AIMC Topic: Data Accuracy

Clear Filters Showing 71 to 80 of 180 articles

A deep learning-based, unsupervised method to impute missing values in electronic health records for improved patient management.

Journal of biomedical informatics Oct 1, 2020
Electronic health records (EHRs) often suffer missing values, for which recent advances in deep learning offer a promising remedy. We develop a deep learning-based, unsupervised method to impute missing values in patient records, then examine its imp...
Research Design Electronic Health Records Humans Deep Learning Data Accuracy
View on PubMed DOI

Citation screening using crowdsourcing and machine learning produced accurate results: Evaluation of Cochrane's modified Screen4Me service.

Journal of clinical epidemiology Sep 30, 2020
OBJECTIVES: To assess the feasibility of a modified workflow that uses machine learning and crowdsourcing to identify studies for potential inclusion in a systematic review.
Research Design Biomedical Research Randomized Controlled Trials as Topic Humans Machine Learning Algorithms Crowdsourcing Systematic Reviews as Topic Data Collection Data Accuracy
View on PubMed DOI

On the performance of fusion based planet-scope and Sentinel-2 data for crop classification using inception inspired deep convolutional neural network.

PloS one Sep 28, 2020
This research work aims to develop a deep learning-based crop classification framework for remotely sensed time series data. Tobacco is a major revenue generating crop of Khyber Pakhtunkhwa (KP) province of Pakistan, with over 90% of the country's To...
Vegetables Humans Triticum Nicotiana Deep Learning Pakistan Satellite Imagery Agriculture Data Accuracy
View on PubMed DOI

High-content image generation for drug discovery using generative adversarial networks.

Neural networks : the official journal of the International Neural Network Society Sep 20, 2020
Immense amount of high-content image data generated in drug discovery screening requires computationally driven automated analysis. Emergence of advanced machine learning algorithms, like deep learning models, has transformed the interpretation and a...
Algorithms Drug Discovery Deep Learning Image Processing, Computer-Assisted Data Accuracy Humans Neural Networks, Computer
View on PubMed DOI

Review of medical image recognition technologies to detect melanomas using neural networks.

BMC bioinformatics Sep 14, 2020
BACKGROUND: Melanoma is one of the most aggressive types of cancer that has become a world-class problem. According to the World Health Organization estimates, 132,000 cases of the disease and 66,000 deaths from malignant melanoma and other forms of ...
Deep Learning Data Accuracy Melanoma Humans Image Interpretation, Computer-Assisted Early Detection of Cancer Skin Neoplasms Sensitivity and Specificity Melanoma, Cutaneous Malignant
View on PubMed DOI

Review of Clinical Research Informatics.

Yearbook of medical informatics Aug 21, 2020
OBJECTIVES: Clinical Research Informatics (CRI) declares its scope in its name, but its content, both in terms of the clinical research it supports-and sometimes initiates-and the methods it has developed over time, reach much further than the name s...
Computer Security Privacy Data Accuracy Medical Informatics Electronic Health Records Biomedical Research Big Data Humans Artificial Intelligence
View on PubMed DOI

Improving the accuracy of medical diagnosis with causal machine learning.

Nature communications Aug 11, 2020
Machine learning promises to revolutionize clinical decision making and diagnosis. In medical diagnosis a doctor aims to explain a patient's symptoms by determining the diseases causing them. However, existing machine learning approaches to diagnosis...
Data Accuracy Disease Diagnosis Models, Statistical Bayes Theorem Data Collection Humans Machine Learning Algorithms Diagnosis, Computer-Assisted Decision Making
View on PubMed DOI

Deep learning-based classification of the mouse estrous cycle stages.

Scientific reports Jul 16, 2020
There is a rapidly growing demand for female animals in preclinical animal, and thus it is necessary to determine animals' estrous cycle stages from vaginal smear cytology. However, the determination of estrous stages requires extensive training, tak...
Leukocytes Estrous Cycle Data Accuracy Humans Vagina Animals Neural Networks, Computer Female Male Mice, Inbred C57BL ROC Curve Adult Deep Learning Epithelial Cells Vaginal Smears Sensitivity and Specificity Mice Area Under Curve
View on PubMed DOI

Exploiting defective RRAM array as synapses of HTM spatial pooler with boost-factor adjustment scheme for defect-tolerant neuromorphic systems.

Scientific reports Jul 16, 2020
A crossbar array architecture employing resistive switching memory (RRAM) as a synaptic element accelerates vector-matrix multiplication in a parallel fashion, enabling energy-efficient pattern recognition. To implement the function of the synapse in...
Transistors, Electronic Humans Neocortex Data Management Software Algorithms Computer Simulation Data Accuracy Synapses Pattern Recognition, Automated Memory Neural Networks, Computer
View on PubMed DOI

Feature Selection for High-Dimensional and Imbalanced Biomedical Data Based on Robust Correlation Based Redundancy and Binary Grasshopper Optimization Algorithm.

Genes Jun 27, 2020
The training machine learning algorithm from an imbalanced data set is an inherently challenging task. It becomes more demanding with limited samples but with a massive number of features (high dimensionality). The high dimensional and imbalanced dat...
Data Accuracy Humans Genomics Machine Learning Databases, Genetic Animals Data Interpretation, Statistical
View on PubMed DOI
Popular Topics
Recent Journals