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Related papers: Feature Selection on Lyme Disease Patient Survey D…

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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…

Breast cancer (BC) remains a significant global health challenge, with personalized treatment selection complicated by the disease's molecular and clinical heterogeneity. BC treatment decisions rely on various patient-specific clinical…

Applications · Statistics 2025-07-10 Md Nahid Hasan , Md Monzur Murshed , Md Mahadi Hasan , Faysal A. Chowdhury

Lyme disease which is one of the most common infectious vector-borne diseases manifests itself in most cases with erythema migrans (EM) skin lesions. Recent studies show that convolutional neural networks (CNNs) perform well to identify…

Lung cancer is a condition where there is abnormal growth of malignant cells that spread in an uncontrollable fashion in the lungs. Some common treatment strategies are surgery, chemotherapy, and radiation which aren't the best options due…

Computer Vision and Pattern Recognition · Computer Science 2026-03-18 Ann Rachel , Pranav M Pawar , Mithun Mukharjee , Raja M , Tojo Mathew

As we gain access to a greater depth and range of health-related information about individuals, three questions arise: (1) Can we build better models to predict individual-level risk of ill health? (2) How much data do we need to…

Machine Learning · Statistics 2021-04-27 Mark Green

The aim of the systematic review was to assess recently published studies on diagnostic test accuracy of glioblastoma treatment response monitoring biomarkers in adults, developed through machine learning (ML). Articles were searched for…

Models have been proposed to extract temporal patterns from longitudinal electronic health records (EHR) for clinical predictive models. However, the common relations among patients (e.g., receiving the same medical treatments) were rarely…

Applications · Statistics 2019-09-27 Yue Wang , Tong Wu , Yunlong Wang , Gao Wang

The recent increase in morbidity is primarily due to chronic diseases including Diabetes, Heart disease, Lung cancer, and brain tumours. The results for patients can be improved, and the financial burden on the healthcare system can be…

Machine Learning · Computer Science 2025-02-18 Sri Varsha Mulakala , G. Neeharika , P. Vinay Kumar , A. Bhargava Kiran

Chronic pain significantly diminishes the quality of life for millions worldwide. While psychoeducation and therapy can improve pain outcomes, many individuals experiencing pain lack access to evidence-based treatments or fail to complete…

Machine Learning · Computer Science 2024-06-17 Pratik Gajane , Sean Newman , Mykola Pechenizkiy , John D. Piette

Malignant Pleural Mesothelioma (MPM) or malignant mesothelioma (MM) is an atypical, aggressive tumor that matures into cancer in the pleura, a stratum of tissue bordering the lungs. Diagnosis of MPM is difficult and it accounts for about…

Computers and Society · Computer Science 2019-08-22 Avishek Choudhury

The scientific discourse surrounding Chronic Lyme Disease (CLD) and Post-Treatment Lyme Disease Syndrome (PTLDS) has evolved over the past twenty-five years into a complex and polarised debate, shaped by shifting research priorities,…

Computers and Society · Computer Science 2025-04-15 Teo Susnjak , Cole Palffy , Tatiana Zimina , Nazgul Altynbekova , Kunal Garg , Leona Gilbert

Lyme disease is an infectious disease transmitted to humans by a bite from an infected Ixodes species (blacklegged ticks). It is one of the fastest growing vector-borne illness in North America and is expanding its geographic footprint.…

Computer Vision and Pattern Recognition · Computer Science 2020-09-28 Sina Akbarian , Tania Cawston , Laurent Moreno , Samir Patel , Vanessa Allen , Elham Dolatabadi

The global need for effective disease diagnosis remains substantial, given the complexities of various disease mechanisms and diverse patient symptoms. To tackle these challenges, researchers, physicians, and patients are turning to machine…

Machine Learning · Computer Science 2023-10-27 S M Atikur Rahman , Sifat Ibtisum , Ehsan Bazgir , Tumpa Barai

The growing demand for sustainable development brings a series of information technologies to help agriculture production. Especially, the emergence of machine learning applications, a branch of artificial intelligence, has shown multiple…

Computer Vision and Pattern Recognition · Computer Science 2023-10-20 Jianping Yao , Son N. Tran , Samantha Sawyer , Saurabh Garg

Worldwide, several cases go undiagnosed due to poor healthcare support in remote areas. In this context, a centralized system is needed for effective monitoring and analysis of the medical records. A web-based patient diagnostic system is a…

Computer Vision and Pattern Recognition · Computer Science 2021-07-06 Harish Rajora , Narinder Singh Punn , Sanjay Kumar Sonbhadra , Sonali Agarwal

Around the globe, ticks are the culprit of transmitting a variety of bacterial, viral and parasitic diseases. The incidence of tick-borne diseases has drastically increased within the last decade, with annual cases of Lyme disease soaring…

Image and Video Processing · Electrical Eng. & Systems 2020-11-24 Lauren Michelle Pfeifer , Matias Valdenegro-Toro

Adherence can be defined as "the extent to which patients take their medications as prescribed by their healthcare providers"[Osterberg and Blaschke, 2005]. World Health Organization's reports point out that, in developed countries, only…

Machine Learning · Computer Science 2018-11-30 Thomas Janssoone , Clémence Bic , Dorra Kanoun , Pierre Hornus , Pierre Rinder

Dry eye disease is a common disorder of the ocular surface, leading patients to seek eye care. Clinical signs and symptoms are currently used to diagnose dry eye disease. Metabolomics, a method for analyzing biological systems, has been…

Computer Vision and Pattern Recognition · Computer Science 2024-08-08 Sajad Amouei Sheshkal , Morten Gundersen , Michael Alexander Riegler , Øygunn Aass Utheim , Kjell Gunnar Gundersen , Hugo Lewi Hammer

Globally, there is a substantial unmet need to diagnose various diseases effectively. The complexity of the different disease mechanisms and underlying symptoms of the patient population presents massive challenges to developing the early…

Machine Learning · Computer Science 2022-01-03 Md Manjurul Ahsan , Zahed Siddique

Predicting the response of a specific cancer to a therapy is a major goal in modern oncology that should ultimately lead to a personalised treatment. High-throughput screenings of potentially active compounds against a panel of genomically…

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