AIMC Topic: Machine Learning

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Analysis of English Cultural Teaching Model Based on Machine Learning.

Computational intelligence and neuroscience
According to the world population, nearly five billion people use mobile phones in their daily lives, and this has increased by 20% in the last twelve months compared to the previous report. An average survey conducted by researchers to find the amou...

Deep Learning Applications in Surgery: Current Uses and Future Directions.

The American surgeon
Deep learning (DL) is a subset of machine learning that is rapidly gaining traction in surgical fields. Its tremendous capacity for powerful data-driven problem-solving has generated computational breakthroughs in many realms, with the fields of medi...

Artificial Intelligence and Machine Learning in Prediction of Surgical Complications: Current State, Applications, and Implications.

The American surgeon
Surgical complications pose significant challenges for surgeons, patients, and health care systems as they may result in patient distress, suboptimal outcomes, and higher health care costs. Artificial intelligence (AI)-driven models have revolutioniz...

Best Practices on Big Data Analytics to Address Sex-Specific Biases in Our Understanding of the Etiology, Diagnosis, and Prognosis of Diseases.

Annual review of biomedical data science
A bias in health research to favor understanding diseases as they present in men can have a grave impact on the health of women. This paper reports on a conceptual review of the literature on machine learning or natural language processing (NLP) tech...

Emerging frontiers in virtual drug discovery: From quantum mechanical methods to deep learning approaches.

Current opinion in chemical biology
Virtual screening-based approaches to discover initial hit and lead compounds have the potential to reduce both the cost and time of early drug discovery stages, as well as to find inhibitors for even challenging target sites such as protein-protein ...

Exemplar deep and hand-modeled features based automated and accurate cerebral hemorrhage classification method.

Medical engineering & physics
BACKGROUND: Cerebral hemorrhage (CH) is a commonly seen disease, and an accurate diagnosis of the type of CH is a very crucial step in treatment. Therefore, CH requires a prompt and accurate diagnosis. To simplify this process, an accurate CH classif...

Carrying Position-Independent Ensemble Machine Learning Step-Counting Algorithm for Smartphones.

Sensors (Basel, Switzerland)
Current step-count estimation techniques use either an accelerometer or gyroscope sensors to calculate the number of steps. However, because of smartphones unfixed placement and direction, their accuracy is insufficient. It is necessary to consider t...

An efficient ANFIS-EEBAT approach to estimate effort of Scrum projects.

Scientific reports
Software effort estimation is a significant part of software development and project management. The accuracy of effort estimation and scheduling results determines whether a project succeeds or fails. Many studies have focused on improving the accur...

Cross-tissue immune cell analysis reveals tissue-specific features in humans.

Science (New York, N.Y.)
Despite their crucial role in health and disease, our knowledge of immune cells within human tissues remains limited. We surveyed the immune compartment of 16 tissues from 12 adult donors by single-cell RNA sequencing and VDJ sequencing generating a ...

Task model-specific operator skill assessment in routine fetal ultrasound scanning.

International journal of computer assisted radiology and surgery
PURPOSE: For highly operator-dependent ultrasound scanning, skill assessment approaches evaluate operator competence given available data, such as acquired images and tracked probe movement. Operator skill level can be quantified by the completeness,...