AIMC Topic: Data Mining

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Identification of adverse drug-drug interactions through causal association rule discovery from spontaneous adverse event reports.

Artificial intelligence in medicine Feb 10, 2017
OBJECTIVE: Drug-drug interaction (DDI) is of serious concern, causing over 30% of all adverse drug reactions and resulting in significant morbidity and mortality. Early discovery of adverse DDI is critical to prevent patient harm. Spontaneous reporti...
Humans Machine Learning Bayes Theorem Drug Interactions Drug-Related Side Effects and Adverse Reactions Data Mining Adverse Drug Reaction Reporting Systems
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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...
Data Mining Respiratory Tract Infections Virus Diseases Viruses Male Humans Child Electronic Health Records Machine Learning Infant Female ROC Curve Retrospective Studies Adolescent Hospitalization Models, Theoretical Child, Preschool Sensitivity and Specificity Decision Trees
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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 Bayes Theorem Algorithms Risk Factors Crohn Disease Female Male Data Mining Polymorphism, Genetic Genetic Predisposition to Disease Models, Statistical
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Classification of nervous system withdrawn and approved drugs with ToxPrint features via machine learning strategies.

Computer methods and programs in biomedicine Feb 9, 2017
BACKGROUND AND OBJECTIVES: Early-phase virtual screening of candidate drug molecules plays a key role in pharmaceutical industry from data mining and machine learning to prevent adverse effects of the drugs. Computational classification methods can d...
Algorithms Patient Safety Computer Simulation Sensitivity and Specificity Humans Ethylamines Toluene Safety-Based Drug Withdrawals Area Under Curve Drug Monitoring Pharmaceutical Preparations Drug Approval Linear Models Data Mining Benzene Risk Pattern Recognition, Automated False Positive Reactions Product Surveillance, Postmarketing Nervous System Support Vector Machine Carbon
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Mining peripheral arterial disease cases from narrative clinical notes using natural language processing.

Journal of vascular surgery Feb 8, 2017
OBJECTIVE: Lower extremity peripheral arterial disease (PAD) is highly prevalent and affects millions of individuals worldwide. We developed a natural language processing (NLP) system for automated ascertainment of PAD cases from clinical narrative n...
Databases, Factual Retrospective Studies Electronic Health Records Lower Extremity Humans Algorithms Ankle Brachial Index International Classification of Diseases Administrative Claims, Healthcare Minnesota Peripheral Arterial Disease Models, Statistical Natural Language Processing Data Mining
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Performance of a Machine Learning Classifier of Knee MRI Reports in Two Large Academic Radiology Practices: A Tool to Estimate Diagnostic Yield.

AJR. American journal of roentgenology Jan 31, 2017
OBJECTIVE: The purpose of this study is to evaluate the performance of a natural language processing (NLP) system in classifying a database of free-text knee MRI reports at two separate academic radiology practices.
Radiology Department, Hospital Knee Workload Data Mining Academic Medical Centers Pattern Recognition, Automated Image Enhancement Sensitivity and Specificity Humans California Support Vector Machine Machine Learning Radiology Information Systems Magnetic Resonance Imaging Reproducibility of Results North Carolina Natural Language Processing
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Disorder recognition in clinical texts using multi-label structured SVM.

BMC bioinformatics Jan 31, 2017
BACKGROUND: Information extraction in clinical texts enables medical workers to find out problems of patients faster as well as makes intelligent diagnosis possible in the future. There has been a lot of work about disorder mention recognition in cli...
Humans Disease Support Vector Machine Data Mining
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Developing a knowledge base to support the annotation of ultrasound images of ectopic pregnancy.

Journal of biomedical semantics Jan 31, 2017
BACKGROUND: Ectopic pregnancy is a frequent early complication of pregnancy associated with significant rates of morbidly and mortality. The positive diagnosis of this condition is established through transvaginal ultrasound scanning. The timing of d...
Biological Ontologies Pregnancy, Ectopic Pregnancy Female Ultrasonography Data Mining Humans
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Comprehensible knowledge model creation for cancer treatment decision making.

Computers in biology and medicine Jan 29, 2017
BACKGROUND: A wealth of clinical data exists in clinical documents in the form of electronic health records (EHRs). This data can be used for developing knowledge-based recommendation systems that can assist clinicians in clinical decision making and...
Neoplasms Decision Support Systems, Clinical Knowledge Bases Data Mining Data Accuracy Electronic Health Records Clinical Decision-Making Humans Reproducibility of Results Sensitivity and Specificity Algorithms Decision Support Techniques
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Geographical traceability of wild Boletus edulis based on data fusion of FT-MIR and ICP-AES coupled with data mining methods (SVM).

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jan 16, 2017
In this work, the data fusion strategy of Fourier transform mid infrared (FT-MIR) spectroscopy and inductively coupled plasma-atomic emission spectrometry (ICP-AES) was used in combination with Support Vector Machine (SVM) to determine the geographic...
Data Mining Calibration Spectrophotometry, Atomic Geography Reproducibility of Results China Spectrum Analysis, Raman Support Vector Machine Spectroscopy, Fourier Transform Infrared Agaricales
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