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Total 345 results found since Jan 2013.

CAFT: a deep learning-based comprehensive abdominal fat analysis tool for large cohort studies
CONCLUSIONS: DL-based, comprehensive SSAT, DSAT, and VAT analysis tool showed high accuracy and reproducibility and provided a comprehensive fat compartment composition analysis and visualization in less than 10 s.PMID:34338926 | DOI:10.1007/s10334-021-00946-9
Source: Magma - August 2, 2021 Category: Radiology Authors: Prakash Kn Bhanu Channarayapatna Srinivas Arvind Ling Yun Yeow Wen Xiang Chen Wee Shiong Lim Cher Heng Tan Source Type: research

Using electronic health records to develop and validate a machine-learning tool to predict type 2 diabetes outcomes: a study protocol
Introduction Type 2 diabetes mellitus (T2DM) is a major cause of blindness, kidney failure, myocardial infarction, stroke and lower limb amputation. We are still unable, however, to accurately predict or identify which patients are at a higher risk of deterioration. Most risk stratification tools do not account for novel factors such as sociodemographic determinants, self-management ability or access to healthcare. Additionally, most tools are based in clinical trials, with limited external generalisability. Objective The aim of this work is to design and validate a machine learning-based tool to identify patients with T2...
Source: BMJ Open - July 30, 2021 Category: General Medicine Authors: Neves, A. L., Pereira Rodrigues, P., Mulla, A., Glampson, B., Willis, T., Darzi, A., Mayer, E. Tags: Open access, Health informatics Source Type: research

Predicting the risk of stroke in patients with late-onset epilepsy: A machine learning approach
CONCLUSION: The stroke risk in patients with epilepsy was relatively high and could be predicted based on comorbidities such as diabetes mellitus, hypertension, heart failure, and alcohol dependence. Knowing and addressing these factors may help reduce the risk of stroke in patients with epilepsy.PMID:34325155 | DOI:10.1016/j.yebeh.2021.108211
Source: Epilepsy and Behaviour - July 29, 2021 Category: Neurology Authors: Karel Kostev Tong Wu Yue Wang Kal Chaudhuri Christian Tanislav Source Type: research

Predicting the Risk of Ischemic Stroke in Patients Treated with Novel Oral Anticoagulants: A Machine Learning Approach
Conclusions: The stroke risk in AF patients treated with NOAC could be predicted based on comorbidities like ischemic heart diseases, urinary tract infections, and dementia additionally to age and male sex. Knowing and addressing these factors may help reduce the risk of stroke in this patient population.Neuroepidemiology
Source: Neuroepidemiology - July 21, 2021 Category: Epidemiology Source Type: research

Janssen Submits New Drug Application to U.S. FDA for XARELTO ® (rivaroxaban) to Help Prevent and Treat Blood Clots in Pediatric Patients
RARITAN, NJ, June 23, 2021 – The Janssen Pharmaceutical Companies of Johnson & Johnson announced today it has submitted a New Drug Application (NDA) to the U.S. Food and Drug Administration (FDA) for the use of XARELTO® (rivaroxaban) in pediatric patients. The NDA seeks two pediatric indications: treatment of venous thromboembolism (VTE, or blood clots) and reduction in the risk of recurrent VTE in patients aged birth to less than 18 years of age after at least five days of initial parenteral anticoagulant treatment; and thromboprophylaxis (prevention of blood clots) in patients aged 2 years and older with congenita...
Source: Johnson and Johnson - June 23, 2021 Category: Pharmaceuticals Tags: Innovation Source Type: news

Electronic Medical Record Risk Modeling of Cardiovascular Outcomes Among Patients with Type 2 Diabetes
ConclusionsThe Ochsner model overestimated 5-year CHD risk, but had relatively higher calibration than the other models in CHD. Risk equations fitted for local populations improved cardiovascular risk stratification for patients with T2DM. Application of machine learning simplified the models compared to “generalized” risk equations.
Source: Diabetes Therapy - June 18, 2021 Category: Endocrinology Source Type: research

COVID-19 Exposed the Faults in America ’s Elder Care System. This Is Our Best Shot to Fix Them
For the American public, one of the first signs of the COVID-19 pandemic to come was a tragedy at a nursing home near Seattle. On Feb. 29, 2020, officials from the U.S. Centers for Disease Control and Prevention (CDC) and Washington State announced the U.S. had its first outbreak of the novel coronavirus. Three people in the area had tested positive the day before; two of them were associated with Life Care Center of Kirkland, and officials expected more to follow soon. When asked what steps the nursing home could take to control the spread, Dr. Jeff Duchin, health officer for Seattle and King County, said he was working w...
Source: TIME: Health - June 15, 2021 Category: Consumer Health News Authors: Abigail Abrams Tags: Uncategorized Aging COVID-19 feature franchise Magazine TIME for Health Source Type: news

Development and validation of a nomogram for predicting stroke risk in rheumatoid arthritis patients
In conclusion, the nomogram can be used for individualized preoperative prediction of stroke risk in RA patients.PMID:34081620 | DOI:10.18632/aging.203071
Source: Aging - June 3, 2021 Category: Biomedical Science Authors: Fangran Xin Lingyu Fu Bowen Yang Haina Liu Tingting Wei Cunlu Zou Bingqing Bai Source Type: research

Factors associated with COVID-19 related hospitalisation, critical care admission and mortality using linked primary and secondary care data
CONCLUSIONS: We confirm that age, sex, ethnicity, obesity, CKD and diabetes are important determinants of risk of COVID-19 hospitalisation or death. For the first time, we also identify people with learning disabilities and multi-morbidity as additional patient cohorts that need to be actively protected during COVID-19 waves.PMID:33942510 | DOI:10.1111/irv.12864
Source: Respiratory Care - May 4, 2021 Category: Respiratory Medicine Authors: Lisa Cummins Irene Ebyarimpa Nathan Cheetham Victoria Tzortziou Brown Katie Brennan Jasmina Panovska-Griffiths Source Type: research

PNR Weekly Digest: April 6, 2021
Items regarding COVID-19 information are indicated with an * In the Dragonfly: Understanding End-of-Life Matters Whether your focus of concern is on a family member or yourself, this April the NNLM Reading Club suggests three books that may help with your understanding of end-of-life matters and those conversations you probably have been putting off…read the post to see the book selections Professional Development: NNLM CE Opportunities: NNLM offers training on a variety of topics related to health information. A complete listing of NNLM educational opportunities is available. Please note you need to create an NNLM accou...
Source: Dragonfly - April 6, 2021 Category: Databases & Libraries Authors: Carolyn Martin Tags: PNR Weekly Digest Source Type: news