AIMC Topic: Humans

Showing 66421 to 66430 of 95995 articles
Clear Filters

Prediction of protein self-interactions using stacked long short-term memory from protein sequences information.

BMC systems biology Dec 21, 2018
BACKGROUND: Self-interacting Proteins (SIPs) plays a critical role in a series of life function in most living cells. Researches on SIPs are important part of molecular biology. Although numerous SIPs data be provided, traditional experimental method...
Protein Interaction Mapping Humans Computational Biology Neural Networks, Computer Saccharomyces cerevisiae
View on PubMed DOI

Predicting tumor cell line response to drug pairs with deep learning.

BMC bioinformatics Dec 21, 2018
BACKGROUND: The National Cancer Institute drug pair screening effort against 60 well-characterized human tumor cell lines (NCI-60) presents an unprecedented resource for modeling combinational drug activity.
Drug Evaluation, Preclinical National Cancer Institute (U.S.) Humans Neural Networks, Computer Cell Line, Tumor Deep Learning United States
View on PubMed DOI

Real-time data analysis for medical diagnosis using FPGA-accelerated neural networks.

BMC bioinformatics Dec 21, 2018
BACKGROUND: Real-time analysis of patient data during medical procedures can provide vital diagnostic feedback that significantly improves chances of success. With sensors becoming increasingly fast, frameworks such as Deep Neural Networks are requir...
(2)
Machine Learning Data Analysis Humans Neoplasms Neural Networks, Computer
View on PubMed DOI

Sparse coding of pathology slides compared to transfer learning with deep neural networks.

BMC bioinformatics Dec 21, 2018
BACKGROUND: Histopathology images of tumor biopsies present unique challenges for applying machine learning to the diagnosis and treatment of cancer. The pathology slides are high resolution, often exceeding 1GB, have non-uniform dimensions, and ofte...
Deep Learning Neural Networks, Computer Neoplasms Humans
View on PubMed DOI

Biomedical semantic indexing by deep neural network with multi-task learning.

BMC bioinformatics Dec 21, 2018
BACKGROUND: Biomedical semantic indexing is important for information retrieval and many other research fields in bioinformatics. It annotates biomedical citations with Medical Subject Headings. In face of unbalanced category distribution in the trai...
(2)
Humans Neural Networks, Computer Algorithms Abstracting and Indexing Deep Learning Semantics
View on PubMed DOI

Scalable deep text comprehension for Cancer surveillance on high-performance computing.

BMC bioinformatics Dec 21, 2018
BACKGROUND: Deep Learning (DL) has advanced the state-of-the-art capabilities in bioinformatics applications which has resulted in trends of increasingly sophisticated and computationally demanding models trained by larger and larger data sets. This ...
Computing Methodologies Neural Networks, Computer Deep Learning Neoplasms Humans Comprehension
View on PubMed DOI

CANDLE/Supervisor: a workflow framework for machine learning applied to cancer research.

BMC bioinformatics Dec 21, 2018
BACKGROUND: Current multi-petaflop supercomputers are powerful systems, but present challenges when faced with problems requiring large machine learning workflows. Complex algorithms running at system scale, often with different patterns that require...
Neoplasms Early Detection of Cancer Workflow Neural Networks, Computer Machine Learning Humans
View on PubMed DOI

Deep learning in the cross-time frequency domain for sleep staging from a single-lead electrocardiogram.

Physiological measurement Dec 21, 2018
OBJECTIVE: This study classifies sleep stages from a single lead electrocardiogram (ECG) using beat detection, cardiorespiratory coupling in the time-frequency domain and a deep convolutional neural network (CNN).
Neural Networks, Computer Wakefulness Deep Learning Sleep Stages Time Factors Support Vector Machine Electrocardiography Humans Signal Processing, Computer-Assisted
View on PubMed DOI

Tumor co-segmentation in PET/CT using multi-modality fully convolutional neural network.

Physics in medicine and biology Dec 21, 2018
Automatic tumor segmentation from medical images is an important step for computer-aided cancer diagnosis and treatment. Recently, deep learning has been successfully applied to this task, leading to state-of-the-art performance. However, most of exi...
Deep Learning Positron Emission Tomography Computed Tomography Humans Neoplasms
View on PubMed DOI

A Machine Hearing System for Robust Cough Detection Based on a High-Level Representation of Band-Specific Audio Features.

IEEE transactions on bio-medical engineering Dec 20, 2018
UNLABELLED: Cough is a protective reflex conveying information on the state of the respiratory system. Cough assessment has been limited so far to subjective measurement tools or uncomfortable (i.e., non-wearable) cough monitors. This limits the pote...
Sensitivity and Specificity Male Female Aged Monitoring, Physiologic Cough Middle Aged Support Vector Machine Humans Signal-To-Noise Ratio Signal Processing, Computer-Assisted Sound Spectrography
View on PubMed DOI
Popular Topics
Recent Journals