Author

Maxwell W. Dixon

Washington University in St. LouisORCID 0000-0002-3220-9656Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Arsham SheybaniiD· 1 shared Bahareh RahmaniiD· 1 shared Paul Morrison· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 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 paperBioinformatics

Arsham SheybaniORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Predicting failures of Molteno and Baerveldt glaucoma drainage devices using machine learning models

Paul Morrison, Maxwell W. Dixon, Arsham Sheybani, Bahareh Rahmani

This study uses machine learning to predict glaucoma drainage device failure based on patient demographics and preoperative data, finding logistic regression performs best.

Computer Science & Information Technology (CS & IT) · Nov 28, 2020Peer-reviewedBioinformatics