Mining electronic health records: towards better research applications and clinical care - Wikidata - wikimedia - TriplyDB

Mining electronic health records: towards better research applications and clinical care

Mining electronic health records: towards better research applications and clinical care

http://www.wikidata.org/entity/Q27927409

about

Describing the relationship between cat bites and human depression using data from an electronic health record 'Big data' in mental health research: current status and emerging possibilities Electronic health records: new opportunities for clinical research Conditional Disease Development extracted from Longitudinal Health Care Cohort Data using Layered Network Construction.DRABAL: novel method to mine large high-throughput screening assays using Bayesian active learning Characteristics desired in clinical data warehouse for biomedical research Knowledge retrieval from PubMed abstracts and electronic medical records with the Multiple Sclerosis Ontology Identification of Adverse Drug Events from Free Text Electronic Patient Records and Information in a Large Mental Health Case Register Translational bioinformatics in the era of real-time biomedical, health care and wellness data streams A tamper-proof audit and control system for the doctor in the loop WebDISCO: a web service for distributed cox model learning without patient-level data sharing Ethical considerations for informed consent in infertility research: The use of electronic health records EHDViz: clinical dashboard development using open-source technologies Recent Advances in Clinical Natural Language Processing in Support of Semantic Analysis A Scalable Framework to Detect Personal Health Mentions on Twitter Integrating Multiple On-line Knowledge Bases for Disease-Lab Test Relation Extraction Mining Electronic Health Records using Linked Data Systems Medicine 2.0: potential benefits of combining electronic health care records with systems science models Big Data in Healthcare - Defining the Digital Persona through User Contexts from the Micro to the Macro. Contribution of the IMIA Organizational and Social Issues WG Big data in medicine is driving big changes Applying MetaMap to Medline for identifying novel associations in a large clinical dataset: a feasibility analysis The Drug Data to Knowledge Pipeline: Large-Scale Claims Data Classification for Pharmacologic Insight Negation scope and spelling variation for text-mining of Danish electronic patient records HealthRecSys: A semantic content-based recommender system to complement health videos Ontology-based data integration between clinical and research systems Reply to 'Mining electronic health records: an additional perspective'Dose-Specific Adverse Drug Reaction Identification in Electronic Patient Records: Temporal Data Mining in an Inpatient Psychiatric Population Birth month affects lifetime disease risk: a phenome-wide method Computational drug repositioning: from data to therapeutics.Improving data and knowledge management to better integrate health care and research.Application of machine learning algorithms for clinical predictive modeling: a data-mining approach in SCT.A survey aimed at general citizens of the US and Japan about their attitudes toward electronic medical data handling Data mining for identifying novel associations and temporal relationships with Charcot foot.Community-level determinants of obesity: harnessing the power of electronic health records for retrospective data analysis."Big data" and the electronic health record.Functional evaluation of out-of-the-box text-mining tools for data-mining tasks.Comparative effectiveness research and big data: balancing potential with legal and ethical considerations.Big data and public health: navigating privacy laws to maximize potential Variation in Cohorts Derived from EHR Data in Four Care Delivery Settings.[Health care research: potential beneficiary of big data].

P2860

Q21559577-BF27592C-2505-4257-8108-069E36E56447 Q26741297-87AF9D78-9ECA-4926-AB7F-BA451E77AA8E Q26851136-F13ABF40-DED5-4ECB-94B4-8A81A1B5AB37 Q27314566-1FFD79CB-7FEE-43A6-BB06-41988D9C406C Q27902260-2904E69E-A937-4A26-B615-838B746D642C Q28386438-B3341C12-2DF3-4E83-85E5-1D4FA2D230C8 Q28543366-E4390C09-8D1C-40DC-8524-36BF23C55456 Q28547303-E1CB29E2-F8E0-4225-AA0B-4C56882E0D0F Q28583313-90A87F2B-0A7B-4889-B20C-9B4F3211D4E7 Q28595902-8656079D-6FB7-4AE2-B521-D4E5DB5DE756 Q28596400-24165F6B-EBCE-4533-941C-AD7F2BCC3156 Q28601036-EAEFE586-DA94-4E63-AAA6-BBCF43BCF56F Q28601874-08E596BB-E9ED-40E0-82D3-10DE9735F756 Q28607130-D5BEB733-4194-489F-A360-2E475CD4C516 Q28643295-E078DE76-56CC-4BA3-91D0-2278FBC03DAF Q28645604-A8EBE143-4EAE-4031-A9CF-2C7D2DAE0F31 Q28645606-3408DD50-E915-4823-9CD5-BD33BE82B29B Q28650276-61BB2F0F-FA16-40CD-986A-B5111678094F Q28652525-C7C45692-60B6-4BC6-9ECA-C85D18D485CC Q28652529-6FC0A295-B007-4975-A609-47184A423C95 Q28656396-1A8A65E4-9866-468A-A90E-4697A860F271 Q28828690-6EFC85C4-C067-48D7-A6DB-82718B2288CF Q29089745-ea583093-46dc-725c-25ea-5547b604eb1e Q29994687-6967AACC-41AC-4D3D-B64F-CCDF06CFE3DC Q30000636-C3AB2F51-AC4B-45EC-82CC-39430CC59C42 Q30002369-37D6A9E0-9EAC-43BF-9C7A-ACAD616FE945 Q30002404-CD8AD36D-9A02-4B5A-A7C8-BA6E03DB7719 Q30375296-0858B7F3-BF7C-42C1-B3CF-9E5F4C4BBB16 Q30594820-A5E9AB36-3D40-4C65-9A68-8CE5CD7D3830 Q30652067-3C61FD22-44B3-4A8E-8EFD-B95B0A9EEE1A Q30671533-06134B48-4A08-4431-A936-77D8C4137A4E Q30810805-D904E5B7-2578-425F-B056-B0E312F9A279 Q30827213-A1CE0E2D-1BB9-4C52-94AA-9C9E36ED9D9C Q30828243-EF3068AF-DEC3-44AD-901E-5F4CD177EA3A Q30842802-FDFE3603-AA42-429D-BE5E-8FFE599A54EA Q30863601-71722085-A904-4A79-9A39-315A50AD0F38 Q30883073-A5183AF0-2E96-4C06-88A7-B98F20B76E56 Q30902162-DA80B69F-B1F6-41B6-A368-24E7A7CD70F3 Q30947089-9909C6AD-FB20-47BA-870A-0C04ADEFCD50 Q30969696-A80A21F7-EA43-4CA5-A858-13B6E248C46A

