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Total 268 results found since Jan 2013.

Modeling of diagnosis for metabolic syndrome by integrating symptoms into physiochemical indexes
CONCLUSION: Compared with SVM and DT models, the RF model showed the best performance, especially when the ratio of the training set to test set is 8:2. Compared with single predictive indexes, the model constructed by combining physiochemical indexes with TCM indexes (i.e. the fused indexes) exhibited better predictive ability. In addition to common physicochemical indexes, some TCM indexes, such as wiry pulse, chest tightness, spontaneous perspiration, greasy tongue coating, can also improve diagnosis of MS.PMID:33588265 | DOI:10.1016/j.biopha.2021.111367
Source: Biomedicine and pharmacotherapy = Biomedecine and pharmacotherapie - February 15, 2021 Category: Drugs & Pharmacology Authors: Shu-Jie Xia Bi-Zhen Gao Shui-Hua Wang David S Guttery Can-Dong Li Yu-Dong Zhang Source Type: research

Hybrid artificial fish particle swarm optimizer and kernel extreme learning machine for type-II diabetes predictive model
AbstractThe World Health Organization(WHO) estimated that in 2016, 1.6 million deaths caused were due to diabetes. Precise and on-time diagnosis of type-II diabetes is crucial to reduce the risk of various diseases such as heart disease, stroke, kidney disease, diabetic retinopathy, diabetic neuropathy, and macrovascular problems. The non-invasive methods like machine learning are reliable and efficient in classifying the people subjected to type-II diabetics risk and healthy people into two different categories. This present study aims to develop a stacking-based integrated kernel extreme learning machine (KELM) model for...
Source: Medical and Biological Engineering and Computing - March 18, 2021 Category: Biomedical Engineering 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

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

Sensors, Vol. 21, Pages 5302: Automatic Detection of Short-Term Atrial Fibrillation Segments Based on Frequency Slice Wavelet Transform and Machine Learning Techniques
uang Zhou Atrial fibrillation (AF) is the most frequently encountered cardiac arrhythmia and is often associated with other cardiovascular and cerebrovascular diseases, such as ischemic heart disease, chronic heart failure, and stroke. Automatic detection of AF by analyzing electrocardiogram (ECG) signals has an important application value. Using the contaminated and actual ECG signals, it is not enough to only analyze the atrial activity of disappeared P wave and appeared F wave in the TQ segment. Moreover, the best analysis method is to combine nonlinear features analyzing ventricular activity based on the detection ...
Source: Sensors - August 5, 2021 Category: Biotechnology Authors: Yaru Yue Chengdong Chen Pengkun Liu Ying Xing Xiaoguang Zhou Tags: Article Source Type: research

Striving to Deliver Better Outcomes: Janssen to Showcase Commitment to Advancing Science for Genitourinary Cancers at AUA 2021
August 31, 2021 (RARITAN, N.J.) – The Janssen Pharmaceutical Companies of Johnson & Johnson announced today multiple company-sponsored presentations in prostate and bladder cancers will be highlighted at the virtual 2021 American Urological Association Annual Meeting (AUA 2021), September 10-13. “Janssen maintains a strong commitment to advancing innovation and new therapeutic options for patients with genitourinary malignancies. As the treatment of genitourinary cancers becomes more complex, we continue to work with urologists and their teams to improve outcomes for patients across the continuum of disease,” sai...
Source: Johnson and Johnson - August 31, 2021 Category: Pharmaceuticals Tags: Our Company Source Type: news

Janssen Demonstrates Commitment to Advancing Science and Innovation in the Treatment of Solid Tumors at ESMO Annual Congress
September 8, 2021 (RARITAN, N.J.) – The Janssen Pharmaceutical Companies of Johnson & Johnson announced today that more than ten data presentations from its lung cancer, bladder cancer and prostate cancer portfolio and pipeline will be featured during the European Society for Medical Oncology (ESMO) Annual Congress 2021 virtual meeting, September 16–21. Further details about these data and the science Janssen is advancing will be made available throughout ESMO via the Janssen Oncology Virtual Newsroom.“With a diverse oncology portfolio and pipeline spanning bladder cancer, lung cancer and prostate cancer, Janssen...
Source: Johnson and Johnson - September 8, 2021 Category: Pharmaceuticals Tags: Innovation Source Type: news

