[HTML][HTML] Identifying dementia cases with routinely collected health data: a systematic review
T Wilkinson, A Ly, C Schnier, K Rannikmäe… - Alzheimer's & …, 2018 - Elsevier
Introduction Prospective, population-based studies can be rich resources for dementia
research. Follow-up in many such studies is through linkage to routinely collected, coded …
research. Follow-up in many such studies is through linkage to routinely collected, coded …
[HTML][HTML] Systematic evaluation of research progress on natural language processing in medicine over the past 20 years: bibliometric study on PubMed
J Wang, H Deng, B Liu, A Hu, J Liang, L Fan… - Journal of medical …, 2020 - jmir.org
Background Natural language processing (NLP) is an important traditional field in computer
science, but its application in medical research has faced many challenges. With the …
science, but its application in medical research has faced many challenges. With the …
Big data management in healthcare: Adoption challenges and implications
PT Chen, CL Lin, WN Wu - International Journal of Information …, 2020 - Elsevier
The computerized healthcare information system has undergone tremendous
advancements in the previous two decades. Medical institutions are paying further attention …
advancements in the previous two decades. Medical institutions are paying further attention …
Mental health in UK Biobank–development, implementation and results from an online questionnaire completed by 157 366 participants: a reanalysis
BackgroundUK Biobank is a well-characterised cohort of over 500 000 participants including
genetics, environmental data and imaging. An online mental health questionnaire was …
genetics, environmental data and imaging. An online mental health questionnaire was …
[HTML][HTML] Characterisation of mental health conditions in social media using Informed Deep Learning
The number of people affected by mental illness is on the increase and with it the burden on
health and social care use, as well as the loss of both productivity and quality-adjusted life …
health and social care use, as well as the loss of both productivity and quality-adjusted life …
Development and validation of a clinically based risk calculator for the transdiagnostic prediction of psychosis
Importance The overall effect of At Risk Mental State (ARMS) services for the detection of
individuals who will develop psychosis in secondary mental health care is undetermined …
individuals who will develop psychosis in secondary mental health care is undetermined …
[图书][B] Clinical text mining: Secondary use of electronic patient records
H Dalianis - 2018 - library.oapen.org
Hercules Dalianis Secondary Use of Electronic Patient Records Page 1 Hercules Dalianis
Clinical Text Mining Secondary Use of Electronic Patient Records Page 2 Clinical Text …
Clinical Text Mining Secondary Use of Electronic Patient Records Page 2 Clinical Text …
Natural language processing to extract symptoms of severe mental illness from clinical text: the Clinical Record Interactive Search Comprehensive Data Extraction …
Objectives We sought to use natural language processing to develop a suite of language
models to capture key symptoms of severe mental illness (SMI) from clinical text, to facilitate …
models to capture key symptoms of severe mental illness (SMI) from clinical text, to facilitate …
Association between air pollution exposure and mental health service use among individuals with first presentations of psychotic and mood disorders: retrospective …
BackgroundGrowing evidence suggests that air pollution exposure may adversely affect the
brain and increase risk for psychiatric disorders such as schizophrenia and depression …
brain and increase risk for psychiatric disorders such as schizophrenia and depression …
[HTML][HTML] Identifying suicide ideation and suicidal attempts in a psychiatric clinical research database using natural language processing
AC Fernandes, R Dutta, S Velupillai, J Sanyal… - Scientific reports, 2018 - nature.com
Research into suicide prevention has been hampered by methodological limitations such as
low sample size and recall bias. Recently, Natural Language Processing (NLP) strategies …
low sample size and recall bias. Recently, Natural Language Processing (NLP) strategies …