CUSTOM-SEQ: a prototype for oncology rapid learning in a comprehensive EHR environment. - Wikidata - awgldk - TriplyDB

CUSTOM-SEQ: a prototype for oncology rapid learning in a comprehensive EHR environment.

CUSTOM-SEQ: a prototype for oncology rapid learning in a comprehensive EHR environment.

http://www.wikidata.org/entity/Q37051421

about

Decision support systems for incurable non-small cell lung cancer: a systematic review Precision medicine informatics.SemEHR: A general-purpose semantic search system to surface semantic data from clinical notes for tailored care, trial recruitment, and clinical research.

P2860

Q42284446-7BE8AE4E-A17E-4E07-9F49-AFD5C5AAD634 Q42507839-CEC3FC04-85BC-47E5-B56A-FFEED27FF717 Q47552792-1FB0C419-74B8-443F-98AC-CDD5B11FE52F

P2860

CUSTOM-SEQ: a prototype for oncology rapid learning in a comprehensive EHR environment.

http://www.wikidata.org/entity/Q37051421

description

article científic

@ca

article scientifique

@fr

articolo scientifico

@it

artigo científico

@pt

bilimsel makale

@tr

scientific article published on 23 March 2016

@en

vedecký článok

@sk

vetenskaplig artikel

@sv

videnskabelig artikel

@da

vědecký článek

@cs

name

CUSTOM-SEQ: a prototype for oncology rapid learning in a comprehensive EHR environment.

@en

CUSTOM-SEQ: a prototype for oncology rapid learning in a comprehensive EHR environment.

@nl

type

label

CUSTOM-SEQ: a prototype for oncology rapid learning in a comprehensive EHR environment.

@en

CUSTOM-SEQ: a prototype for oncology rapid learning in a comprehensive EHR environment.

@nl

prefLabel

CUSTOM-SEQ: a prototype for oncology rapid learning in a comprehensive EHR environment.

@en

CUSTOM-SEQ: a prototype for oncology rapid learning in a comprehensive EHR environment.

@nl

P1433

Q37051421-6DB2BBB6-051C-480A-997F-27FE28ABCEA3

P1476

Q37051421-8E3F3473-3D01-45BE-A19E-B94F018DFE38

P2093

Q37051421-294B64B2-9CFD-4136-B3CC-5598C11B3828

Q37051421-38F43239-DA8F-4DA3-A5B4-E1DC5E42FC7A

Q37051421-40AA33CF-8923-4A45-AD2E-2CE7E8EEB7EF

Q37051421-5D3A06DD-66A2-4196-8CB6-3ABB71F6B8E6

Q37051421-83A6B496-223C-4BD4-A95B-E9C7EE44F210

Q37051421-EA7B29EC-C697-468F-8EF3-443570EFAA84

P2860

Q37051421-06DD96B9-7836-4D83-B59F-F70DD50FB3B0

Q37051421-081B1294-CB20-4962-A2E5-0D30F5748272

Q37051421-0965861E-4823-493A-8A26-68667AA79631

Q37051421-0DBD5E2A-BF14-4871-A7E1-693C7DA6D28C

Q37051421-149224D3-124F-438A-A5B7-158093C867E4

Q37051421-15D713B1-EB67-4DB1-A611-D612E3F5B762

Q37051421-174066D1-BE25-41AB-8414-97F8FDC00786

Q37051421-1EE61665-B4FE-4E03-AD56-39D82DD9E9F2

Q37051421-1F1BA6E2-746F-4BF5-97DC-91596C3DDB0F

Q37051421-1FCC61C1-737A-4076-A81F-9E0964948750

P304

Q37051421-1B69CD3C-C672-48EE-8281-07569EB8753E

P31

Q37051421-8B307C79-CAB7-41D1-811A-AF297450146A

P356

Q37051421-268E60FD-AD7D-4189-AC69-44AF36B7777B

P433

Q37051421-275246F4-21FA-4B8A-92BA-390698E47E72

P478

Q37051421-E04FDB79-88D6-467B-8B83-23E8BE110A6B

P50

Q37051421-3445BF03-52B6-4E33-BF39-51288A186CB8

P577

Q37051421-3F428535-EBE9-4DE5-8F34-A1005EFE876B

P698

Q37051421-228701CF-FA14-42DF-85F8-82AD3318FB3F

P932

Q37051421-B154C871-DEA6-42A9-8DE4-2A3D8A9DAD59

P356

P1433

Journal of the American Medical Informatics Association

P1476

CUSTOM-SEQ: a prototype for oncology rapid learning in a comprehensive EHR environment.

@en

P2093

Jeffrey A Sosman

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

Jeremy L Warner

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

Lucy Wang

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

Mia A Levy

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

Pam Carney

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

Ravi V Atreya

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

P2860

Why most published research findings are false

Cancer genome landscapes

EGF receptor gene mutations are common in lung cancers from "never smokers" and are associated with sensitivity of tumors to gefitinib and erlotinib

A landscape of driver mutations in melanoma

The Cancer Genome Atlas Pan-Cancer analysis project

Improved survival with vemurafenib in melanoma with BRAF V600E mutation

Frequent somatic mutations of GNAQ in uveal melanoma and blue naevi

CancerLinQ and the future of cancer care

Anaplastic lymphoma kinase inhibition in non-small-cell lung cancer.

Analysis of tumor specimens at the time of acquired resistance to EGFR-TKI therapy in 155 patients with EGFR-mutant lung cancers.

P304

692-700

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

P31

scholarly article

P356

10.1093/JAMIA/OCW008

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

P433

4

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

P478

23

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

P50

P577

2016-03-23T00:00:00Z

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

P698

27008846

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

P932

4926743

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