Multi-center colonoscopy quality measurement utilizing natural language processing. - Wikidata - wikimedia - TriplyDB

Multi-center colonoscopy quality measurement utilizing natural language processing.

Multi-center colonoscopy quality measurement utilizing natural language processing.

http://www.wikidata.org/entity/Q38371828

about

Accurate Identification of Fatty Liver Disease in Data Warehouse Utilizing Natural Language Processing.Provider-specific quality measurement for ERCP using natural language processing.What Can We Do to Optimize Colonoscopy and How Effective Can We Be?Challenges in adapting existing clinical natural language processing systems to multiple, diverse health care settings.Feasibility of Large-Scale Identification of Sessile Serrated Polyp Patients Using Electronic Records: A Utah Study.Accurate Identification of Colonoscopy Quality and Polyp Findings Using Natural Language Processing.Natural language processing: use in EBM and a guide for appraisal.What makes a "good" colonoscopy quality indicator?Physician characteristics associated with higher adenoma detection rate.Variation in Pathologist Classification of Colorectal Adenomas and Serrated Polyps.Quality in Colonoscopy: Beyond the Adenoma Detection Rate Fever.Optimizing Colonoscopy Quality: From Bowel Preparation to Surveillance.Efficient Optimization ofF-Measure with Cost-Sensitive SVM

P2860

Q38598384-0567FD06-68B5-4619-83BD-066EC3A11498 Q38801647-A7F7C515-9C35-45AF-A84E-D413C2C2E597 Q38813340-95C7D0A1-222F-4DE6-85BE-398447EB86D8 Q38832328-6F25CD17-838B-4372-8DFB-46E41A5A7494 Q38896841-C55D021D-E407-4BB1-B083-E36C6FB94265 Q40041487-7A25F2ED-3BF7-4ECA-87EA-F4456880F53B Q40708752-5B453F1D-7A56-41A5-ACA7-5BFDDCB88688 Q42370159-54741628-39A9-4A1A-85F2-9AB538CB73CB Q47652767-64DA7136-29B7-41E4-BB78-4DDD7C3D12B0 Q49584045-5BADF46F-F21B-4A55-BEB5-DB1A0A172844 Q51361658-56F70DA8-74F4-44D0-9C67-7587B720A2AF Q53198625-D7E43EF9-7A1A-49DD-922F-ED57FB1A1108 Q59131735-70AA3A35-5C5B-4755-9C3E-8FB04E2EE385

P2860

Multi-center colonoscopy quality measurement utilizing natural language processing.

http://www.wikidata.org/entity/Q38371828

description

2015 nî lūn-bûn

@nan

2015年の論文

@ja

2015年学术文章

@wuu

2015年学术文章

@zh-cn

2015年学术文章

@zh-hans

2015年学术文章

@zh-my

2015年学术文章

@zh-sg

2015年學術文章

@yue

2015年學術文章

@zh

2015年學術文章

@zh-hant

name

Multi-center colonoscopy quality measurement utilizing natural language processing.

@en

type

label

Multi-center colonoscopy quality measurement utilizing natural language processing.

@en

prefLabel

Multi-center colonoscopy quality measurement utilizing natural language processing.

