Anoop D. Shah
The Lancet · 2012–2022
A researcher in the Science corpus: 5 papers; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Anoop D. Shah trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Daniel J. Stekhoven
- Donald B. Rubin
- Andy Liaw
- Makoto Matsumoto
- James R. Carpenter
- Trevor J. Hastie
- Hemant Ishwaran
- Peter Buhlmann
- Matthew C. Wiener
- Leo Breiman
Who trusts Anoop D. Shah overall
Papers from Anoop D. Shah's perspective
Ordered by how strongly the researchers Anoop D. Shah trusts endorse each paper. Same corpus, a different order for every researcher.
- Random Forests
- Analysis of Incomplete Multivariate Data (Technometrics)
- Random survival forests
- Classification and Regression by randomForest
- Multiple Imputation After 18+ Years
- MissForest - non-parametric missing value imputation for mixed-type data (Bioinform.)
- Missing data
- Automated encoding of clinical documents based on natural language processing. (JAMIA Journal of the American Medical Informatics Association)
- REALCOM-IMPUTE Software for Multilevel Multiple Imputation with Mixed Response Types
- Mersenne twister: a 623-dimensionally equidistributed uniform pseudo-random number generator
Their papers
- Extracting Diagnoses and Investigation Results from Unstructured Text in Electronic Health Records by Semi-Supervised Machine Learning (2012) — 110 citations
- Using clinical Natural Language Processing for health outcomes research: Overview and actionable suggestions for future advances (2018) — 214 citations
- Symptoms and risk factors for long COVID in non-hospitalized adults (2022) — 877 citations
- Blood pressure and incidence of twelve cardiovascular diseases: lifetime risks, healthy life-years lost, and age-specific associations in 1·25 million people (2014) — 1,416 citations
- Comparison of Random Forest and Parametric Imputation Models for Imputing Missing Data Using MICE: A CALIBER Study (2014) — 701 citations