machine learning is used increasingly in clinical care to improve diagnosis, treatment selection, and health system efficiency. Because machine-learning models learn from historically collected data, populations that have experienced human and struct...
Humans Machine Learning Healthcare Disparities Critical Care Patient Outcome Assessment Health Care Rationing Length of Stay Social Justice Health Equity
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