@en

P1433

Q38371828-E77BD972-DDC1-4353-AD00-AC69B159D5FC

P1476

Q38371828-A1A0F18F-30DB-412D-B6E9-BB04BB559E9E

P2093

Q38371828-04DEB867-234A-465B-B6A5-113A0F0AB4C5

Q38371828-20192AAC-03C9-407D-943F-55DEBA77FDBA

Q38371828-2845E784-DB3B-47DA-8621-B283B2487808

Q38371828-4145AD6E-7E23-4A74-86A8-55292AD35E0E

Q38371828-6F54CB47-11B4-4814-B781-D5C2B76637B1

Q38371828-95A964CF-36B5-4CC3-B557-DCF4AE533FA9

Q38371828-981A4B59-66B2-4037-90EA-914AD1B3B890

Q38371828-99239802-40F8-4E3A-B904-537106DABA8D

Q38371828-9A91AE34-4D54-424C-A2D4-2E0A19A0D545

Q38371828-9EBFA3CD-5124-4646-9A10-70D0827A7F8C

P2860

Q38371828-0169167E-7DF8-4A3D-A8AC-67E9F4F6AF8C

Q38371828-05769C0B-AE24-4BE4-8B7B-B66555C86EB5

Q38371828-0737710B-FCE4-47EC-B8D3-6A1FA25481E7

Q38371828-104A6F00-2B76-4C7D-878A-A30264EEF2D5

Q38371828-1388EAB1-0744-41CE-A77B-8FD19D1A43D4

Q38371828-182FEF15-4AD5-435E-8024-0672A4668490

Q38371828-1A343D5E-A692-4C20-8D92-23D45F5884B5

Q38371828-3287A65E-F6DE-49D2-AC6C-305E8D91C672

Q38371828-3330D34D-06EE-46C6-B4C4-6E7698EC97FC

Q38371828-374679F1-74CA-41B7-82E0-014F5827D5EE

P2888

Q38371828-4372353F-AE23-4A56-9460-4DC5D81BE722

P304

Q38371828-583051DE-46E0-4A9E-8921-A9532E20EBD9

P31

Q38371828-884297EE-CF5B-4D81-8A6B-306F58AB5B07

P356

Q38371828-4E0BB86B-B386-4283-AB86-60ED2878A768

P407

Q38371828-A1E67B0D-4ABB-4ACA-A1D2-B0B4EDF036A5

P433

Q38371828-0D86C437-8BAB-490E-8936-FCC90CBDCC77

P478

Q38371828-321CC0BC-E3BA-47FD-833C-5C75443DB7DD

P50

Q38371828-83E2F6F6-1966-45CE-9151-4D402E3DCCCA

Q38371828-88C4A9C9-5FD6-49AB-8BD5-EB8773B01329

Q38371828-95EC4F56-01A5-4B82-A813-9C09F83C2CE5

Q38371828-B99EB42E-7C8D-43A8-AE04-687C08BF0AEA

Q38371828-D352ABDE-5657-4482-BE9F-1F10D0BEE6A3

P577

Q38371828-F7123A0C-5620-4319-BD25-F4B70F4DB5A3

P5875

Q38371828-90E7C35B-DA51-4C47-8F1F-D214FD2A8A38

P6179

Q38371828-B27B5642-0963-42B0-8FD0-7097B93DDC61

P698

Q38371828-0C78FAB4-79B6-40EB-BC78-FD6CAD16D6A2

P921

Q38371828-A01EE566-9298-49AF-BD09-D9BABECE0B76

P356

P1433

The American Journal of Gastroenterology

P1476

Multi-center colonoscopy quality measurement utilizing natural language processing.

@en

P2093

Amandeep Shergill

http://www.w3.org/2001/XMLSchema#string

Anil Nagar

http://www.w3.org/2001/XMLSchema#string

Charles Kahi

http://www.w3.org/2001/XMLSchema#string

Christopher Ashley

http://www.w3.org/2001/XMLSchema#string

Cynthia S Johnson

http://www.w3.org/2001/XMLSchema#string

Dennis Ahnen

http://www.w3.org/2001/XMLSchema#string

Douglas Robertson

http://www.w3.org/2001/XMLSchema#string

Eric A Sherer

http://www.w3.org/2001/XMLSchema#string

Fadi Antaki

http://www.w3.org/2001/XMLSchema#string

Huiping Xu

http://www.w3.org/2001/XMLSchema#string

P2860

Serrated lesions of the colorectum: review and recommendations from an expert panel

Developing a natural language processing application for measuring the quality of colonoscopy procedures

Data resources in the Department of Veterans Affairs.

Utilization of surveillance colonoscopy in community practice.

Natural language processing accurately categorizes findings from colonoscopy and pathology reports

Adenoma detection rate and risk of colorectal cancer and death

Extracting timing and status descriptors for colonoscopy testing from electronic medical records.

Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications.

Applying a natural language processing tool to electronic health records to assess performance on colonoscopy quality measures.

Automated identification of surveillance colonoscopy in inflammatory bowel disease using natural language processing.

P2888

P304

543-552

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1038/AJG.2015.51

http://www.w3.org/2001/XMLSchema#string

P407

P433

4

http://www.w3.org/2001/XMLSchema#string

P478

110

http://www.w3.org/2001/XMLSchema#string

P50

Jason A. Dominitz

Thomas F Imperiale

P577

2015-03-10T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P5875

273386967

http://www.w3.org/2001/XMLSchema#string

P6179

1041286861

http://www.w3.org/2001/XMLSchema#string

P698

25756240

http://www.w3.org/2001/XMLSchema#string

P921