Journal of Medical Internet Research

Explainable Machine Learning Model for Predicting Persistent Sepsis-Associated Acute Kidney ...

Background: Persistent sepsis-associated acute kidney injury (SA-AKI) shows poor clinical outcomes and remains a therapeutic challenge for clinicians. Early identification and prediction of persistent ...
IEEE

SSHNet: Unsupervised Cross-modal Homography Estimation via Problem Reformulation and Split ...

Abstract: We propose a novel unsupervised cross-modal homography estimation learning framework, named Split Supervised Homography estimation Network (SSHNet). SSHNet reformulates the unsupervised ...
IEEE

Comparative Study of Pre-Trained Deep Learning Models for Brain Tumor MRI Image ...

Abstract: Manual review of brain MRI alone struggles to deliver timely, reliable tumor diagnosis. We study transfer-learning baselines and a simple ensemble for four-class MRI classification (glioma, ...
GitHub

Master’s Thesis in Data Science

Full thesis PDF Statistical validation of the DALY NCD/CD ratio K-Means and DTW clustering models Socio-demographic analysis and COVID-19 first impact results data/IHME-GBD_2021_DATA-4e9c07f2-1.csv ...
The Lancet

Development and validation of an explainable machine learning model for predicting ...

bSchool of Nursing, Hunan University of Medicine, Huaihua, Hunan Province, China cSchool of Nursing, Zunyi Medical University, Zunyi, Guizhou Province, China dThoracic Surgery Department, Affiliated ...
GitHub

Multi-Task Graph Neural Networks for Comprehensive Surfactant Property Prediction

SurfMT-GNN/ ├── README.md # This file ├── LICENSE # MIT License ├── requirements.txt # Python dependencies ├── environment.yml # Conda environment ├── CITATION.cff # Citation information │ ├── configs ...