[HTML][HTML] Combining knowledge and data driven insights for identifying risk factors using electronic health records
… risk factors that are not in the existing known factors and can better predict the onset of HF.
We quantitatively compare different sets of risk factors in … The combined risk factors between …
We quantitatively compare different sets of risk factors in … The combined risk factors between …
Identification and progression of heart disease risk factors in diabetic patients from longitudinal electronic health records
… Deidentified health records used in this research were provided by the i2b2 National Center
… 2U54LM008748 and 1R13LM01141101 from National Institute of Health (NIH). This study …
… 2U54LM008748 and 1R13LM01141101 from National Institute of Health (NIH). This study …
Defining and assessing geriatric risk factors and associated health care utilization among older adults using claims and electronic health records
… geriatric risk factors are related to health care utilization, we estimated the association between
year 1 geriatric risk index with these health … for demographic and comorbidity risk factors. …
year 1 geriatric risk index with these health … for demographic and comorbidity risk factors. …
Landmark models for optimizing the use of repeated measurements of risk factors in electronic health records to predict future disease risk
… A landmark age is a reference point (eg, 40, 45, 50,…, 85 years) at which we want to make
risk predictions using risk factor information collected up to that age. A series of prediction …
risk predictions using risk factor information collected up to that age. A series of prediction …
Documentation of hospitalization risk factors in electronic health records (EHRs): a qualitative study with home healthcare clinicians
M Hobensack, M Ojo, Y Barrón… - Journal of the …, 2022 - academic.oup.com
… For the latter 2 categories, response to risk factors and documentation of risk factors …
participation in the original interview or listening to the audio recordings (MH and MO). (2) Codes …
participation in the original interview or listening to the audio recordings (MH and MO). (2) Codes …
Risk prediction on electronic health records with prior medical knowledge
… weights w ∈ W of risk factors belonging to different categories can be learned automatically.
(2) We use the weighted combination of all the risk factors to predict the risk of diseases, ie, …
(2) We use the weighted combination of all the risk factors to predict the risk of diseases, ie, …
Risk factors for incident heart failure in age‐and sex‐specific strata: a population‐based cohort using linked electronic health records
… of differences in the contribution of risk factors across different patient groups of interest (…
of electronic health records (EHR) may provide the opportunity to study risk factors among …
of electronic health records (EHR) may provide the opportunity to study risk factors among …
[HTML][HTML] Heart disease risk factors detection from electronic health records using advanced NLP and deep learning techniques
EH Houssein, RE Mohamed, AA Ali - Scientific Reports, 2023 - nature.com
… to detect risk factors for heart disease, but none have identified all risk factors. These studies
… (track2) focused on detecting risk factors for heart disease risk factors in clinical notes over …
… (track2) focused on detecting risk factors for heart disease risk factors in clinical notes over …
Do health checks improve risk factor detection in primary care? Matched cohort study using electronic health records
AS Forster, C Burgess, H Dodhia, F Fuller… - … of Public Health, 2016 - academic.oup.com
… Initially, we evaluated risk factor recording for NHS Health Check participants and controls,
stratifying the results by gender and quintile of the IMD 2010 score. We evaluated the …
stratifying the results by gender and quintile of the IMD 2010 score. We evaluated the …
[HTML][HTML] Coronary artery disease risk assessment from unstructured electronic health records using text mining
… data related to risk factors from unstructured clinical … risk factors from unstructured electronic
health records using clinical text mining and to calculate 10-year coronary artery disease risk …
health records using clinical text mining and to calculate 10-year coronary artery disease risk …
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