AIMC Topic: Humans

Showing 66241 to 66250 of 95995 articles
Clear Filters

eToxPred: a machine learning-based approach to estimate the toxicity of drug candidates.

BMC pharmacology & toxicology Jan 8, 2019
BACKGROUND: The efficiency of drug development defined as a number of successfully launched new pharmaceuticals normalized by financial investments has significantly declined. Nonetheless, recent advances in high-throughput experimental techniques an...
Drug Discovery Drug-Related Side Effects and Adverse Reactions Machine Learning Algorithms Animals Humans
View on PubMed DOI

Automatic thyroid nodule recognition and diagnosis in ultrasound imaging with the YOLOv2 neural network.

World journal of surgical oncology Jan 8, 2019
BACKGROUND: In this study, images of 2450 benign thyroid nodules and 2557 malignant thyroid nodules were collected and labeled, and an automatic image recognition and diagnosis system was established by deep learning using the YOLOv2 neural network. ...
Humans Retrospective Studies Female Neural Networks, Computer Prognosis Ultrasonography Thyroid Nodule ROC Curve Male Image Interpretation, Computer-Assisted Diagnosis, Differential Middle Aged Predictive Value of Tests Aged Thyroid Gland Young Adult Adult
View on PubMed DOI

Predicting patient-reported outcomes following hip and knee replacement surgery using supervised machine learning.

BMC medical informatics and decision making Jan 8, 2019
BACKGROUND: Machine-learning classifiers mostly offer good predictive performance and are increasingly used to support shared decision-making in clinical practice. Focusing on performance and practicability, this study evaluates prediction of patient...
Male Middle Aged Models, Theoretical Patient Reported Outcome Measures Arthroplasty, Replacement, Hip Humans Aged, 80 and over Supervised Machine Learning Arthroplasty, Replacement, Knee Young Adult Adult Prognosis Female Aged
View on PubMed DOI

An Intelligent Sleep Apnea Classification System Based on EEG Signals.

Journal of medical systems Jan 8, 2019
Sleep Apnea is a sleep disorder which causes stop in breathing for a short duration of time that happens to human beings and animals during sleep. Electroencephalogram (EEG) plays a vital role in detecting the sleep apnea by sensing and recording the...
Adult Male Middle Aged Humans Neural Networks, Computer Machine Learning Sleep Apnea Syndromes Polysomnography Support Vector Machine Electroencephalography Signal Processing, Computer-Assisted
View on PubMed DOI

Nasopharyngeal carcinoma segmentation based on enhanced convolutional neural networks using multi-modal metric learning.

Physics in medicine and biology Jan 8, 2019
Multi-modality examinations have been extensively applied in current clinical cancer management. Leveraging multi-modality medical images can be highly beneficial for automated tumor segmentation as they provide complementary information that could m...
Aged Young Adult Adult Neural Networks, Computer Tomography, X-Ray Computed Female Magnetic Resonance Imaging Multimodal Imaging Chemoradiotherapy Nasopharyngeal Carcinoma Humans Male Middle Aged Image Processing, Computer-Assisted
View on PubMed DOI

An Ensemble Model With Clustering Assumption for Warfarin Dose Prediction in Chinese Patients.

IEEE journal of biomedical and health informatics Jan 7, 2019
The prediction of daily stable warfarin dosage for a specific patient is difficult. To improve the predictive accuracy and to build a highly accurate predictive model, we developed an ensemble learning method, called evolutionary fuzzy c-mean (EFCM) ...
Humans Neural Networks, Computer Algorithms China Warfarin Fuzzy Logic Cluster Analysis Models, Statistical
View on PubMed DOI

Fast ScanNet: Fast and Dense Analysis of Multi-Gigapixel Whole-Slide Images for Cancer Metastasis Detection.

IEEE transactions on medical imaging Jan 7, 2019
Lymph node metastasis is one of the most important indicators in breast cancer diagnosis, that is traditionally observed under the microscope by pathologists. In recent years, with the dramatic advance of high-throughput scanning and deep learning te...
Image Interpretation, Computer-Assisted Histocytochemistry Algorithms Deep Learning Lymph Nodes Lymphatic Metastasis Humans
View on PubMed DOI

Feasibility of a Support Vector Machine Classifier for Myofascial Pain Syndrome: Diagnostic Case-Control Study.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Jan 7, 2019
OBJECTIVES: Myofascial pain syndrome (MPS) is the most common cause of chronic pain worldwide. The diagnosis of MPS is subjective, which has created a need for a robust quantitative method of diagnosing MPS. We propose that using a support vector mac...
Humans Algorithms Ultrasonography Sensitivity and Specificity Support Vector Machine Syndrome Male Myofascial Pain Syndromes Female Case-Control Studies Feasibility Studies Superficial Back Muscles Young Adult Adult
View on PubMed DOI

Using natural language processing to extract clinically useful information from Chinese electronic medical records.

International journal of medical informatics Jan 7, 2019
AIMS: To develop a natural language processing (NLP)-based algorithm for extracting clinically useful information for patients with hepatocellular carcinoma (HCC) from Chinese electronic medical records (EMRs) and use these data for the assessment of...
Natural Language Processing China Information Storage and Retrieval Humans Algorithms Liver Neoplasms Electronic Health Records Carcinoma, Hepatocellular
View on PubMed DOI

DCDE: An Efficient Deep Convolutional Divergence Encoding Method for Human Promoter Recognition.

IEEE transactions on nanobioscience Jan 7, 2019
Efficient human promoter feature extraction is still a major challenge in genome analysis as it can better understand human gene regulation and will be useful for experimental guidance. Although many machine learning algorithms have been developed fo...
Humans Neural Networks, Computer Support Vector Machine Promoter Regions, Genetic
View on PubMed DOI
Popular Topics
Recent Journals