Paper Resources

Resources for “Study of Methods for Abstract Screening in a Systematic Review Platform”


Download Graphical Abstract.

Download Slide.

Download Results.

Download Report.

Some interesting query results from our trained word2vec model.

Query Result
model.similarity (`liver’, `cirrhosis’) 0.63
model.similarity (`breast’,`cancer’) 0.46
model.most_similar(positive=[`liver’], top-k with k=10) hepatic (0.67), cirrhosis (0.63), cholestatic (0.51), spleen (0.51), steatosis (0.5), kidney (0.50), steatohepatitis (0.50), extrahepatic (0.46), pancreas (0.45), cirrhotic (0.45)
model.most_similar(positive=[`cancer’,`cirrhosis’], negative=[`breast’], top-k with k=5) cirrhotic (0.46), hcc (0.46), liver (0.45), heptocellular (0.43), metavir (0.43)

Compiled Results for RelRank (3-star), RelRank (4-star) and RelRank (5-star)

RelRank (3-star)

Metric Low Preval. Mid Preval. High Preval.
Prec 3.78 11.78 22.98
Recall 96.11 97.65 98.43
AUC 86.38 86.70 86.84
AUCPR 36.27 49.87 63.81
Burden 90.06 91.10 93.03
Utility 93.64 94.32 94.60
Yield 98.04 98.82 99.21
AM Error 0.417 0.414 0.424
QM Error 0.517 0.573 0.591

RelRank (4-star)

Metric Low Preval. Mid Preval. High Preval.
Prec 4.63 15.56 31.43
Recall 92.4 94.16 93.82
AUC 86.38 86.70 86.84
AUCPR 36.27 49.87 63.81
Burden 78.29 78.80 78.89
Utility 92.38 93.28 93.12
Yield 96.10 97.08 96.91
AM Error 0.316 0.298 0.276
QM Error 0.407 0.385 0.353

RelRank (5-star)

Metric Low Preval. Mid Preval. High Preval.
Prec 6.22 21.77 41.62
Recall 85.37 86.50 84.108
AUC 86.38 86.70 86.84
AUCPR 36.27 49.87 63.81
Burden 68.24 68.66 69.15
Utility 89.63 90.15 88.99
Yield 92.67 93.25 92.05
AM Error 0.248 0.228 0.216
QM Error 0.286 0.283 0.230