AIMC Topic: Machine Learning

Clear Filters Showing 25441 to 25450 of 34417 articles

Computational Prediction of Sigma-54 Promoters in Bacterial Genomes by Integrating Motif Finding and Machine Learning Strategies.

IEEE/ACM transactions on computational biology and bioinformatics Mar 15, 2018
Sigma factor, as a unit of RNA polymerase holoenzyme, is a critical factor in the process of gene transcriptional regulation. It recognizes the specific DNA sites and brings the core enzyme of RNA polymerase to the upstream regions of target genes. T...
Genome, Bacterial Amino Acid Motifs DNA-Directed RNA Polymerases RNA Polymerase Sigma 54 Machine Learning Base Sequence Computational Biology Software False Positive Reactions Escherichia coli Reproducibility of Results Promoter Regions, Genetic Models, Statistical Transcription, Genetic Escherichia coli Proteins
View on PubMed DOI

Using machine learning and quantum chemistry descriptors to predict the toxicity of ionic liquids.

Journal of hazardous materials Mar 15, 2018
Large-scale application of ionic liquids (ILs) hinges on the advancement of designable and eco-friendly nature. Research of the potential toxicity of ILs towards different organisms and trophic levels is insufficient. Quantitative structure-activity ...
Rats Models, Theoretical Ionic Liquids Quantitative Structure-Activity Relationship Machine Learning Reproducibility of Results Animals Cell Line, Tumor
View on PubMed DOI

The Promise and Perils of Wearable Physiological Sensors for Diabetes Management.

Journal of diabetes science and technology Mar 15, 2018
Development of truly useful wearable physiologic monitoring devices for use in diabetes management is still in its infancy. From wearable activity monitors such as fitness trackers and smart watches to contact lenses measuring glucose levels in tears...
Blood Glucose Self-Monitoring Humans Machine Learning Wearable Electronic Devices Diabetes Mellitus, Type 1
View on PubMed DOI

Detecting and classifying lesions in mammograms with Deep Learning.

Scientific reports Mar 15, 2018
In the last two decades, Computer Aided Detection (CAD) systems were developed to help radiologists analyse screening mammograms, however benefits of current CAD technologies appear to be contradictory, therefore they should be improved to be ultimat...
ROC Curve Mass Screening Early Detection of Cancer Mammography Data Accuracy Female Breast Neoplasms Diagnosis, Computer-Assisted Deep Learning Humans Neural Networks, Computer Machine Learning Databases, Factual
View on PubMed DOI

Development and validation of a diagnostic model for early differentiation of sepsis and non-infectious SIRS in critically ill children - a data-driven approach using machine-learning algorithms.

BMC pediatrics Mar 15, 2018
BACKGROUND: Since early antimicrobial therapy is mandatory in septic patients, immediate diagnosis and distinction from non-infectious SIRS is essential but hampered by the similarity of symptoms between both entities. We aimed to develop a diagnosti...
Infant, Newborn Reproducibility of Results Male Infant Decision Support Techniques Prospective Studies Critical Illness Female Systemic Inflammatory Response Syndrome Follow-Up Studies Diagnosis, Differential Early Diagnosis Sepsis Adolescent Child, Preschool Child Humans Machine Learning Algorithms
View on PubMed DOI

Assessing microscope image focus quality with deep learning.

BMC bioinformatics Mar 15, 2018
BACKGROUND: Large image datasets acquired on automated microscopes typically have some fraction of low quality, out-of-focus images, despite the use of hardware autofocus systems. Identification of these images using automated image analysis with hig...
Humans Bone Neoplasms Diagnostic Imaging Microscopy Tumor Cells, Cultured Machine Learning Software Image Processing, Computer-Assisted Osteosarcoma
View on PubMed DOI

Dynamic functional network connectivity discriminates mild traumatic brain injury through machine learning.

NeuroImage. Clinical Mar 15, 2018
Mild traumatic brain injury (mTBI) can result in symptoms that affect a person's cognitive and social abilities. Improvements in diagnostic methodologies are necessary given that current clinical techniques have limited accuracy and are solely based ...
Magnetic Resonance Imaging Brain Concussion Humans Brain Injuries Female Cerebellum Machine Learning Adult Nerve Net Brain Male Middle Aged
View on PubMed DOI

Automatically measuring brain ventricular volume within PACS using artificial intelligence.

PloS one Mar 15, 2018
The picture archiving and communications system (PACS) is currently the standard platform to manage medical images but lacks analytical capabilities. Staying within PACS, the authors have developed an automatic method to retrieve the medical data and...
Cerebral Ventricles Humans Databases, Factual Machine Learning Female Algorithms Male Neuroimaging
View on PubMed DOI

Prediction of cardiac death after adenosine myocardial perfusion SPECT based on machine learning.

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology Mar 14, 2018
BACKGROUND: We developed machine-learning (ML) models to estimate a patient's risk of cardiac death based on adenosine myocardial perfusion SPECT (MPS) and associated clinical data, and compared their performance to baseline logistic regression (LR)....
Female Reproducibility of Results Risk Aged Tomography, Emission-Computed, Single-Photon Male Death, Sudden, Cardiac Middle Aged Regression Analysis ROC Curve Area Under Curve Support Vector Machine Heart Follow-Up Studies Probability Humans Machine Learning Algorithms
View on PubMed DOI

Predicting Treatment Response to Intra-arterial Therapies for Hepatocellular Carcinoma with the Use of Supervised Machine Learning-An Artificial Intelligence Concept.

Journal of vascular and interventional radiology : JVIR Mar 14, 2018
PURPOSE: To use magnetic resonance (MR) imaging and clinical patient data to create an artificial intelligence (AI) framework for the prediction of therapeutic outcomes of transarterial chemoembolization by applying machine learning (ML) techniques.
Treatment Outcome Middle Aged Contrast Media Humans Aged Machine Learning Antineoplastic Agents Magnetic Resonance Imaging Neoplasm Staging Adult Retrospective Studies Predictive Value of Tests Liver Neoplasms Doxorubicin Sensitivity and Specificity Female Chemoembolization, Therapeutic Carcinoma, Hepatocellular Male Ethiodized Oil
View on PubMed DOI
Popular Topics
Recent Journals