Abstract Purpose of Review One in five people will develop heart failure (HF), and 50% HF patients die 5 years. The diagnosis, readmission, mortality prediction are essential to personalized prevention treatment plans. This review summarizes recent findings approaches machine learning models for diagnostic outcome using electronic health record (EHR) data. Recent Findings A set have been developed diverse variables derived from EHR data, including demographic, medical note, laboratory, image...

Liver cirrhosis is a leading cause of death and effects millions people in the United States. Early mortality prediction among patients with might give healthcare providers more opportunity to effectively treat condition. We hypothesized that laboratory test results other related diagnoses would be associated this population. Our another assumption was deep learning model could outperform current Model for End Stage disease (MELD) score predicting mortality.We utilized electronic health...

Abstract Background Cardiovascular disease (CVD) is the leading cause of death in United States (US). Better cardiovascular health (CVH) associated with CVD prevention. Predicting future CVH levels may help providers better manage patients’ CVH. We hypothesized that measures can be predicted based on previous measurements from longitudinal electronic record (EHR) data. Methods The Guideline Advantage (TGA) dataset was used and contained EHR data 70 outpatient clinics across studied...

Objective: Although many clinical metrics are associated with proximity to decompensation in heart failure (HF), none individually accurate enough risk-stratify HF patients on a patient-by-patient basis. The dire consequences of this inaccuracy risk stratification have profoundly lowered the threshold for application high-risk surgical intervention, such as ventricular assist device placement. Machine learning can detect non-intuitive classifier patterns that allow innovative combination...

Liver injury occurs frequently during sepsis, which leads to high mortality and morbidity. A previous study has suggested that salvianolic acid B (SalB) is protective against sepsis‑induced lung injury. However, whether SalB able protect liver remains unclear. The present aimed investigate the effects of on its potential underlying mechanisms. Sepsis was induced in mice using a cecal ligation puncture (CLP) method. were treated with (30 mg/kg intraperitoneally) at 0.5, 2 8 h after CLP...

Background Computationally derived (“synthetic”) data can enable the creation and analysis of clinical, laboratory, diagnostic as if they were original electronic health record data. Synthetic support sharing to answer critical research questions address COVID-19 pandemic. Objective We aim compare results from analyses synthetic those assess strengths limitations leveraging computationally for purposes. Methods used National COVID Cohort Collaborative’s instance MDClone, a big platform with...

Background: The coronavirus disease 2019 (COVID-19) pandemic has challenged the accuracy and racial biases present in traditional mortality scores. An accurate prognostic model that can be applied to hospitalized patients irrespective of race or COVID-19 status may benefit patient care. Research Design: This cohort study utilized historical ongoing electronic health record features develop validate a deep-learning on second day admission predicting composite outcome in-hospital mortality,...

PURPOSE Increasing utilization of comprehensive genomic profiling (CGP) and a growing number targeted agents (TAs) have led to substantial improvements in outcomes among patients with cancer actionable mutations. We sought evaluate real-world experience off-label TAs Veterans who underwent CGP. METHODS The National Precision Oncology Program database VA Corporate Data Warehouse were queried identify CGP between February 2019 December 2021 prescribed 1 73 for malignancy. OncoKB annotations...

Background Cardiac dysrhythmias (CD) affect millions of Americans in the United States (US), and are associated with considerable morbidity mortality. New strategies to combat this growing problem urgently needed. Objectives Predicting CD using electronic health record (EHR) data would allow for earlier diagnosis treatment condition, thus improving overall cardiovascular outcomes. The Guideline Advantage (TGA) is an American Heart Association ambulatory quality clinical registry EHR...

Abstract Background Coronary heart disease (CHD) is a leading cause of morbidity and mortality for breast cancer survivors, yet the joint effect adverse cardiovascular health (CVH) cardiotoxic treatments on post-treatment CHD death has not been quantified. Methods We conducted statistical machine learning approaches to evaluate 10-year risk these outcomes among 1934 women diagnosed with during 2006 2007. Overall CVH scores were classified as poor, intermediate, or ideal 5 factors, smoking,...

Li4SiO4 has been evaluated as one of the most promising CO2 absorbers to mitigate climate changes caused by excessive emissions. absorbents with a high specific surface area would hold higher capture capacity. However, lack suitable SiO2 precursors, synthesis and well-defined hollow sphere structure was still challenging. Here, two-stream confined jet impingement continuous microchannel reactor proposed produce ultrahigh-quality mesoporous silica nanospheres (UHMSNs) an ultrahigh small...

In order to resolve the problem of orientation on longan (or lychee)-harvesting robot, an experimentation camera calibration based binocular parallax theory was given. Logical foci and baseline between cameras were obtained by taking photos character dots located board, dealing with analyzing experimental data. After that, source errors existing in experiment system analyzed, corresponding methods compensation also discussed paper. Analysis results show that method total visual correction...

626 Background: Tamoxifen has been prescribed for the past 25 years, but extent to which women are AIs in community settings and as frontline or extended therapy remains unknown. We examined effectiveness of reducing subsequent breast cancer (BCa) among survivors who were treated with Tam, AIs, both using data from an HMO that serves 3+ million Southern California residents. Methods: The cohort included 24,066 (stage 0 IV) diagnosed 1996 2006, followed through 12/31/2008 until BCa...

Background Cancer is the second leading cause of death in United States. screenings can detect precancerous cells and allow for earlier diagnosis treatment. Our purpose was to better understand risk factors cancer assess effect on changes Cardiovascular health (CVH) measures before after among patients. Methods We used The Guideline Advantage (TGA)—American Heart Association ambulatory quality clinical data registry electronic record (n = 362,533 patients) investigate associations between...

Location and behavior decision-making of intelligent actor in complex virtual environment is a difficult uncertain problem, aiming to the problem process picking manipulator location environment, actor's definition its behaviors modeling based on exploratory analysis was firstly proposed article. A sextuple function for describing behaviors, behavioral events, thinking manner, communication mechanism were also discussed text. Finally, taking manipulator's as instance, mechanical character...