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Risk

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Potential Risk of Intelligent Technologies in Clinical Orthopedics.

Advances in experimental medicine and biology
Nowadays, the intelligent technologies are getting more and more attention, and the surgical robot is one of the most typical representatives. Orthopedic robots have revolutionized orthopedic surgery, but there are also risks. The risks can be catego...

A Knowledge-Base for a Personalized Infectious Disease Risk Prediction System.

Studies in health technology and informatics
We present a knowledge-base to represent collated infectious disease risk (IDR) knowledge. The knowledge is about personal and contextual risk of contracting an infectious disease obtained from declarative sources (e.g. Atlas of Human Infectious Dise...

A hybrid CNN feature model for pulmonary nodule malignancy risk differentiation.

Journal of X-ray science and technology
The malignancy risk differentiation of pulmonary nodule is one of the most challenge tasks of computer-aided diagnosis (CADx). Most recently reported CADx methods or schemes based on texture and shape estimation have shown relatively satisfactory on ...

Two split-time artificial insemination programs in suckled beef cows.

Journal of animal science
Our objective was to determine which of 2 split-time AI programs applied to suckled beef cows would result in greater pregnancy risk. Suckled beef cows (n = 1,062) at 12 locations in 4 states (CO, KS, MY, and WA) were enrolled. Cows were treated on d...

[Tetrodotoxin (TTX) Monitoring of Biological Specimens and Toxin Profile in a Food Poisoning Case Caused by the Scavenging Gastropod Nassarius (Alectrion) glans "Kinshibai"].

Shokuhin eiseigaku zasshi. Journal of the Food Hygienic Society of Japan
In November 2015, a patient presented with symptoms of toxicity after eating whole boiled samples of the scavenging gastropod Nassarius (Alectrion) glans "Kinshibai" in Nagasaki. This food poisoning case was the third recorded in Japan. The case was ...

Applying Risk Models on Patients with Unknown Predictor Values: An Incremental Learning Approach.

Studies in health technology and informatics
In clinical practice, many patients may have unknown or missing values for some predictors, causing that the developed risk models cannot be directly applied on these patients. In this paper, we propose an incremental learning approach to apply a dev...

Towards sophisticated learning from EHRs: increasing prediction specificity and accuracy using clinically meaningful risk criteria.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Computer based analysis of Electronic Health Records (EHRs) has the potential to provide major novel insights of benefit both to specific individuals in the context of personalized medicine, as well as on the level of population-wide health care and ...