Natural language processing and machine learning to enable automatic extraction and classification of patients' smoking status from electronic medical records

A Caccamisi, L Jørgensen, H Dalianis… - Upsala journal of …, 2020 - Taylor & Francis
Background The electronic medical record (EMR) offers unique possibilities for clinical
research, but some important patient attributes are not readily available due to its …
被引用次数：28 相关文章

Natural language processing and machine learning to enable automatic extraction and classification of patients' smoking status from electronic medical records

A Caccamisi, L Jørgensen, H Dalianis… - Upsala Journal of …, 2020 - diva-portal.org
Background: The electronic medical record (EMR) offers unique possibilities for clinical
research, but some important patient attributes are not readily available due to its …
[PDF] archive.org

[PDF][PDF] Natural language processing and machine learning to enable automatic extraction and classification of patients' smoking status from electronic medical records

A Caccamisi, L Jørgensen, H Dalianis… - UPSALA JOURNAL …, 2020 - scholar.archive.org
Background: The electronic medical record (EMR) offers unique possibilities for clinical
research, but some important patient attributes are not readily available due to its …

Natural language processing and machine learning to enable automatic extraction and classification of patients' smoking status from electronic medical records

A Caccamisi, L Jørgensen, H Dalianis… - Upsala Journal of …, 2020 - search.proquest.com
Background The electronic medical record (EMR) offers unique possibilities for clinical
research, but some important patient attributes are not readily available due to its …
[HTML] nih.gov

[HTML][HTML] Natural language processing and machine learning to enable automatic extraction and classification of patients' smoking status from electronic medical …

A Caccamisi, L Jørgensen, H Dalianis… - Upsala Journal of …, 2020 - ncbi.nlm.nih.gov
Background The electronic medical record (EMR) offers unique possibilities for clinical
research, but some important patient attributes are not readily available due to its …

Natural language processing and machine learning to enable automatic extraction and classification of patients' smoking status from electronic medical records

A Caccamisi, L Jørgensen… - Upsala journal of …, 2020 - pubmed.ncbi.nlm.nih.gov
Background The electronic medical record (EMR) offers unique possibilities for clinical
research, but some important patient attributes are not readily available due to its …

Natural language processing and machine learning to enable automatic extraction and classification of patients' smoking status from electronic medical records

A Caccamisi, L Jørgensen, H Dalianis… - Upsala Journal of …, 2020 - ujms.net
Background: The electronic medical record (EMR) offers unique possibilities for clinical
research, but some important patient attributes are not readily available due to its …

Natural language processing and machine learning to enable automatic extraction and classification of patients' smoking status from electronic medical records.

A Caccamisi, L Jørgensen, H Dalianis… - Upsala Journal of …, 2020 - europepmc.org
Background The electronic medical record (EMR) offers unique possibilities for clinical
research, but some important patient attributes are not readily available due to its …
[PDF] researchgate.net

[PDF][PDF] Natural language processing and machine learning to enable automatic extraction and classification of patients' smoking status from electronic medical records

A Caccamisi, L Jørgensen, H Dalianis, M Rosenlund - 2020 - researchgate.net
Background: The electronic medical record (EMR) offers unique possibilities for clinical
research, but some important patient attributes are not readily available due to its …

Natural language processing and machine learning to enable automatic extraction and classification of patients' smoking status from electronic medical records.

A Caccamisi, L Jørgensen, H Dalianis… - Upsala Journal of …, 2020 - europepmc.org
Background The electronic medical record (EMR) offers unique possibilities for clinical
research, but some important patient attributes are not readily available due to its …