ScholarIQanswers from OpenAlex
Machine Learning in Healthcare
TopicLeading institutions, researchers & key papers
Machine Learning in Healthcare is a topic indexed in ScholarIQ from OpenAlex.
What is known about Machine Learning in Healthcare?
ScholarIQrecord summary
This cluster of papers focuses on the application of deep learning techniques in healthcare, particularly in the analysis of electronic health records (EHR). The papers cover a wide range of topics including predictive modeling, patient similarity, disease risk prediction, medical concept embedding, and temporal data analysis. The goal is to leverage deep learning to improve healthcare decision-making and enable precision medicine.
How many works does Machine Learning in Healthcare have?
ScholarIQindexed works
Machine Learning in Healthcare has 275 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
What is the OpenAlex record for Machine Learning in Healthcare?
ScholarIQopenalex
The OpenAlex for Machine Learning in Healthcare is on the source record.
What are the most-cited papers on Machine Learning in Healthcare?
ScholarIQmost cited works
Deep Learning for Health Informatics
Daniele Ravì, Charence Wong, Fani Deligianni, Melissa Berthelot, Javier Andreu-Pérez, Benny Lo, Guang‐Zhong Yang
Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records
Riccardo Miotto, Li Li, Brian Kidd, Joel T. Dudley
Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data
Milena Gianfrancesco, Suzanne Tamang, Jinoos Yazdany, Gabriela Schmajuk
Artificial Intelligence in Precision Cardiovascular Medicine
Chayakrit Krittanawong, HongJu Zhang, Zhen Wang, Mehmet Aydar, Takeshi Kitai
Evaluation and accurate diagnoses of pediatric diseases using artificial intelligence
Huiying Liang, Brian Tsui, Hao Ni, Carolina C. S. Valentim, Sally L. Baxter, Guangjian Liu, Wenjia Cai, Daniel Kermany, Xin Sun, Jiancong Chen, Liya He, Jie Zhu, Tian Pin, Hua Shao, Lianghong Zheng, Rui Hou, Sierra Hewett, Gen Li, Ping Liang, Xuan Zang, Zhiqi Zhang, Liyan Pan, Huimin Cai, Rujuan Ling, Shuhua Li, Yongwang Cui, Shusheng Tang, Hong Ye, Xiaoyan Huang, Waner He, Wenqing Liang, Qing Zhang, Jianmin Jiang, Wei Yu, Jianqun Gao, Wanxing Ou, Yingmin Deng, Qiaozhen Hou, Bei Wang, Cuichan Yao, Yan Liang, Shu Zhang, Yaou Duan, Runze Zhang, Sarah Gibson, Charlotte L Zhang, Oulan Li, Edward D. Zhang, Gabriel Karin, Nathan Nguyen, Xiaokang Wu, Cindy Wen, Jie Xu, W. Xu, Bochu Wang, Winston Wang, Jing Li, Bianca Ribeiro Pizzato, Caroline Bao, Daoman Xiang, Wan‐Ting He, Suiqin He, Yugui Zhou, Weldon W. Haw, Michael H. Goldbaum, Adriana H. Tremoulet, Chun‐Nan Hsu, Hannah Carter, Long Zhu, Kang Zhang, Huimin Xia
Where is Machine Learning in Healthcare research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
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How much of the research on Machine Learning in Healthcare is open access?
ScholarIQopen access share
73%OPEN ACCESS