AIMC Topic: Machine Learning

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Evaluation of machine learning solutions in medicine.

CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne

Document-Image Related Visual Sensors and Machine Learning Techniques.

Sensors (Basel, Switzerland)
Document imaging/scanning approaches are essential techniques for digitalizing documents in various real-world contexts, e.g.,  libraries, office communication, managementof workflows, and electronic archiving [...].

GenTB: A user-friendly genome-based predictor for tuberculosis resistance powered by machine learning.

Genome medicine
BACKGROUND: Multidrug-resistant Mycobacterium tuberculosis (Mtb) is a significant global public health threat. Genotypic resistance prediction from Mtb DNA sequences offers an alternative to laboratory-based drug-susceptibility testing. User-friendly...

Modeling and prediction of pressure injury in hospitalized patients using artificial intelligence.

BMC medical informatics and decision making
BACKGROUND: Hospital-acquired pressure injuries (PIs) induce significant patient suffering, inflate healthcare costs, and increase clinical co-morbidities. PIs are mostly due to bed-immobility, sensory impairment, bed positioning, and length of hospi...

Application of Various Machine Learning Techniques in Predicting Total Organic Carbon from Well Logs.

Computational intelligence and neuroscience
Unconventional resources have recently gained a lot of attention, and as a consequence, there has been an increase in research interest in predicting total organic carbon (TOC) as a crucial quality indicator. TOC is commonly measured experimentally; ...

Implementing machine learning in medicine.

CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne

Predicting spatiotemporally-resolved mean air temperature over Sweden from satellite data using an ensemble model.

Environmental research
Mapping of air temperature (Ta) at high spatiotemporal resolution is critical to reducing exposure assessment errors in epidemiological studies on the health effects of air temperature. In this study, we applied a three-stage ensemble model to estima...

The three ghosts of medical AI: Can the black-box present deliver?

Artificial intelligence in medicine
Our title alludes to the three Christmas ghosts encountered by Ebenezer Scrooge in A Christmas Carol, who guide Ebenezer through the past, present, and future of Christmas holiday events. Similarly, our article takes readers through a journey of the ...

A proof of concept study for machine learning application to stenosis detection.

Medical & biological engineering & computing
This proof of concept (PoC) assesses the ability of machine learning (ML) classifiers to predict the presence of a stenosis in a three vessel arterial system consisting of the abdominal aorta bifurcating into the two common iliacs. A virtual patient ...

CYPlebrity: Machine learning models for the prediction of inhibitors of cytochrome P450 enzymes.

Bioorganic & medicinal chemistry
The vast majority of approved drugs are metabolized by the five major cytochrome P450 (CYP) isozymes, 1A2, 2C9, 2C19, 2D6 and 3A4. Inhibition of CYP isozymes can cause drug-drug interactions with severe pharmacological and toxicological consequences....