Early prediction of prostate cancer risk in younger men using polygenic risk scores and electronic health records
Sign Up to like & getrecommendations! Published in 2022 at "Cancer Medicine"
DOI: 10.1002/cam4.4934
Abstract: Prostate cancer (PCa) screening is not routinely conducted in men aged 55 and younger, although this age group accounts for more than 10% of cases. Polygenic risk scores (PRSs) and patient data applied toward early… read more here.
Keywords: prostate cancer; risk scores; polygenic risk; risk ... See more keywords
Pulmonary artery dopplers for early prediction of risk for bronchopulmonary dysplasia in extremely low birth weight babies
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Clinical Ultrasound"
DOI: 10.1002/jcu.23161
Abstract: The early abnormal pulmonary vasoreactivity observed in babies at risk of Bronchopulmonary dysplasia (BPD) increases the pulmonary vascular resistance. This can be assessed non‐invasively using Time to Peak Velocity:Right Ventricular Ejection Time ratio (TPV:RVET) measured… read more here.
Keywords: birth weight; risk bronchopulmonary; birth; early prediction ... See more keywords
Contrast‐Enhanced Ultrasonography Value for Early Prediction of Delayed Graft Function in Renal Transplantation Patients
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Ultrasound in Medicine"
DOI: 10.1002/jum.16010
Abstract: Delayed graft function (DGF) is a common early complication after kidney transplantation. The aim of the present study was to evaluate the value of contrast‐enhanced ultrasonography (CEUS) in the early prediction of DGF after kidney… read more here.
Keywords: delayed graft; contrast enhanced; graft function; transplantation ... See more keywords
AI-Based Methods and Technologies to Develop Wearable Devices for Prosthetics and Predictions of Degenerative Diseases
Sign Up to like & getrecommendations! Published in 2021 at "Methods in molecular biology"
DOI: 10.1007/978-1-0716-0826-5_17
Abstract: Neurodegenerative diseases, mainly amyotrophic lateral sclerosis, Parkinson, Alzheimer, and rarer diseases, have gained the attention of healthcare service providers due to their impact on the economy of countries where healthcare is a public service. These… read more here.
Keywords: develop wearable; neurodegenerative diseases; methods technologies; based methods ... See more keywords
Early prediction model for coronary heart disease using genetic algorithms, hyper-parameter optimization and machine learning techniques
Sign Up to like & getrecommendations! Published in 2020 at "Health and Technology"
DOI: 10.1007/s12553-020-00508-4
Abstract: Coronary Heart Disease (CHD) is one of the major causes of morbidity and mortality worldwide. According to the World Health Organization (WHO) survey, Cardiac arrest accounts for more deaths annually than any other cause. But… read more here.
Keywords: heart; heart disease; prediction model; model ... See more keywords
DeepAISE - An interpretable and recurrent neural survival model for early prediction of sepsis
Sign Up to like & getrecommendations! Published in 2021 at "Artificial intelligence in medicine"
DOI: 10.1016/j.artmed.2021.102036
Abstract: Sepsis, a dysregulated immune system response to infection, is among the leading causes of morbidity, mortality, and cost overruns in the Intensive Care Unit (ICU). Early prediction of sepsis can improve situational awareness among clinicians… read more here.
Keywords: sepsis; early prediction; neural survival; recurrent neural ... See more keywords
Early prediction of ICU readmissions using classification algorithms
Sign Up to like & getrecommendations! Published in 2020 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2020.103636
Abstract: CONTEXT Determining which patients are ready for discharge from an Intensive Care Unit (ICU) presents a huge challenge, as ICU readmissions are associated with several negative outcomes such as increased mortality, length of stay, and… read more here.
Keywords: admission; icu; classification algorithms; icu readmissions ... See more keywords
Value of the combination of renal resistance index and central venous pressure in the early prediction of sepsis‐induced acute kidney injury
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Critical Care"
DOI: 10.1016/j.jcrc.2018.03.016
Abstract: Purpose: Early prediction of acute kidney injury (AKI) in septic patients is difficult. This study aimed to assess the values of renal resistive index (RI), central venous pressure (CVP), and their combination in the early… read more here.
Keywords: sepsis; combination; induced aki; sepsis induced ... See more keywords
A comparison of methods for early prediction of anaerobic biogas potential on biologically treated municipal solid waste.
Sign Up to like & getrecommendations! Published in 2019 at "Journal of environmental management"
DOI: 10.1016/j.jenvman.2018.11.137
Abstract: Anaerobic gas production tests, generically Biochemical Methane Potential (BMP) or Biogas Potential (BP) tests, are often used to assess biodegradability, though long duration limits their utility. This research investigated whether simple modelling approaches could provide… read more here.
Keywords: biogas potential; production; municipal solid; prediction ... See more keywords
Hierarchically Distributed Monitoring for the Early Prediction of Gas Flare Events
Sign Up to like & getrecommendations! Published in 2019 at "Industrial & Engineering Chemistry Research"
DOI: 10.1021/acs.iecr.8b06186
Abstract: Flare events in industrial processes are undesirable because of their negative economic and environmental impacts. Early warnings of flare events are needed in preventing occurrences of flaring, as... read more here.
Keywords: distributed monitoring; flare events; early prediction; hierarchically distributed ... See more keywords
A Metabolomics Approach for Early Prediction of Vincristine-Induced Peripheral Neuropathy
Sign Up to like & getrecommendations! Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-66815-y
Abstract: Vincristine is a core chemotherapeutic drug administered to pediatric acute lymphoblastic leukemia patients. Despite its efficacy in treating leukemia, it can lead to severe peripheral neuropathy in a subgroup of the patients. Peripheral neuropathy is… read more here.
Keywords: approach early; metabolomics approach; peripheral neuropathy; vincristine ... See more keywords