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Paper Details

Deep learning for healthcare: review, opportunities and challenges.
Brief Bioinform
651
2018
healthcare, human
Computational Biology, Data Mining, Deep Learning, Delivery of Health Care, Diagnostic Imaging, Electronic Health Records, Genomics, Humans, Telemedicine
Author NameAffiliation
Riccardo MiottoInstitute for Next Generation Healthcare, Department of Genetics and Genomic Sciences at the Icahn School of Medicine at Mount Sinai
Riccardo MiottoInstitute for Next Generation Healthcare, Department of Genetics and Genomic Sciences at the Icahn School of Medicine at Mount Sinai
Fei WangDepartment of Healthcare Policy and Research at Weill Cornell Medicine at Cornell University
Fei WangDepartment of Healthcare Policy and Research at Weill Cornell Medicine at Cornell University
Shuang WangDepartment of Biomedical Informatics at the University of California San Diego
Xiaoqian JiangDepartment of Biomedical Informatics at the University of California San Diego
Joel T Dudleythe Institute for Next Generation Healthcare and associate professor in the Department of Genetics and Genomic Sciences at the Icahn School of Medicine at Mount Sinai
Joel T Dudleythe Institute for Next Generation Healthcare and associate professor in the Department of Genetics and Genomic Sciences at the Icahn School of Medicine at Mount Sinai
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