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Table 1 Result of document triage task of the BioCreative VI precision medicine track. Our team ID is 433. Our method achieved highest recall and comparable F1 score among all the methods better than the baseline model

From: Triage of documents containing protein interactions affected by mutations using an NLP based machine learning approach

Team

Precision

Recall

F1

AvPr

421

0.6073

0.7997

0.6904

0.7253

418

0.6289

0.7656

0.6906

0.7185

374

0.6070

0.7898

0.6864

0.6929

375

0.5783

0.7713

0.6610

0.6822

433

0.5413

0.8835

0.6713

0.6632

Baseline

0.6122

0.6435

0.6274

0.6515

420

0.5438

0.8736

0.6703

0.6439

419

0.5992

0.6222

0.6105

0.6334

405

0.5484

0.5710

0.5595

0.5871

414

0.5022

0.9801

0.6641

0.5008

379

0.4649

0.3480

0.3981

0.4904

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BMC Genomics

ISSN: 1471-2164

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