AIMC Topic: Cost-Benefit Analysis

Clear Filters Showing 101 to 110 of 183 articles

DeepVariant-on-Spark: Small-Scale Genome Analysis Using a Cloud-Based Computing Framework.

Computational and mathematical methods in medicine
Although sequencing a human genome has become affordable, identifying genetic variants from whole-genome sequence data is still a hurdle for researchers without adequate computing equipment or bioinformatics support. GATK is a gold standard method fo...

BMIVPOT, a Fully Automated Version of the Intravenous Pole: Simulation, Design, and Evaluation.

Journal of healthcare engineering
Robotic intravenous poles are automated supportive instrument that needs to be triggered by patients to hold medications and needed supplies. Healthcare engineering of robotic intravenous poles is advancing in order to improve the quality of health s...

Artificial intelligence-based collaborative filtering method with ensemble learning for personalized lung cancer medicine without genetic sequencing.

Pharmacological research
In personalized medicine, many factors influence the choice of compounds. Hence, the selection of suitable medicine for patients with non-small-cell lung cancer (NSCLC) is expensive. To shorten the decision-making process for compounds, we propose a ...

Multimodal Emotion Evaluation: A Physiological Model for Cost-Effective Emotion Classification.

Sensors (Basel, Switzerland)
Emotional responses are associated with distinct body alterations and are crucial to foster adaptive responses, well-being, and survival. Emotion identification may improve peoples' emotion regulation strategies and interaction with multiple life con...

In reply to 'clinical biochemistry test eliminator providing cost-effectiveness with five algorithms': the Casablanca strategy.

Acta clinica Belgica
In this journal, Ataman Gönel recently demonstrated that elimination of requested unnecessary tests by means of algorithms in an artificial intelligence program may contribute to the cost-effectiveness of medicine. However, test ordering is an essent...

Incorporating machine learning and social determinants of health indicators into prospective risk adjustment for health plan payments.

BMC public health
BACKGROUND: Risk adjustment models are employed to prevent adverse selection, anticipate budgetary reserve needs, and offer care management services to high-risk individuals. We aimed to address two unknowns about risk adjustment: whether machine lea...

Effects of cost-benefit analysis under back propagation neural network on financial benefit evaluation of investment projects.

PloS one
To determine the influence of the weight of the economic effectiveness evaluation criteria of the major investments of listed enterprises, and provide new management ideas for the development of the follow-up enterprises, firstly, the financial benef...

The Economic Impact of Artificial Intelligence in Health Care: Systematic Review.

Journal of medical Internet research
BACKGROUND: Positive economic impact is a key decision factor in making the case for or against investing in an artificial intelligence (AI) solution in the health care industry. It is most relevant for the care provider and insurer as well as for th...

Development of a system based on artificial intelligence to identify visual problems in children: study protocol of the TrackAI project.

BMJ open
INTRODUCTION: Around 70% to 80% of the 19 million visually disabled children in the world are due to a preventable or curable disease, if detected early enough. Vision screening in childhood is an evidence-based and cost-effective way to detect visua...