Evaluating topic model interpretability from a primary care physician perspective.
about
Improving the utility of MeSH® terms using the TopicalMeSH representation.Using phrases and document metadata to improve topic modeling of clinical reports.What Patients Can Tell Us: Topic Analysis for Social Media on Breast Cancer.Interpretable Topic Features for Post-ICU Mortality Prediction.Using Clinical Notes and Natural Language Processing for Automated HIV Risk Assessment.Validation of a Natural Language Processing Algorithm for Detecting Infectious Disease Symptoms in Primary Care Electronic Medical Records in Singapore.
P2860
Evaluating topic model interpretability from a primary care physician perspective.
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年学术文章
@wuu
2015年学术文章
@zh-cn
2015年学术文章
@zh-hans
2015年学术文章
@zh-my
2015年学术文章
@zh-sg
2015年學術文章
@yue
2015年學術文章
@zh
2015年學術文章
@zh-hant
name
Evaluating topic model interpretability from a primary care physician perspective.
@ast
Evaluating topic model interpretability from a primary care physician perspective.
@en
type
label
Evaluating topic model interpretability from a primary care physician perspective.
@ast
Evaluating topic model interpretability from a primary care physician perspective.
@en
prefLabel
Evaluating topic model interpretability from a primary care physician perspective.
@ast
Evaluating topic model interpretability from a primary care physician perspective.
@en
P2093
P2860
P1476
Evaluating topic model interpretability from a primary care physician perspective.
@en
P2093
Corey W Arnold
Shawn Chen
P2860
P356
10.1016/J.CMPB.2015.10.014
P577
2015-10-30T00:00:00Z