Data to diagnosis in global health: a 3P approach - Wikidata - wikimedia - TriplyDB

Data to diagnosis in global health: a 3P approach

Data to diagnosis in global health: a 3P approach

http://www.wikidata.org/entity/Q57092824

about

Data to diagnosis in global health: a 3P approach

http://www.wikidata.org/entity/Q57092824

description

article

@en

wetenschappelijk artikel

@nl

наукова стаття, опублікована у вересні 2018

@uk

name

Data to diagnosis in global health: a 3P approach

@en

Data to diagnosis in global health: a 3P approach

@nl

type

label

Data to diagnosis in global health: a 3P approach

@en

Data to diagnosis in global health: a 3P approach

@nl

prefLabel

Data to diagnosis in global health: a 3P approach

@en

Data to diagnosis in global health: a 3P approach

@nl

P1433

Q57092824-03280C06-EADA-4DCD-96B7-22D65587DA49

P1476

Q57092824-4EEDEAA9-1695-4B54-9790-70E3BAC9314D

P2093

Q57092824-D4D204C3-BB29-49BD-B10C-82D07AD2B833

Q57092824-D8B9304C-0A99-4412-BBF4-2BB935C39A9C

P2860

Q57092824-110DD47D-FF12-4C5D-A03F-DC005734496E

Q57092824-2EDBC0AF-73B0-4D74-8DC7-3AD08059E844

Q57092824-3AE110EC-505C-4A55-B974-3C5B064278F6

Q57092824-4DDB5E9A-F1AB-42D7-8CDB-2D35A1D3F975

Q57092824-5849AF0E-EAA9-4A09-8AB6-9FAA46464F47

Q57092824-596DC7A6-D690-4D85-9847-2B40822F830A

Q57092824-69329CC2-425E-4DA5-801A-FB5548556FB9

Q57092824-79A7BBBE-E7FE-4BFB-B06C-187785385B96

Q57092824-7EC1EBD9-195A-4690-8BE3-33F855A24CDB

Q57092824-835B88A6-7BA7-41FE-99A3-912CF876AB79

P2888

Q57092824-1A0C97E4-7D2F-4F78-BAF3-58869271FE79

P304

Q57092824-B624ED68-B106-4004-8045-A98D14DDE1F1

P31

Q57092824-8B88BA0B-F22A-466D-85E0-561CFD42F748

P356

Q57092824-6CE4F687-0C43-411F-B35C-FAAA06390CB6

P407

Q57092824-D9DD62B8-EBC2-4310-A46A-9D98D22BD173

P433

Q57092824-E36F8708-BEFF-4F6A-9372-12392F488401

P478

Q57092824-C7766CE5-9D4F-4144-8894-A12ADDBF6463

P50

Q57092824-305894CB-FCCA-4A11-956D-053468FFF440

P577

Q57092824-55921231-B0A6-4AFC-987E-83FA6AF390B6

P698

Q57092824-424FDDCB-BCBE-404A-AE01-E4188F1BEAA8

P921

Q57092824-372E75FF-BF9E-45C4-A60F-9E4CF965C21D

Q57092824-79c63aaf-f4a7-4473-86fe-8ecd01dc68d1

P932

Q57092824-67751644-30FD-461B-90AE-FFECE5A79565

P356

S12911-018-0658-Y

P1433

BMC Medical Informatics and Decision Making

P1476

Data to diagnosis in global health: a 3P approach

@en

P2093

Ekanath Srihari Rangan

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

P Durga

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

P2860

PhysioBank, PhysioToolkit, and PhysioNet : Components of a New Research Resource for Complex Physiologic Signals

Multiparameter Intelligent Monitoring in Intensive Care II: a public-access intensive care unit database

Automated Health Alerts Using In-Home Sensor Data for Embedded Health Assessment

Big data in health care: using analytics to identify and manage high-risk and high-cost patients.

Big data for health.

Predicting Acute Hypotensive Episodes: The 10th Annual PhysioNet/Computers in Cardiology Challenge.

Ontology-driven monitoring of patient's vital signs enabling personalized medical detection and alert.

Discovering Multidimensional Motifs in Physiological Signals for Personalized Healthcare.

Home telemonitoring of vital signs--technical challenges and future directions.

AMON: a wearable multiparameter medical monitoring and alert system.

P2888

s12911-018-0658-y

P304

78

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

P31

scholarly article

P356

10.1186/S12911-018-0658-Y

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

P407

P433

1

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

P478

18

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

P50

Rahul Krishnan Pathinarupothi

P577

2018-09-04T00:00:00Z

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

P698

30180839

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

P921

P932

6124014

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