Scalable and accurate deep learning with electronic health records

Alvin Rajkomar, Eyal Oren, Kai Chen

Machine Learning for Health Informatics

Predictive modeling of depression and anxiety using electronic health records and a novel machine learning approach with artificial intelligence

Matthew D. Nemesure, Michael V. Heinz, Raphael Huang et al.

A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications

Onur Avcı, Osama Abdeljaber, Serkan Kıranyaz

Ethical Considerations in the Use of Artificial Intelligence and Machine Learning in Health Care: A Comprehensive Review

Mitul Harishbhai Tilala, Pradeep Kumar Chenchala, Ashok Choppadandi et al.

Classification Based on Decision Tree Algorithm for Machine Learning

Bahzad Charbuty, Adnan Mohsin Abdulazeez

Prediction of Incident Hypertension Within the Next Year: Prospective Study Using Statewide Electronic Health Records and Machine Learning

Chengyin Ye, Tianyun Fu, Shiying Hao

Predicting Diabetes Mellitus With Machine Learning Techniques

Quan Zou, Kaiyang Qu, Yamei Luo

Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis

Benjamin Shickel, Patrick Tighe, Azra Bihorac

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

Laith Alzubaidi, Jinglan Zhang, Amjad J. Humaidi

Detecting health misinformation in online health communities: Incorporating behavioral features into machine learning based approaches

Yuehua Zhao, Jingwei Da, Jiaqi Yan

Battery prognostics and health management from a machine learning perspective

Jingyuan Zhao, Xuning Feng, Quanquan Pang