This open access book from Springer describes the results of natural language processing and machine learning methods applied to clinical text from electronic patient records.
Table of Contents
The History of the Patient Record and the Paper Record
User Needs: Clinicians, Clinical Researchers and Hospital Management
Characteristics of Patient Records and Clinical Corpora
Medical Classifications and Terminologies
Evaluation Metrics and Evaluation
Basic Building Blocks for Clinical Text Processing
Computational Methods for Text Analysis and Text Classification
Ethics and Privacy of Patient Records for Clinical Text Mining Research
Applications of Clinical Text Mining
Networks and Shared Tasks in Clinical Text Mining
Conclusions and Outlook
Many countries have introduced HPV vaccination programs without establishing the baseline for HPV prevalence. Using prevalence of vaccine versus non-vaccine HPV types from a county where we had actual baseline data we made a reconstructed baseline. Methods were validated by computing the Bhattacharyya coefficient of divergence. Protective effectiveness where baseline data was missing could then be estimated using non-vaccine HPV type data to reconstruct the baseline.
Vaccine 1 May 2018 https://doi.org/10.1016/j.vaccine.2018.04.073
In order to prevent cervical cancer, all women in the country are called for tests every three years from the age of 23. Now research on register data shows that for many women it would be sufficient to go every nine years. Also research shows that it is possible to identify a high risk group that should come more often than today.
Read more here at the Swedish National Quality Registers web page.
The mobile application FightHPV is an educational game developed to provide information about main topics related to HPV. It was developed by researchers at the Norwegian Cancer Registry and financed by NIASC. Read more here.
FIMM is recruiting a Bioinformatician as part of the NIASC network. Please apply before May 7th 2017.
NIASC and NeIC organised a three-day Nordic Workshop on Nordic Big Biomedical Data for Action, November 2016, Stockholm, Sweden. For material related to the workshop please see presentations here.