Introduction Duplicate medical records occur when a single patient is assigned multiple medical record numbers within an ...
The Law of Mass action predicts that all adverse drug reactions are related to the concentration of the drug at the site of ...
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 ...
New research shows supervised machine learning models combining Helicobacter pylori genomic data with patient demographics can accurately predict gastric cancer risk.
Objectives Female sex and anticitrullinated protein antibodies (ACPA) are associated with higher disease activity in ...
Patients’ financial resources affect their enrollment in oncology clinical trials to a greater degree than traditional ...
Absence of grab bars, tripping hazards and broken flooring in the home environment can significantly amplify the relationship ...
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 ...
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 ...