Modern views of machine learning for precision psychiatry
In light of the National Institute of Mental Health (NIMH)'s Research Domain Criteria (RDoC),
the advent of functional neuroimaging, novel technologies and methods provide new …
the advent of functional neuroimaging, novel technologies and methods provide new …
A review of Generative Adversarial Networks for Electronic Health Records: applications, evaluation measures and data sources
Electronic Health Records (EHRs) are a valuable asset to facilitate clinical research and
point of care applications; however, many challenges such as data privacy concerns impede …
point of care applications; however, many challenges such as data privacy concerns impede …
A survey of generative adversarial networks for synthesizing structured electronic health records
Electronic Health Records (EHRs) are a valuable asset to facilitate clinical research and
point of care applications; however, many challenges such as data privacy concerns impede …
point of care applications; however, many challenges such as data privacy concerns impede …
ECG-Image-Kit: a synthetic image generation toolbox to facilitate deep learning-based electrocardiogram digitization
KK Shivashankara, AM Shervedani… - Physiological …, 2024 - iopscience.iop.org
Objective. Cardiovascular diseases are a major cause of mortality globally, and
electrocardiograms (ECGs) are crucial for diagnosing them. Traditionally, ECGs are stored …
electrocardiograms (ECGs) are crucial for diagnosing them. Traditionally, ECGs are stored …
[HTML][HTML] Federated learning for generating synthetic data: a scoping review
Objectives The objective was to review current research and practices for using FL to
generate synthetic data and determine the extent to which research has been undertaken …
generate synthetic data and determine the extent to which research has been undertaken …
Multivariate generative adversarial networks and their loss functions for synthesis of multichannel ecgs
Access to medical data is highly regulated due to its sensitive nature, which can constrain
communities' ability to utilize these data for research or clinical purposes. Common de …
communities' ability to utilize these data for research or clinical purposes. Common de …
Generation of a Realistic Synthetic Laryngeal Cancer Cohort for AI Applications
M Katalinic, M Schenk, S Franke, A Katalinic… - Cancers, 2024 - mdpi.com
Simple Summary The use of synthetic patient data can help address patient privacy
concerns and the general availability of clinical data. It can overcome the challenges …
concerns and the general availability of clinical data. It can overcome the challenges …
[HTML][HTML] Evaluation of synthetic electronic health records: A systematic review and experimental assessment
Recent studies have shown how synthetic data generation methods can be applied to
electronic health records (EHRs) to obtain synthetic versions that do not violate privacy …
electronic health records (EHRs) to obtain synthetic versions that do not violate privacy …
A Synthetic Electrocardiogram (ECG) Image Generation Toolbox to Facilitate Deep Learning-Based Scanned ECG Digitization
KK Shivashankara, R Sameni - arXiv preprint arXiv:2307.01946, 2023 - arxiv.org
Access to medical data is often limited as it contains protected health information (PHI).
There are privacy concerns regarding using records containing personally identifiable …
There are privacy concerns regarding using records containing personally identifiable …
Optimal adjustment sets for causal query estimation in partially observed biomolecular networks
S Mohammad-Taheri, V Tewari, R Kapre… - …, 2023 - academic.oup.com
Causal query estimation in biomolecular networks commonly selects a 'valid adjustment set',
ie a subset of network variables that eliminates the bias of the estimator. A same query may …
ie a subset of network variables that eliminates the bias of the estimator. A same query may …