Automating Construction of Machine Learning Models With Clinical Big Data: Proposal Rationale and Methods.

about

Progressive sampling-based Bayesian optimization for efficient and automatic machine learning model selection.Toward a Progress Indicator for Machine Learning Model Building and Data Mining Algorithm Execution: A Position Paper.The High-Throughput Analyses Era: Are We Ready for the Data Struggle?

P2860

Q42365486-B5AF4F25-F5AF-490D-BA8E-A4DF764FABA9 Q45943593-1AB50049-9890-45FE-8B29-18B508EEE1C5 Q56524445-A6E95FCF-A2FE-421F-9751-714AA68EC78F

P2860

Automating Construction of Machine Learning Models With Clinical Big Data: Proposal Rationale and Methods.

Item

http://www.wikidata.org/entity/Q38603230

description

2017 nî lūn-bûn

@nan

2017年の論文

@ja

2017年論文

@yue

2017年論文

@zh-hant

2017年論文

@zh-hk

2017年論文

@zh-mo

2017年論文

@zh-tw

2017年论文

@wuu

2017年论文

@zh

2017年论文

@zh-cn

name

Automating Construction of Mac ...... roposal Rationale and Methods.

@en

type

Item

label

Automating Construction of Mac ...... roposal Rationale and Methods.

@en

prefLabel

Automating Construction of Mac ...... roposal Rationale and Methods.

@en

P1476

Automating Construction of Mac ...... roposal Rationale and Methods.

@en

P2093

Adam B Wilcox

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

Flory L Nkoy

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

Sean D Mooney

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

Xiaoming Sheng

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

P2860

Making sense of big data in health research: Towards an EU action plan

Combining knowledge and data driven insights for identifying risk factors using electronic health records

A study in transfer learning: leveraging data from multiple hospitals to enhance hospital-specific predictions

Observational Health Data Sciences and Informatics (OHDSI): Opportunities for Observational Researchers.

MLBCD: a machine learning tool for big clinical data

PredicT-ML: a tool for automating machine learning model building with big clinical data.

Common Big Data Challenges and How to Overcome Them.

Clinical verification of a clinical decision support system for ventilator weaning.

Costs and infant outcomes after implementation of a care process model for febrile infants.

Randomized trial of model predictive control for improved anemia management

P304

e175

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

P31

scholarly article

P356

10.2196/RESPROT.7757

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

P433

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

P478

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

P50

P577

2017-08-29T00:00:00Z

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

P698

28851678

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

P921

machine learning

big data

P932

5596298

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

Automating Construction of Machine Learning Models With Clinical Big Data: Proposal Rationale and Methods.

about

P2860

P2860

Automating Construction of Machine Learning Models With Clinical Big Data: Proposal Rationale and Methods.

description

name

type

label

prefLabel

P1433

P1476

P2093

P2860

P304

P31

P356

P433

P478

P50

P577

P698

P921

P932

P356

P1433

P1476

P2093

P2860

P304

P31

P356

P433

P478

P50

P577

P698

P921

P932