A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Heteroscedasticity describes a situation where risk (variance) changes with the level of a variable. In financial models, this means volatility is not constant. Most pricing and forecasting models ...

Part two of this three-part series reveals control technology concepts to reduce process variability and increase ...

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Diagnostic tests for ovarian cancer in premenopausal women with non-specific symptoms (ROCkeTS): prospective, multicentre, cohort study 1. This cohort study found that the IOTA ADNEX ultrasound model ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

YouTube offers free and flexible access to artificial intelligence educationStructured video content helps learners understand both basic and adv ...

Background Intraocular pressure (IOP) exhibits significant fluctuations in response to changes in body posture. Postural modification may serve as a potential adjunctive strategy for IOP management in ...

Harvard University is providing seven free online courses in data science, each running for eight to nine weeks and requiring ...

The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts ...