Evaluation and accurate diagnoses of pediatric diseases using artificial intelligence

Huiying Liang, Brian Tsui, Hao Ni, +68

Nature Medicine

Artificial IntelligenceBiomedical Artificial IntelligenceDisease DiagnosisEngineeringIntelligent Diagnostics +8

Machine learning applications for prediction of relapse in childhood acute lymphoblastic leukemia

Liyan Pan, Guangjian Liu, Fangqin Lin, +4

Scientific Reports

Classification of Bacterial and Viral Childhood Pneumonia Using Deep Learning in Chest Radiography

Xianghong Gu, Liyan Pan, Huiying Liang, +1

Convolutional Neural NetworkEngineeringMachine LearningDiagnosisDiagnostic Imaging +16

Early and Accurate Prediction of Clinical Response to Methotrexate Treatment in Juvenile Idiopathic Arthritis Using Machine Learning

Xiaolan Mo, Xiujuan Chen, Hongwei Li, +14

Frontiers in Pharmacology

Development of Prediction Models Using Machine Learning Algorithms for Girls with Suspected Central Precocious Puberty: Retrospective Study

Liyan Pan, Guangjian Liu, Xiaojian Mao, +4

JMIR Medical Informatics

Developing a Machine Learning System for Identification of Severe Hand, Foot, and Mouth Disease from Electronic Medical Record Data

Guangjian Liu, Yi Xu, Xinming Wang, +10

Scientific Reports

EngineeringMachine LearningBiometricsDiagnosisDisease Detection +22

Explainable Dynamic Multimodal Variational Autoencoder for the Prediction of Patients With Suspected Central Precocious Puberty

Yiming Xu, Xiaohong Liu, Liyan Pan, +4

IEEE Journal of Biomedical and Health Informatics

Artificial IntelligenceEngineeringMachine LearningIntelligent DiagnosticsDevelopmental Cognitive Neuroscience +17

A model for predicting 7‐day pressure injury outcomes in paediatric patients: A machine learning approach

Chun Xiao, Liyan Pan, Yan Lin, +4

Journal of Advanced Nursing

Interrelationship of rotavirus infection and Creatine Kinase-MB isoenzyme levels in children hospitalized with acute gastroenteritis in Guangzhou, China, 2012–2015

Jianbin Zheng, Haiqing Zheng, Ramit Gupta, +5

Scientific Reports

Machine learning identifies girls with central precocious puberty based on multisource data

Liyan Pan, Guangjian Liu, Xiaojian Mao, +1

JAMIA Open