官方服务：
资源简介：
ML-Based Anemia Prediction
基于机器学习的贫血预测
应用场景：
创建时间：
2024-07-05
相关数据集
Code for the HIVE Appendicitis prediction modelRepository with LLM_data_extractor_optuna for automated feature extraction
This repository contains the code and trained model for developing the HIVE (History, Intake, Vitals, Examination) machine learning model for predicting appendicitis in patients presenting with acute
DataCite Commons2025-07-11 更新240
Supplementary Material for: The role of hepcidin and an oral iron absorption test in identifying the root cause of iron-restricted anemia
Introduction: Traditional iron parameters often fail to distinguish the cause of iron-restricted anemia in patients without an obvious underlying cause. We evaluated whether an oral iron absorption te
DataCite Commons2023-12-05 更新90
Supplementary Material for: A Nomogram for Predicting Extubation Failure in Preterm Infants with Gestational Age Less than 29 Weeks
Introduction: How to avoid reintubations in prematurity remains a hard nut. This study aimed to develop and validate a nomogram for predicting extubation failure in preterm infants who r
DataCite Commons2025-05-01 更新70
Development and validation of a clinical prediction rule for acute appendicitis in children in primary care
Recognising acute appendicitis in children presenting with acute abdominal pain in primary care is challenging. General practitioners (GPs) may benefit from a clinical prediction rule. To develop and
DataCite Commons2024-03-06 更新160
Predictive models of sepsis-associated acute kidney injury based on machine learning: a scoping review
With the development of artificial intelligence, the application of machine learning to develop predictive models for sepsis-associated acute kidney injury has made potential breakthroughs in early id
DataCite Commons2026-01-21 更新80
