AIMC Topic: Machine Learning

Clear Filters Showing 24411 to 24420 of 34417 articles

Embracing Environmental Genomics and Machine Learning for Routine Biomonitoring.

Trends in microbiology
Genomics is fast becoming a routine tool in medical diagnostics and cutting-edge biotechnologies. Yet, its use for environmental biomonitoring is still considered a futuristic ideal. Until now, environmental genomics was mainly used as a replacement ...

Identifying mouse developmental essential genes using machine learning.

Disease models & mechanisms
The genes that are required for organismal survival are annotated as 'essential genes'. Identifying all the essential genes of an animal species can reveal critical functions that are needed during the development of the organism. To inform studies o...

Prediction of Hemodialysis Timing Based on LVW Feature Selection and Ensemble Learning.

Journal of medical systems
We propose an improved model based on LVW embedded model feature extractor and ensemble learning for improving prediction accuracy of hemodialysis timing in this paper. Due to this drawback caused by feature extraction models, we adopt an enhanced LV...

A signature-based machine learning model for distinguishing bipolar disorder and borderline personality disorder.

Translational psychiatry
Mobile technologies offer new opportunities for prospective, high resolution monitoring of long-term health conditions. The opportunities seem of particular promise in psychiatry where diagnoses often rely on retrospective and subjective recall of mo...

Structured illumination microscopy combined with machine learning enables the high throughput analysis and classification of virus structure.

eLife
Optical super-resolution microscopy techniques enable high molecular specificity with high spatial resolution and constitute a set of powerful tools in the investigation of the structure of supramolecular assemblies such as viruses. Here, we report o...

Tuning model parameters in class-imbalanced learning with precision-recall curve.

Biometrical journal. Biometrische Zeitschrift
An issue for class-imbalanced learning is what assessment metric should be employed. So far, precision-recall curve (PRC) as a metric is rarely used in practice as compared with its alternative of receiver operating characteristic (ROC). This study i...

Unsupervised pathology detection in medical images using conditional variational autoencoders.

International journal of computer assisted radiology and surgery
PURPOSE: Pathology detection in medical image data is an important but a rather complicated task. In particular, the big variability of the pathologies is a challenge to automatic detection methods and even to machine learning methods. Supervised alg...

Applying Machine Learning Algorithms to Segment High-Cost Patient Populations.

Journal of general internal medicine
BACKGROUND: Efforts to improve the value of care for high-cost patients may benefit from care management strategies targeted at clinically distinct subgroups of patients.