AIMC Topic: Lyme Disease

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Serologic biomarker discovery for differentiating Lyme disease from diseases with similar clinical symptoms using broad profiling of antibody binding.

Frontiers in immunology May 16, 2025
INTRODUCTION: Lyme disease (LD) is a tick-borne disease that is a substantial public health burden with estimated about 0.5 million new cases per year in the US and increasing incidence. Differentiating Lyme disease, especially in its early stages, f...
Female Adult Male Machine Learning Biomarkers Serologic Tests Antibodies, Bacterial Borrelia burgdorferi Middle Aged Diagnosis, Differential Lyme Disease Humans
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Of Lyme disease and machine learning in a One Health world.

American journal of veterinary research Feb 11, 2025
OBJECTIVE: Lyme disease is a vector-borne emerging zoonosis in Ontario driven by human population growth and climate change. Lyme disease is also a prime example of the One Health concept. While little can be done to immediately reverse climate chang...
Animals Zoonoses Ontario One Health Lyme Disease Humans Machine Learning Forecasting
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Expert opinion elicitation for assisting deep learning based Lyme disease classifier with patient data.

International journal of medical informatics Oct 31, 2024
BACKGROUND: Diagnosing erythema migrans (EM) skin lesion, the most common early symptom of Lyme disease, using deep learning techniques can be effective to prevent long-term complications. Existing works on deep learning based EM recognition only uti...
Algorithms Deep Learning Surveys and Questionnaires Humans Lyme Disease Erythema Chronicum Migrans
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Long COVID diagnostic with differentiation from chronic lyme disease using machine learning and cytokine hubs.

Scientific reports Aug 26, 2024
The absence of a long COVID (LC) or post-acute sequelae of COVID-19 (PASC) diagnostic has profound implications for research and potential therapeutics given the lack of specificity with symptom-based identification of LC and the overlap of symptoms ...
Middle Aged Diagnosis, Differential Chronic Disease Sensitivity and Specificity Male Lyme Disease Post-Lyme Disease Syndrome Algorithms Cytokines Female SARS-CoV-2 Adult Humans Machine Learning COVID-19
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Identifying Potential Lyme Disease Cases Using Self-Reported Worldwide Tweets: Deep Learning Modeling Approach Enhanced With Sentimental Words Through Emojis.

Journal of medical Internet research Oct 16, 2023
BACKGROUND: Lyme disease is among the most reported tick-borne diseases worldwide, making it a major ongoing public health concern. An effective Lyme disease case reporting system depends on timely diagnosis and reporting by health care professionals...
Humans Deep Learning United States Lyme Disease Attitude Social Media Self Report
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An Efficient Stacked Deep Transfer Learning Model for Automated Diagnosis of Lyme Disease.

Computational intelligence and neuroscience Feb 28, 2022
Lyme disease is one of the most common vector-borne infections. It typically causes cardiac illnesses, neurologic illnesses, musculoskeletal disorders, and dermatologic conditions. However, most of the time, it is poorly diagnosed due to many similar...
Lyme Disease Neural Networks, Computer Machine Learning Tomography, X-Ray Computed Humans
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Point-of-Care Serodiagnostic Test for Early-Stage Lyme Disease Using a Multiplexed Paper-Based Immunoassay and Machine Learning.

ACS nano Dec 18, 2019
Caused by the tick-borne spirochete , Lyme disease (LD) is the most common vector-borne infectious disease in North America and Europe. Though timely diagnosis and treatment are effective in preventing disease progression, current tests are insensiti...
Humans Machine Learning Surface Properties Paper Lyme Disease Particle Size Telemedicine Point-of-Care Testing Immunoassay
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Executable medical guidelines with Arden Syntax-Applications in dermatology and obstetrics.

Artificial intelligence in medicine Aug 12, 2016
INTRODUCTION: Clinical decision support systems (CDSSs) are being developed to assist physicians in processing extensive data and new knowledge based on recent scientific advances. Structured medical knowledge in the form of clinical alerts or remind...
Reminder Systems Medical Informatics Hospital Information Systems Obstetrics Lyme Disease Dermatology Decision Support Systems, Clinical Humans Programming Languages Expert Systems Fuzzy Logic Artificial Intelligence Practice Guidelines as Topic
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Building a Binary Classification Machine-Learning Model: A Guide to Predicting Participation in a Lyme Disease Program at a Medical Institute.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2024
The field of data analysis, preparation, and machine learning is rapidly expanding, offering numerous libraries and resources for exploration. Researchers gain knowledge through various channels, but few resources provide a comprehensive framework fo...
Lyme Disease Patient Participation Humans Machine Learning
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Applying BERT and ChatGPT for Sentiment Analysis of Lyme Disease in Scientific Literature.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2024
This chapter presents a practical guide for conducting sentiment analysis using Natural Language Processing (NLP) techniques in the domain of tick-borne disease text. The aim is to demonstrate the process of how the presence of bias in the discourse ...
Publications Sentiment Analysis Humans Machine Learning Language Lyme Disease
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