AIMC Topic: Machine Learning

Clear Filters Showing 23071 to 23080 of 34417 articles

The striatum specifies the statistics of behavior.

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology Aug 29, 2019
Humans Machine Learning Corpus Striatum Animals Neurons Locomotion
View on PubMed DOI

A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 29, 2019
One of the challenges in motor imagery (MI) classification tasks is finding an easy-handled electroencephalogram (EEG) representation method which can preserve not only temporal features but also spatial ones. To fully utilize the features on various...
Reproducibility of Results Electroencephalography Brain-Computer Interfaces Movement Neural Networks, Computer Imagination Humans Machine Learning Algorithms
View on PubMed DOI

Intra- and Interspecies Variability of Single-Cell Innate Fluorescence Signature of Microbial Cell.

Applied and environmental microbiology Aug 29, 2019
Here we analyzed the innate fluorescence signature of the single microbial cell, within both clonal and mixed populations of microorganisms. We found that even very similarly shaped cells differ noticeably in their autofluorescence features and that ...
Microscopy, Confocal Aspergillus fumigatus Machine Learning Pseudomonas putida Fluorescence Single-Cell Analysis
View on PubMed DOI

Machine Learning to Understand the Immune-Inflammatory Pathways in Fibromyalgia.

International journal of molecular sciences Aug 29, 2019
Fibromyalgia (FM) is a chronic syndrome characterized by widespread musculoskeletal pain, and physical and emotional symptoms. Although its pathophysiology is largely unknown, immune-inflammatory pathways may be involved. We examined serum interleuki...
Pain Inflammation Mediators Multivariate Analysis Fibromyalgia Surveys and Questionnaires Signal Transduction C-Reactive Protein Severity of Illness Index Humans Psychiatric Status Rating Scales Depression Middle Aged Quality of Life Anxiety Machine Learning Cytokines Female
View on PubMed DOI

Image-based Classification of Tumor Type and Growth Rate using Machine Learning: a preclinical study.

Scientific reports Aug 29, 2019
Medical images such as magnetic resonance (MR) imaging provide valuable information for cancer detection, diagnosis, and prognosis. In addition to the anatomical information these images provide, machine learning can identify texture features from th...
Image Interpretation, Computer-Assisted Machine Learning Algorithms Brain Neoplasms Humans Neural Networks, Computer Glioma Magnetic Resonance Imaging Neoplasm Staging
View on PubMed DOI

Reply to "How I learned to stop worrying and love machine learning" by Mattessich et al.

Clinics in dermatology Aug 28, 2019
Machine Learning
View on PubMed DOI

Dynamic Metabolomics for Engineering Biology: Accelerating Learning Cycles for Bioproduction.

Trends in biotechnology Aug 28, 2019
Metabolomics is a powerful tool to rationally guide the metabolic engineering of synthetic bioproduction pathways. Current reports indicate great potential to further develop metabolomics-directed synthetic bioproduction. Advanced mass metabolomics m...
Synthetic Biology Bioengineering Mass Spectrometry Metabolomics Metabolic Networks and Pathways Machine Learning
View on PubMed DOI

Prediction of Immunohistochemistry of Suspected Thyroid Nodules by Use of Machine Learning-Based Radiomics.

AJR. American journal of roentgenology Aug 28, 2019
The purpose of this study was to develop and validate a radiomics model for evaluating immunohistochemical characteristics in patients with suspected thyroid nodules. A total of 103 patients (training cohort-to-validation cohort ratio, ≈ 3:1) with ...
Immunohistochemistry Iodide Peroxidase Keratin-19 Thyroidectomy Thyroid Nodule Galectin 3 Female Reproducibility of Results Aged Biomarkers Adult Retrospective Studies Male Tomography, X-Ray Computed Middle Aged Humans Machine Learning
View on PubMed DOI

A machine learning-assisted decision-support model to better identify patients with prostate cancer requiring an extended pelvic lymph node dissection.

BJU international Aug 28, 2019
OBJECTIVES: To develop a machine learning (ML)-assisted model to identify candidates for extended pelvic lymph node dissection (ePLND) in prostate cancer by integrating clinical, biopsy, and precisely defined magnetic resonance imaging (MRI) findings...
Aged Aged, 80 and over Male Humans Machine Learning Retrospective Studies Prostatic Neoplasms Prostate Pelvis Magnetic Resonance Imaging Lymph Node Excision Decision Trees Middle Aged Lymph Nodes Support Vector Machine
View on PubMed DOI

Multicategory individualized treatment regime using outcome weighted learning.

Biometrics Aug 28, 2019
Individualized treatment regimes (ITRs) aim to recommend treatments based on patient-specific characteristics in order to maximize the expected clinical outcome. Outcome weighted learning approaches have been proposed for this optimization problem wi...
Humans Machine Learning Algorithms Models, Statistical Clinical Trials as Topic Computer Simulation Risk Precision Medicine Treatment Outcome
View on PubMed DOI
Popular Topics
Recent Journals