Model performance of the XGBoost model in the test set. (a) Receiver operating characteristics curve. AUROC, area under the receiver operating characteristics curve. (b) Confusion matrix. PPR, positive predictive rate;…
Tag: Health informatics
A robust tool for complex time-to-event data analysis in the context of myeloproliferative neoplasms
MPNs are a group of chronic diseases of the hematopoietic stem cell resulting in overproduction of myeloid progenitor cells, including white blood cells, red blood cells or platelets in the…
Cardiology collaboration advances machine learning predictions for AFib after stroke
Visualization of an individual data sample as a P-QRS-T wave progression viewed from 12 leads. Credit: Heart Rhythm (2024). DOI: 10.1016/j.hrthm.2024.07.061 Researchers at Penn State are using machine learning and…
Radiologists could soon be using AI to detect brain tumors
Credit: Anna Shvets from Pexels A paper titled “Deep Learning and Transfer Learning for Brain Tumor Detection and Classification” published in Biology Methods and Protocols shows that scientists can train…
Risk for mortality up with low income in type 2 diabetes
Adults with type 2 diabetes (T2D) have an increased risk for mortality in association with low income, with the most prominent increase seen for adults aged 20 to 39 years,…
Multi-quantifying maxillofacial traits via a demographic parity-based AI model
The schematic of the challenges in highly variable maxillofacial traits versus generalized intelligent multi-quantifications. Credit: BME Frontiers (2024). DOI: 10.34133/bmef.0054 A study published in BME Frontiers has unveiled a novel…
Novel visualization method helps make sense of large neuronal activity datasets
Rastermap applied to neural activity from a virtual reality task. Credit: Stringer et al. Nature Neuroscience, 2024. Recent technological advances opened exciting possibilities for neuroscience, enabling the collection of increasingly…
AI model predicts progression of breast cancer better than standard hospital tests, study claims
Multi-modal AI test for invasive breast cancer. Credit: arXiv (2024). DOI: 10.48550/arxiv.2410.21256 A team of AI and medical researchers at startup Ataraxis AI, who are also affiliated with a host…
Integrating machine learning with statistical methods enhances disease risk prediction models
Scientists from Peking University conducted a systematic review of studies on integrating machine learning into statistical methods in disease prediction models. Credit: Feng Sun, Peking University Researchers from Peking University…
Machine learning model can diagnose Meniere disease
A machine learning model based on pure-tone audiometry features can diagnose Meniere disease (MD) and predict endolymphatic hydrops (EH), according to a study published online Aug. 28 in Otolaryngology-Head and…
