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Predicting breast cancer metastasis by using serum biomarkers and clinicopathological data with machine learning technologies

**Background**Approximately 10%–15% of patients with breast cancer die of cancer metastasis or recurrence, and early diagnosis of it can improve prognosis. Breast cancer outcomes may be prognosticated on the basis of surface markers of tumor cells …

Rapid Detection of Heterogeneous Vancomycin-Intermediate Staphylococcus aureus Based on Matrix-Assisted Laser Desorption Ionization Time-of-Flight: Using a Machine Learning Approach and Unbiased Validation

Heterogeneous vancomycin-intermediate Staphylococcus aureus (hVISA) is an emerging superbug with implicit drug resistance to vancomycin. Detecting hVISA can guide the correct administration of antibiotics. However, hVISA cannot be detected in most …

Predicting post-stroke activities of daily living through a machine learning- based approach on initiating rehabilitation

**Objectives:** Prediction of activities of daily living (ADL) is crucial for optimized care of post-stroke patients. However, no suitably-validated and practical models are currently available in clinical practice. **Methods:** Participants of a …

Antihyperglycemic Medications: A Claims-Based Estimate of First-Line Therapy Use Before Initialization of Second-Line Medications

**OBJECTIVE** The American Diabetes Association recommends metformin as first-line therapy for type 2 diabetes. However, nonadherence to antihyperglycemic medication is common, and a clinician could confuse nonadherence with pharmacologic failure, …

Difference Between Estimated Purchase Price and Insurance Payments for Knee and Hip Implants in Privately Insured Patients Younger Than 65 Years

The total payments insurance companies pay for knee and hip implants were twice as high as the average selling prices at which hospitals purchased the implants from manufacturers, resulting in hundreds of millions of dollars of additional insurance …

Claims-Based Diagnostic Patterns of Patients Evaluated for Lyme Disease and Given Extended Antibiotic Therapy

**Background:** A Lyme disease (LD) diagnosis can be far from straightforward, particularly if erythema migrans does not develop or is not noticed. Extended courses of antibiotics for LD are not recommended, but their use is increasing. We sought to …

Incidence and Patterns of Extended-Course Antibiotic Therapy in Patients Evaluated for Lyme Disease

**Background:** Most patients with Lyme disease (LD) can be treated effectively with 2-4 weeks of antibiotics. The Infectious Disease Society of America guidelines do not currently recommend extended treatment even in patients with persistent …

Development and Evaluation of a Web-Based, Hospital-Wide Healthcare-Associated Bloodstream Infection Surveillance and Classification System

**Background:** Surveillance of health care-associated infections is an essential component of infection prevention programs, but conventional systems are labor intensive and performance dependent. **Objective:** To develop an automatic surveillance …

Using Nation-Wide Health Insurance Claims Data to Augment Lyme Disease Surveillance

**Objective:** Lyme disease (LD) is the most commonly reported tick-borne illness in North America. To improve LD surveillance, we explored claims data as an adjunct data source for monitoring trends in Lyme disease incidence. **Methods:** We …

Multiple-Time-Series Clinical Data Processing for Classification With Merging Algorithm and Statistical Measures

A description of patient conditions should consist of the changes in and combination of clinical measures. Traditional data-processing method and classification algorithms might cause clinical information to disappear and reduce prediction …