P2860

Mining electronic health records: towards better research applications and clinical care

http://www.wikidata.org/entity/Q27927409

description

2012 nî lūn-bûn

@nan

2012 թուականի Մայիսին հրատարակուած գիտական յօդուած

@hyw

2012 թվականի մայիսին հրատարակված գիտական հոդված

@hy

2012年の論文

@ja

2012年論文

@yue

2012年論文

@zh-hant

2012年論文

@zh-hk

2012年論文

@zh-mo

2012年論文

@zh-tw

2012年论文

@wuu

name

Mining electronic health records: towards better research applications and clinical care

@ast

Mining electronic health records: towards better research applications and clinical care

@en

Mining electronic health records: towards better research applications and clinical care

@nl

type

label

Mining electronic health records: towards better research applications and clinical care

@ast

Mining electronic health records: towards better research applications and clinical care

@en

Mining electronic health records: towards better research applications and clinical care

@nl

prefLabel

Mining electronic health records: towards better research applications and clinical care

@ast

Mining electronic health records: towards better research applications and clinical care

@en

Mining electronic health records: towards better research applications and clinical care

@nl

P1433

Q27927409-4BD82CA1-58A4-42A1-81BE-05A6D508D667

P1476

Q27927409-C1F34A9B-50D3-4528-9668-AF1D4599B48C

P2860

Q27927409-0249D678-3C5D-4B14-92DA-E39DCC32B219

Q27927409-02F2F64C-3045-4757-87F5-B6827E430969

Q27927409-030E1EDD-4A7E-4B0C-A63B-6A8CC234DF76

Q27927409-05F227F6-5336-4681-8728-FD6CD5836D8E

Q27927409-08DD27B2-C56F-456E-B1CA-072A9CB9330F

Q27927409-0FD615C7-19B3-42A4-8BCE-D0FA81184C38

Q27927409-10D068C9-326C-4C22-AF0C-FF21A888EACE

Q27927409-14BAE13C-4CB7-43CF-9A5B-C2837257CE85

Q27927409-159DF731-2963-49A3-9D6D-787C245E1454

Q27927409-1691973B-D435-49A1-AFDA-050AA988F8E8

P2888

Q27927409-9C265A7C-4F56-4D26-B877-29ABE6442926

P304

Q27927409-ECD60953-A379-473B-A682-9DAD08E93531

P31

Q27927409-E40C0275-EFE3-467F-AEA4-FD7ECC4E861B

P3181

Q27927409-C1D088BE-D652-4EFC-8A81-5A9501BB6026

P356

Q27927409-5DECBB39-C3AC-4347-A00F-313CED7AC18B

P433

Q27927409-9ABB8B8E-9E07-4769-BBD5-2BF54B163370

P478

Q27927409-CC795344-C07F-4850-881D-D5265AC9451F

P50

Q27927409-2AEAAF98-ECDD-4BD3-A02B-CDDC1BE62362

Q27927409-68A1E82B-572B-41FF-92DB-47CE393E46BE

Q27927409-AEE14EFB-F913-49A8-B4A8-0415815E46F2

P577

Q27927409-893A2A47-39C4-4CC2-9F95-28FF83D16C41

P6179

Q27927409-40B0519D-DBFC-40DB-984A-1182BFCD0E82

P698

Q27927409-A5911CD3-7405-465D-A251-DC1204276A02

P921

Q27927409-eb0fd3eb-48f1-9478-14f9-75c55bca8622

P3181

P356

P1433

Nature Reviews Genetics

P1476

Mining electronic health records: towards better research applications and clinical care

@en

P2860

Resolving individuals contributing trace amounts of DNA to highly complex mixtures using high-density SNP genotyping microarrays

A dynamic network approach for the study of human phenotypes

Enterotypes of the human gut microbiome

Clinical assessment incorporating a personal genome

The human disease network

Electronic health records: Implications for drug discovery

Biomedical informatics and translational medicine

Epidemiology. When an entire country is a cohort

The eMERGE Network: a consortium of biorepositories linked to electronic medical records data for conducting genomic studies

Discovering disease associations by integrating electronic clinical data and medical literature

P2888

P304

395-405

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

P31

scholarly article

P3181

1139646

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

P356

10.1038/NRG3208

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

P433

6

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

P478

13

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

P50

Lars Juhl Jensen

Peter Bjødstrup Jensen

P577

2012-05-02T00:00:00Z

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

P6179

1011498059

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

P698

22549152

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

P921

electronic health record