AIMC Topic: Machine Learning

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The World Health Organization Adult Attention-Deficit/Hyperactivity Disorder Self-Report Screening Scale for DSM-5.

JAMA psychiatry
IMPORTANCE: Recognition that adult attention-deficit/hyperactivity disorder (ADHD) is common, seriously impairing, and usually undiagnosed has led to the development of adult ADHD screening scales for use in community, workplace, and primary care set...

RED-ML: a novel, effective RNA editing detection method based on machine learning.

GigaScience
With the advancement of second generation sequencing techniques, our ability to detect and quantify RNA editing on a global scale has been vastly improved. As a result, RNA editing is now being studied under a growing number of biological conditions ...

Using and understanding cross-validation strategies. Perspectives on Saeb et al.

GigaScience
This three-part review takes a detailed look at the complexities of cross-validation, fostered by the peer review of Saeb et al.'s paper entitled "The need to approximate the use-case in clinical machine learning." It contains perspectives by reviewe...

The need to approximate the use-case in clinical machine learning.

GigaScience
The availability of smartphone and wearable sensor technology is leading to a rapid accumulation of human subject data, and machine learning is emerging as a technique to map those data into clinical predictions. As machine learning algorithms are in...

What "learning" machines will mean for medicine.

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

Semantics derived automatically from language corpora contain human-like biases.

Science (New York, N.Y.)
Machine learning is a means to derive artificial intelligence by discovering patterns in existing data. Here, we show that applying machine learning to ordinary human language results in human-like semantic biases. We replicated a spectrum of known b...

Computer-Assisted Decision Support for Student Admissions Based on Their Predicted Academic Performance.

American journal of pharmaceutical education
To develop predictive computational models forecasting the academic performance of students in the didactic-rich portion of a doctor of pharmacy (PharmD) curriculum as admission-assisting tools. All PharmD candidates over three admission cycles wer...

Recent developments in machine learning for medical imaging applications.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society