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Trends in biomedical informatics: automated topic analysis of JAMIA articles

Trends in biomedical informatics: automated topic analysis of JAMIA articles

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Machine Learning Methods to Predict Diabetes Complications.Tensor Factorization for Precision Medicine in Heart Failure with Preserved Ejection Fraction.General guidelines for biomedical software development.Developing Embedded Taxonomy and Mining Patients' Interests From Web-Based Physician Reviews: Mixed-Methods Approach

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Trends in biomedical informatics: automated topic analysis of JAMIA articles

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Journal of the American Medical Informatics Association

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Trends in biomedical informatics: automated topic analysis of JAMIA articles

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Chao Jiang

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Dong Han

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Hyeon-Eui Kim

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Jimeng Sun

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Shuang Wang

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Xiaoqian Jiang

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The National Center for Biomedical Ontology

Why the impact factor of journals should not be used for evaluating research

Blue Button use by patients to access and share health record information using the Department of Veterans Affairs' online patient portal

The effectiveness of interventions using electronic reminders to improve adherence to chronic medication: a systematic review of the literature.

Natural language processing: an introduction

Seeking health information online: does Wikipedia matter?

Learning the parts of objects by non-negative matrix factorization

PaTH: towards a learning health system in the Mid-Atlantic region

Toward high-throughput phenotyping: unbiased automated feature extraction and selection from knowledge sources

A system to build distributed multivariate models and manage disparate data sharing policies: implementation in the scalable national network for effectiveness research

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1153-63

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10.1093/JAMIA/OCV157

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6

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22

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Lucila Ohno-Machado

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2015-11-01T00:00:00Z

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