'Clinical text' presentation slideshows

The NLM Indexing Initiative: Current Status and Role in Improving Access to Biomedical Information

1.42k views • 111 slides

High-Throughput Phenotyping and Cohort Identification from Electronic Health Records for Clinical and Translational Res

748 views • 59 slides

Strategic Health IT Advanced Research Projects (SHARP) Area 4: Secondary Use of EHR Data Project 3: High-Throughput P

Strategic Health IT Advanced Research Projects (SHARP) Area 4: Secondary Use of EHR Data Project 3: High-Throughput Phenotyping. June 30, 2011 Jyoti Pathak, PhD Assistant Professor of Biomedical Informatics Department of Health Sciences Research.

562 views • 40 slides

Health Care Data Analytics

Health Care Data Analytics. Machine Learning and Natural Language Processing. Lecture c.

383 views • 37 slides

ODIE Toolkit

ODIE Toolkit. NCBO Council Talk December 18, 2007 Rebecca Crowley crowleyrs@upmc.edu. Outline. Overview of the Project Aims, People, Organization, Domain, Philosophy Specific Aims from a use case approach Information Extraction Ontology Enrichment

429 views • 35 slides

ODIE Toolkit

ODIE Toolkit. NCBO Council Talk December 18, 2007 Rebecca Crowley crowleyrs@upmc.edu. Outline. Overview of the Project Aims, People, Organization, Domain, Philosophy Specific Aims from a use case approach Information Extraction Ontology Enrichment

357 views • 35 slides

Information Extraction Group Health

415 views • 29 slides

NLP for Healthcare: Feature engineering and model diagnostics

NLP for Healthcare: Feature engineering and model diagnostics. MANAS RANJAN KAR AVP, NLP & DATA SCIENCE EPISOURCE. $ whoami. Head data science and machine learning @ Episource Finance, healthcare, retail, e-commerce Contributor: gensim , ConceptNet GH @ manasRK. AGENDA.

270 views • 20 slides

NLP Feature engineering and model diagnostics

NLP Feature engineering and model diagnostics. MANAS RANJAN KAR AVP, NLP & DATA SCIENCE EPISOURCE. $ whoami. Head data science and machine learning @ Episource Finance, healthcare, retail, e-commerce Contributor: gensim , ConceptNet GH @ manasRK. AGENDA. Broad use case

186 views • 18 slides

Detection of Spelling Errors in Swedish Clinical Text

Detection of Spelling Errors in Swedish Clinical Text. Nizamuddin Uddin and Hercules Dalianis Department of Computer and Systems Sciences, (DSV). Introduction. Hospitals produce text based records at different stages of patient health care process.

164 views • 16 slides