ERLEADA ® (apalutamide) Oral Presentations Demonstrate Importance of Prostate Specific Antigen (PSA) as Key Efficacy Indicator and Show Strong Patient Adherence Rates
September 11, 2021 (RARITAN, N.J.) – The Janssen Pharmaceutical Companies of Johnson & Johnson today announced new data demonstrating robust prostate-specific antigen (PSA) response and strong adherence rates in patients with non-metastatic castration-resistant prostate cancer (nmCRPC) treated with ERLEADA® (apalutamide) in the real-world clinical setting. The strong PSA response was also seen in a separate post-hoc analysis that showed a correlation between rapid and deep PSA response and prolonged survival in both metastatic castration-sensitive prostate cancer (mCSPC) and nmCRPC. The post-hoc analysis also suppor...
Source: Johnson and Johnson - September 12, 2021 Category: Pharmaceuticals Source Type: news

Bringing WISDOM to Breast Cancer Care
Dr. Laura Esserman answers the door of her bright yellow Victorian home in San Francisco’s Ashbury neighborhood with a phone at her ear. She’s wrapping up one of several meetings that day with her research team at University of California, San Francisco, where she heads the Carol Franc Buck Breast Care Center. She motions me in and reseats herself at a makeshift home office desk in her living room, sandwiched between a grand piano and set of enormous windows overlooking her front yard’s flower garden. It’s her remote base of operations when she’s not seeing patients or operating at the hospita...
Source: TIME: Health - October 22, 2021 Category: Consumer Health News Authors: Alice Park Tags: Uncategorized Source Type: news

Interventions in outside-school hours childcare settings for promoting physical activity amongst schoolchildren aged 4 to 12 years
CONCLUSIONS: Although the review included nine trials, the evidence for how to increase children's physical activity in outside-school hours care settings remains limited, both in terms of certainty of evidence and magnitude of the effect. Of the types of interventions identified, when assessed using GRADE there was low-certainty evidence that multi-component interventions, with a specific physical activity goal may have a small increase in daily moderate-to-vigorous physical activity and a slight reduction in BMI. There was very low-certainty evidence that interventions increase cardiovascular fitness. By contrast there w...
Source: Cochrane Database of Systematic Reviews - October 25, 2021 Category: General Medicine Authors: Rosa Virgara Anna Phillips Lucy K Lewis Katherine Baldock Luke Wolfenden Ty Ferguson Mandy Richardson Anthony Okely Michael Beets Carol Maher Source Type: research

Cardiovascular risk prediction in healthy older people
AbstractIdentification of individuals with increased risk of major adverse cardiovascular events (MACE) is important. However, algorithms specific to the elderly are lacking. Data were analysed from a randomised trial involving 18,548 participants ≥ 70 years old (mean age 75.4 years), without prior cardiovascular disease events, dementia or physical disability. MACE included coronary heart disease death, fatal or nonfatal ischaemic stroke or myocardial infarction. Potential predictors tested were based on prior evidence and using a m achine-learning approach. Cox regression analyses were used to calculate 5-year p...
Source: AGE - November 11, 2021 Category: Geriatrics Source Type: research

Tetralogy of Fallot in the nascent open-heart surgical era in a tertiary hospital in south-west Nigeria: lessons learnt
CONCLUSIONS: TOF is associated with significant morbidity and mortality in developing countries. Early and safe corrective surgery is desirable.PMID:34851355 | DOI:10.5830/CVJA-2021-048
Source: Cardiovascular Journal of Africa - December 1, 2021 Category: Cardiology Authors: Olukemi T Bamigboye-Taiwo Babajide Adeyefa Uvie U Onakpoya Olugbenga O Ojo Joel O Eyekpegha Abayomi Oguns John A Okeniyi Source Type: research

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