AIMC Topic: Neural Networks, Computer

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Application of preoperative artificial neural network based on blood biomarkers and clinicopathological parameters for predicting long-term survival of patients with gastric cancer.

World journal of gastroenterology Nov 21, 2019
BACKGROUND: Because of the powerful abilities of self-learning and handling complex biological information, artificial neural network (ANN) models have been widely applied to disease diagnosis, imaging analysis, and prognosis prediction. However, the...
Young Adult Adult Stomach Neoplasms Adolescent Male Aged Neural Networks, Computer Child Middle Aged Aged, 80 and over Biomarkers Logistic Models China Precision Medicine Prognosis Female Humans
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Granular computing-neural network model for prediction of longitudinal dispersion coefficients in rivers.

Water science and technology : a journal of the International Association on Water Pollution Research Nov 1, 2019
Successful application of one-dimensional advection-dispersion models in rivers depends on the accuracy of the longitudinal dispersion coefficient (LDC). In this regards, this study aims to introduce an appropriate approach to estimate LDC in natural ...
Fuzzy Logic Neural Networks, Computer Rivers Artificial Intelligence
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Learning epidemic threshold in complex networks by Convolutional Neural Network.

Chaos (Woodbury, N.Y.) Nov 1, 2019
Deep learning has taken part in the competition since not long ago to learn and identify phase transitions in physical systems such as many-body quantum systems, whose underlying lattice structures are generally regular as they are in Euclidean space...
Machine Learning Models, Biological Epidemics Humans Neural Networks, Computer
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An FP's guide to AI-enabled clinical decision support.

The Journal of family practice Nov 1, 2019
To better understand the capabilities and challenges of artificial intelligence and machine learning, we look at the role they can play in screening for retinopathy and colon cancer.
Humans Neural Networks, Computer Artificial Intelligence Machine Learning Clinical Decision-Making Family Practice Sensitivity and Specificity Early Detection of Cancer Colonoscopy Colonic Neoplasms Retinal Diseases Decision Support Systems, Clinical
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AI Copernicus 'discovers' that Earth orbits the Sun.

Nature Nov 1, 2019
Planets Neural Networks, Computer Machine Learning Algorithms Computer Simulation Physics
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Ultrasonic Diagnosis of Breast Nodules Using Modified Faster R-CNN.

Ultrasonic imaging Nov 1, 2019
Breast cancer has become the biggest threat to female health. Ultrasonic diagnosis of breast cancer based on artificial intelligence is basically a classification of benign and malignant tumors, which does not meet clinical demand. Besides, the curre...
Image Processing, Computer-Assisted Ultrasonography, Mammary Breast Datasets as Topic Neural Networks, Computer Female Breast Neoplasms Humans
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Cohort selection for clinical trials using deep learning models.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: The goal of the 2018 n2c2 shared task on cohort selection for clinical trials (track 1) is to identify which patients meet the selection criteria for clinical trials. Cohort selection is a particularly demanding task to which natural langu...
Patient Selection Data Mining Clinical Trials as Topic Deep Learning Natural Language Processing Humans Neural Networks, Computer
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Evaluating shallow and deep learning strategies for the 2018 n2c2 shared task on clinical text classification.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: Automated clinical phenotyping is challenging because word-based features quickly turn it into a high-dimensional problem, in which the small, privacy-restricted, training datasets might lead to overfitting. Pretrained embeddings might sol...
Deep Learning Logistic Models Natural Language Processing Humans Neural Networks, Computer Machine Learning Clinical Trials as Topic Classification Patient Selection Data Mining
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Medical knowledge infused convolutional neural networks for cohort selection in clinical trials.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: In this era of digitized health records, there has been a marked interest in using de-identified patient records for conducting various health related surveys. To assist in this research effort, we developed a novel clinical data represent...
Clinical Trials as Topic Neural Networks, Computer Deep Learning Support Vector Machine Natural Language Processing Humans Patient Selection Data Mining
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Cohort selection for clinical trials using hierarchical neural network.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: Cohort selection for clinical trials is a key step for clinical research. We proposed a hierarchical neural network to determine whether a patient satisfied selection criteria or not.
Neural Networks, Computer Machine Learning Electronic Health Records Humans Data Mining Clinical Trials as Topic Electronic Data Processing Mental Health Natural Language Processing Patient Selection
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