AIMC Topic: Data Collection
Clear Filters Showing 201 to 210 of 273 articles
Methodological variations in lagged regression for detecting physiologic drug effects in EHR data.
Journal of biomedical informatics
Aug 30, 2018
We studied how lagged linear regression can be used to detect the physiologic effects of drugs from data in the electronic health record (EHR). We systematically examined the effect of methodological variations ((i) time series construction, (ii) tem...
A convolutional route to abbreviation disambiguation in clinical text.
Journal of biomedical informatics
Aug 15, 2018
OBJECTIVE: Abbreviations sense disambiguation is a special case of word sense disambiguation. Machine learning methods based on neural networks showed promising results for word sense disambiguation (Festag and Spreckelsen, 2017) [1] and, here we ass...
Residential scene classification for gridded population sampling in developing countries using deep convolutional neural networks on satellite imagery.
International journal of health geographics
May 9, 2018
BACKGROUND: Conducting surveys in low- and middle-income countries is often challenging because many areas lack a complete sampling frame, have outdated census information, or have limited data available for designing and selecting a representative s...
Convolutional neural network-based classification system design with compressed wireless sensor network images.
PloS one
May 8, 2018
With the introduction of various advanced deep learning algorithms, initiatives for image classification systems have transitioned over from traditional machine learning algorithms (e.g., SVM) to Convolutional Neural Networks (CNNs) using deep learni...
Utilizing Smartphone-Based Machine Learning in Medical Monitor Data Collection: Seven Segment Digit Recognition.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Apr 16, 2018
Biometric measurements captured from medical devices, such as blood pressure gauges, glucose monitors, and weighing scales, are essential to tracking a patient's health. Trends in these measurements can accurately track diabetes, cardiovascular issue...
Complex analyses on clinical information systems using restricted natural language querying to resolve time-event dependencies.
Journal of biomedical informatics
Apr 9, 2018
PURPOSE: This paper reports on a generic framework to provide clinicians with the ability to conduct complex analyses on elaborate research topics using cascaded queries to resolve internal time-event dependencies in the research questions, as an ext...
Acetaminophen
Out-of-Hospital Cardiac Arrest
Body Temperature
Medical Records Systems, Computerized
Liver Function Tests
Humans
Data Science
Fever
User-Computer Interface
Software
Time Factors
Programming Languages
Liver
Algorithms
Data Collection
Brain Injuries, Traumatic
Natural Language Processing
Language
Medical Informatics
Internet
Automatic recognition of therapy progress among children with autism.
Scientific reports
Oct 24, 2017
The article presents a research study on recognizing therapy progress among children with autism spectrum disorder. The progress is recognized on the basis of behavioural data gathered via five specially designed tablet games. Over 180 distinct param...
Ensembles of NLP Tools for Data Element Extraction from Clinical Notes.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Feb 10, 2017
Natural Language Processing (NLP) is essential for concept extraction from narrative text in electronic health records (EHR). To extract numerous and diverse concepts, such as data elements (i.e., important concepts related to a certain medical condi...
Natural language processing to extract symptoms of severe mental illness from clinical text: the Clinical Record Interactive Search Comprehensive Data Extraction (CRIS-CODE) project.
BMJ open
Jan 17, 2017
OBJECTIVES: We sought to use natural language processing to develop a suite of language models to capture key symptoms of severe mental illness (SMI) from clinical text, to facilitate the secondary use of mental healthcare data in research.
Handling limited datasets with neural networks in medical applications: A small-data approach.
Artificial intelligence in medicine
Jan 2, 2017
MOTIVATION: Single-centre studies in medical domain are often characterised by limited samples due to the complexity and high costs of patient data collection. Machine learning methods for regression modelling of small datasets (less than 10 observat...
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 32021
- Neural Networks, Computer 30231
- Algorithms 27405
- Deep Learning 26912
- Artificial Intelligence 24844
- Robotics 13389
- Image Processing, Computer-Assisted 9738
- Retrospective Studies 9346
- Magnetic Resonance Imaging 6347
- Reproducibility of Results 5670
- Tomography, X-Ray Computed 4866
- Support Vector Machine 4771
- Computational Biology 4333
- Brain 4129
- Computer Simulation 3935
Recent Journals
- Scientific reports 6800
- Sensors (Basel, Switzerland) 4794
- PloS one 4210
- Neural networks : the official journal of the International Neural Network Society 3026
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1916
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1378
- IEEE journal of biomedical and health informatics 1172
- Journal of chemical information and modeling 1066
- Nature communications 1047
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 874
- Journal of medical Internet research 864
- Briefings in bioinformatics 853