AIMC Topic: Data Collection

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Segmentation of lung parenchyma in CT images using CNN trained with the clustering algorithm generated dataset.

Biomedical engineering online Jan 3, 2019
BACKGROUND: Lung segmentation constitutes a critical procedure for any clinical-decision supporting system aimed to improve the early diagnosis and treatment of lung diseases. Abnormal lungs mainly include lung parenchyma with commonalities on CT ima...
Humans Neural Networks, Computer Machine Learning Algorithms Image Processing, Computer-Assisted Cluster Analysis Radiographic Image Interpretation, Computer-Assisted Data Collection False Positive Reactions Tomography, X-Ray Computed Reproducibility of Results Lung ROC Curve
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Incorporating Knowledge-Driven Insights into a Collaborative Filtering Model to Facilitate the Differential Diagnosis of Rare Diseases.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Rare diseases, although individually rare, collectively affect one in ten Americans. Because of their rarity, patients with rare diseases are typically left misdiagnosed or undiagnosed, which leads to a prolonged medical journey. The diagnosis pathwa...
Biological Ontologies Humans Algorithms Statistics as Topic Diagnosis, Differential Rare Diseases Knowledge Bases Knowledge Discovery Data Collection Systematized Nomenclature of Medicine
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Disease Trajectories and End-of-Life Care for Dementias: Latent Topic Modeling and Trend Analysis Using Clinical Notes.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Despite the increasing prevalence, growing costs, and high mortality of dementia in older adults in the U.S., little is known about the course of these diseases and what care dementia patients receive in their final years of life. Using a large volum...
Unsupervised Machine Learning Aged Terminal Care Humans Aged, 80 and over Data Collection Retrospective Studies Male Electronic Health Records Dementia Female Models, Theoretical
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Machine learning approaches for predicting high cost high need patient expenditures in health care.

Biomedical engineering online Nov 20, 2018
BACKGROUND: This paper studies the temporal consistency of health care expenditures in a large state Medicaid program. Predictive machine learning models were used to forecast the expenditures, especially for the high-cost, high-need (HCHN) patients.
Algorithms Female Aged Young Adult Adult Humans Machine Learning Health Services Research Texas Medicaid Multimorbidity Chronic Disease Health Expenditures Data Collection Economics, Medical Health Care Costs Male Middle Aged Adolescent United States
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An unsupervised and customizable misspelling generator for mining noisy health-related text sources.

Journal of biomedical informatics Nov 13, 2018
BACKGROUND: Data collection and extraction from noisy text sources such as social media typically rely on keyword-based searching/listening. However, health-related terms are often misspelled in such noisy text sources due to their complex morphology...
Pattern Recognition, Automated Natural Language Processing Data Mining Data Collection Medical Informatics Algorithms Electronic Health Records Reproducibility of Results Fuzzy Logic Social Media
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Using clinical Natural Language Processing for health outcomes research: Overview and actionable suggestions for future advances.

Journal of biomedical informatics Oct 24, 2018
The importance of incorporating Natural Language Processing (NLP) methods in clinical informatics research has been increasingly recognized over the past years, and has led to transformative advances. Typically, clinical NLP systems are developed and...
Outcome Assessment, Health Care Mental Disorders Data Collection Electronic Health Records Medical Informatics Reproducibility of Results Semantics Mental Health Services Natural Language Processing Humans Algorithms
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The Moral Machine experiment.

Nature Oct 24, 2018
With the rapid development of artificial intelligence have come concerns about how machines will make moral decisions, and the major challenge of quantifying societal expectations about the ethical principles that should guide machine behaviour. To a...
Data Collection Internationality Morals Public Opinion Harm Reduction Robotics Internet Pedestrians Accidents, Traffic Translating Motor Vehicles Humans Artificial Intelligence Female Male Decision Making
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Identifying health information technology related safety event reports from patient safety event report databases.

Journal of biomedical informatics Sep 10, 2018
OBJECTIVE: The objective of this paper was to identify health information technology (HIT) related events from patient safety event (PSE) report free-text descriptions. A difference-based scoring approach was used to prioritize and select model featu...
Support Vector Machine Models, Statistical Regression Analysis Area Under Curve Data Mining Data Collection Research Report Medical Informatics Adverse Drug Reaction Reporting Systems Humans Algorithms Patient Safety Databases, Factual Pennsylvania
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Digital Diabetes Data and Artificial Intelligence: A Time for Humility Not Hubris.

Journal of diabetes science and technology Sep 5, 2018
In the future artificial intelligence (AI) will have the potential to improve outcomes diabetes care. With the creation of new sensors for physiological monitoring sensors and the introduction of smart insulin pens, novel data relationships based on ...
Data Collection Racial Groups Decision Support Systems, Clinical Diabetes Mellitus, Type 2 Genotype Computational Biology Diabetes Mellitus, Type 1 Decision Making Precision Medicine Healthcare Disparities Language Humans Access to Information Reproducibility of Results Artificial Intelligence Ethnicity Public Health Phenotype Big Data
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Clear Cell Renal Cell Carcinoma: Machine Learning-Based Quantitative Computed Tomography Texture Analysis for Prediction of Fuhrman Nuclear Grade.

European radiology Aug 30, 2018
OBJECTIVE: To evaluate the performance of quantitative computed tomography (CT) texture analysis using different machine learning (ML) classifiers for discriminating low and high nuclear grade clear cell renal cell carcinomas (cc-RCCs).
Nephrectomy Humans Biopsy Machine Learning Data Collection Algorithms Kidney Neoplasms Retrospective Studies Carcinoma, Renal Cell Male Female Tomography, X-Ray Computed Middle Aged Reproducibility of Results Support Vector Machine Aged Diagnosis, Differential Adult Bayes Theorem
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