Author

P. L. Kip

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Microbiology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Assay:clinical cohort / trial· 1 Research Focus:clustering· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

A. W. Pasculle· 1 shared C. M. Baxter· 1 shared G. M. Snyder· 1 shared J. N. Seheult· 1 shared L. Contis· 1 shared M. N. Stram· 1 shared M. Ondras· 1 shared R. E. Pontzer· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperMicrobiology

A. W. Pasculle

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Development and Evaluation of a Machine Learning Recursive Partitioning Decision Tree Algorithm to Optimize Urinalysis Parameters to Predict Urine Culture Positivity

J. N. Seheult, M. N. Stram, L. Contis, R. E. Pontzer, S. Hardy, C. M. Baxter, M. Ondras, W. Wertz, P. L. Kip, G. M. Snyder, A. W. Pasculle

The paper develops a machine learning decision tree algorithm to predict urine culture positivity using urinalysis parameters, achieving high predictive accuracy and supporting a reflex protocol to reduce unnecessary cultures.

bioRxiv · Mar 10, 2023 · PreprintMicrobiology