• Corpus ID: 221819090

Feature Selection on Lyme Disease Patient Survey Data

  title={Feature Selection on Lyme Disease Patient Survey Data},
  author={Joshua Vendrow and Jamie Haddock and Deanna Needell and Lorraine Johnson},
Lyme disease is a rapidly growing illness that remains poorly understood within the medical community. Critical questions about when and why patients respond to treatment or stay ill, what kinds of treatments are effective, and even how to properly diagnose the disease remain largely unanswered. We investigate these questions by applying machine learning techniques to a large scale Lyme disease patient registry, MyLymeData, developed by the nonprofit this http URL. We apply various machine… 

Antibiotic Treatment Response in Chronic Lyme Disease: Why Do Some Patients Improve While Others Do Not?

High treatment response was most closely associated with the use of antibiotics or a combination of antibiotics and alternative treatments, longer duration of treatment, and oversight by a clinician whose practice focused on the treatment of tick-borne diseases.



Removing the Mask of Average Treatment Effects in Chronic Lyme Disease Research Using Big Data and Subgroup Analysis

Using patient-reported outcome data from the MyLymeData online patient registry, it is shown that sub-group analysis techniques can unmask valuable information that is hidden if averages alone are used and reveal treatment effectiveness for up to a third of patients with Lyme disease.

Post-treatment Lyme disease syndrome symptomatology and the impact on life functioning: is there something here?

Unlike clinical signs of Lyme disease, new-onset symptoms are reported by a subset of participants without evidence of depressive symptomatology, and patients who developed PTLDS had significantly lower life functioning compared to those without PTL DS.

Diagnostic challenges of early Lyme disease: Lessons from a community case series

Failure to recognize erythema migrans or alternatively, viral-like presentations without a rash, can lead to missed or delayed diagnosis of Lyme disease, ineffective antibiotic treatment, and the potential for late manifestations.

Study and treatment of post Lyme disease (STOP-LD)

Ceftriaxone therapy in patients with PLS with severe fatigue was associated with an improvement in fatigue but not with cognitive function or an experimental laboratory measure of infection in this study.

Two controlled trials of antibiotic treatment in patients with persistent symptoms and a history of Lyme disease.

There is considerable impairment of health-related quality of life among patients with persistent symptoms despite previous antibiotic treatment for acute Lyme disease, and treatment with intravenous and oral antibiotics for 90 days did not improve symptoms more than placebo.

A randomized, placebo-controlled trial of repeated IV antibiotic therapy for Lyme encephalopathy

I ceftriaxone therapy results in short-term cognitive improvement for patients with posttreatment Lyme encephalopathy, but relapse in cognition occurs after the antibiotic is discontinued, and treatment strategies that result in sustained cognitive improvement are needed.

An Introduction to Variable and Feature Selection

The contributions of this special issue cover a wide range of aspects of variable selection: providing a better definition of the objective function, feature construction, feature ranking, multivariate feature selection, efficient search methods, and feature validity assessment methods.

Adam: A Method for Stochastic Optimization

This work introduces Adam, an algorithm for first-order gradient-based optimization of stochastic objective functions, based on adaptive estimates of lower-order moments, and provides a regret bound on the convergence rate that is comparable to the best known results under the online convex optimization framework.

Antibiotic treatment response variation in persistent Lyme disease: Why do some patients

  • 2020