Alleviation and monitoring system for the Early Detection Research Network (and related projects) JSON0010UpdatedMar 17, 2024 PHP1Apache-2.01110UpdatedMar 15, 2024 P5Public EDRN Production Program for the Public/Private Portal (P5) Python10140UpdatedMar 14, 2024 ...
Early Detection of Heart Disease: Utilizes machine learning to analyze user data and predict potential heart disease. 🩺 Health Monitoring System: Automatically collects health data from smart wearables, providing continuous monitoring of the user's health status. 📊 Personalized Health Care Services:...
Machine learning for patient risk stratification: standing on, or looking over, the shoulders of clinicians? Article Open access 30 March 2021 Automatic multilabel detection of ICD10 codes in Dutch cardiology discharge letters using neural networks Article Open access 26 February 2021 Introduction ...
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Several major components of our work are available in open-source repositories: PyTorch (v.1.7.1): https://pytorch.org; Dlib Python Library (v.19.22.1): https://github.com/davisking/dlib (frameworks for facial region detection and facial key point localization); EfficientNet-PyTorch: https:...
Early detection and response to patient deterioration are critical to avoid adverse events, preventable morbidity, cardiac arrest, unexpected ICU admission, and mortality [1]. Patients often display indicators of clinical deterioration up to 24 h before a significant clinical event arises needing extensiv...
Genes expressed in less than 20 cells were removed, but we did not set this number too high to avoid restricting rare cell type detection. To detect potential doublets, the Scrublet (v.0.2.1)69 pipeline was performed on each sample by setting parameters ‘n_prin_comps=30’, ‘expected_...
www.nature.com/scientificreports OPEN Complex network analysis techniques for the early detection of the outbreak of pandemics transmitted through air traffic Ángel Fragua , Antonio Jiménez‑Martín * & Alfonso Mateos Air transport has been identified as one of the...
Toward Robust Early Detection of Alzheimer's Disease via an Integrated Multimodal Learning Approach - JustlfC03/MSTNet
Python The objective of this projects is to build a CNN model to accurately detect the presence of Parkinson’s disease in an individual. cnn-keraskeras-callbackparkinsons-diseasecnn-classificationearly-stopping UpdatedJan 23, 2022 Jupyter Notebook ...