Constrained binary classification using ensemble learning: an application to cost-efficient targeted PrEP strategies.

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Constrained binary classification using ensemble learning: an application to cost-efficient targeted PrEP strategies.

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2017 nî lūn-bûn

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Constrained binary classificat ...... ient targeted PrEP strategies.

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Constrained binary classificat ...... ient targeted PrEP strategies.

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Constrained binary classificat ...... ient targeted PrEP strategies.

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Constrained binary classificat ...... ient targeted PrEP strategies.

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Constrained binary classificat ...... ient targeted PrEP strategies.

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Constrained binary classificat ...... ient targeted PrEP strategies.

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P1476

Constrained binary classificat ...... cient targeted PrEP strategies

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P2093

Mark van der Laan

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Maya Petersen

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SEARCH Collaboration

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P2860

Random Forests

Super Learner Analysis of Electronic Adherence Data Improves Viral Prediction and May Provide Strategies for Selective HIV RNA Monitoring.

Uptake of community-based HIV testing during a multi-disease health campaign in rural Uganda.

A hybrid mobile approach for population-wide HIV testing in rural east Africa: an observational study

Optimal Allocation of Gold Standard Testing under Constrained Availability: Application to Assessment of HIV Treatment Failure.

Computationally efficient confidence intervals for cross-validated area under the ROC curve estimates

Super learner.

Anxiety disorders in primary care: prevalence, impairment, comorbidity, and detection.

The Patient Health Questionnaire-2: validity of a two-item depression screener.

AUC-Maximizing Ensembles through Metalearning.

P304

261-279

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scholarly article

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10.1002/SIM.7296

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English

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Laura B Balzer

Wenjing Zheng

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2017-04-06T00:00:00Z

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28384841

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5701877

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