61,920 results match your criteria decision model

Bicentric validation of the navigated transcranial magnetic stimulation motor risk stratification model.

J Neurosurg 2021 Sep 17:1-13. Epub 2021 Sep 17.

1Department of Neurosurgery, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin.

Objective: The authors sought to validate the navigated transcranial magnetic stimulation (nTMS)-based risk stratification model. The postoperative motor outcome in glioma surgery may be preoperatively predicted based on data derived by nTMS. The tumor-to-tract distance (TTD) and the interhemispheric resting motor threshold (RMT) ratio (as a surrogate parameter for cortical excitability) emerged as major factors related to a new postoperative deficit. Read More

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September 2021

A diagnostic tree for differentiation of adult pilocytic astrocytomas from high-grade gliomas.

Eur J Radiol 2021 Sep 8;143:109946. Epub 2021 Sep 8.

Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Republic of Korea.

Background: To develop a diagnostic tree analysis (DTA) model based on demographical information and conventional MRI for differential diagnosis of adult pilocytic astrocytomas (PAs) and high-grade gliomas (HGGs; World Health Organization grade III-IV).

Methods: A total of 357 adult patients with pathologically confirmed PA (n = 65) and HGGs (n = 292) who underwent conventional MRI were included. The patients were randomly divided into training (n = 250) and validation (n = 107) datasets to assess the diagnostic performance of the DTA model. Read More

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September 2021

Opening the black box: the promise and limitations of explainable machine learning in cardiology.

Can J Cardiol 2021 Sep 14. Epub 2021 Sep 14.

Centre for Data Science and Digital Health, Hamilton Health Sciences; Department of Statistical Sciences, University of Toronto.

Many clinicians remain wary of machine learning due to long-standing concerns about "black box" models. "Black box" is shorthand for models that are sufficiently complex that they are not straightforwardly interpretable to humans. Lack of interpretability in predictive models can undermine trust in those models, especially in health care where so many decisions are literally life and death. Read More

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September 2021

Adaptation supports short-term memory in a visual change detection task.

PLoS Comput Biol 2021 Sep 17;17(9):e1009246. Epub 2021 Sep 17.

Allen Institute for Brain Science, Seattle, Washington, United States of America.

The maintenance of short-term memories is critical for survival in a dynamically changing world. Previous studies suggest that this memory can be stored in the form of persistent neural activity or using a synaptic mechanism, such as with short-term plasticity. Here, we compare the predictions of these two mechanisms to neural and behavioral measurements in a visual change detection task. Read More

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September 2021

Innovation Amid Pandemic: Construction of a COVID-19 Intensive Care Unit Surge Care Delivery Model.

J Nurses Prof Dev 2021 Sep 16. Epub 2021 Sep 16.

Latrina T. Geyer, PhD, MSN, RN, NPD-BC, NEA-BC, is Director of Nursing Leadership and Development, Emory Healthcare, Atlanta, Georgia. Stephanie G. Bennett, PhD, MBA, RN, is Director of Patient and Family Centered Care and Patient Education, Emory Healthcare, Atlanta, Georgia. W. Jason Atkins, MBI, RN-BC, is Chief Nursing Information and Quality Officer, Emory Healthcare, Atlanta, Georgia. Marianne Baird, MN, RN, ACNS-BC, is Magnet Program Director, Emory Decatur Hospital and Emory Hillandale Hospital, Atlanta, Georgia. Ryan Bannan, BSN, RN, CCRN, is Critical Care Registered Nurse, Atlanta, Georgia. Tim Cunningham, DrPH, RN, FAAN, is Vice President of Practice and Innovation, Emory Healthcare, Atlanta, Georgia. Mardi J. Davis, MSN, APRN, ACCNS-AG, CCRN, is Clinical Nurse Specialist, Critical Care, Emory Saint Joseph's Hospital, Atlanta, Georgia. Mary Zellinger, APRN-CCNS, MN, ANP-BC, CCRN-CSC, FCCM, FAAN, is Clinical Nurse Specialist, Cardiovascular Critical Care, Emory University Hospital, Atlanta, Georgia.

This article details a shared leadership structure and decision-making processes used to construct an innovative and evidence-based care delivery model for safety and optimal outcomes in the intensive care unit during the novel coronavirus (COVID-19) pandemic. Insights into ways professional development practitioners can facilitate changes in care delivery models, support nurses in their professional roles, and contribute to improved patient care outcomes during the COVID-19 pandemic are provided. Read More

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September 2021

Rectified Linear Postsynaptic Potential Function for Backpropagation in Deep Spiking Neural Networks.

IEEE Trans Neural Netw Learn Syst 2021 Sep 17;PP. Epub 2021 Sep 17.

Spiking neural networks (SNNs) use spatiotemporal spike patterns to represent and transmit information, which are not only biologically realistic but also suitable for ultralow-power event-driven neuromorphic implementation. Just like other deep learning techniques, deep SNNs (DeepSNNs) benefit from the deep architecture. However, the training of DeepSNNs is not straightforward because the well-studied error backpropagation (BP) algorithm is not directly applicable. Read More

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September 2021

Using latent class and quantum models to value equity in health care: a tale of 2 stories.

J Manag Care Spec Pharm 2021 Sep;27(9-a Suppl):S14-S18

Department of Health Outcomes Research & Policy, Harrison School of Pharmacy, Auburn University, Auburn, AL.

Cost-effectiveness analysis (CEA) with quality-adjusted life-year (QALY) was introduced to address health equity concerns in value assessment. However, QALY fails to capture patient preference. Stated preference methods (eg, discrete choice experiment [DCE]) have been increasingly used to incorporate patient preference into the value assessment framework in health care. Read More

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September 2021

Optimizing nurses' enacted scope of practice to it's full potential as an integrated strategy for the continuous improvement of clinical performance: A multicenter descriptive analysis.

J Nurs Manag 2021 Sep 16. Epub 2021 Sep 16.

Faculty of Medicine, Ingram School of Nursing, McGill University.

Aim: This study aims at better understanding the relationships between nurses' enacted scope of practice, work environment and work satisfaction, missed care, and organizational indicators of performance.

Background: The Enacted Scope of Practice model describes the determinants and consequences of the actual enactment of the nursing scope of practice.

Method: A correlational design was used to investigate nurses' enacted scope of practice in five Canadian healthcare centers. Read More

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September 2021

Experiences of informal caregivers of people with dementia with nursing care in acute hospitals: A descriptive mixed-methods study.

J Adv Nurs 2021 Sep 17. Epub 2021 Sep 17.

NHL Stenden University of Applied Science, Leeuwarden, The Netherlands.

Aims: To explore the experiences of informal caregivers of people with dementia with the hospitalization of their relative concerning patient care, interactions with nurses, caregivers' situation and the acute hospital environment.

Design: Mixed-methods design.

Methods: The data were collected using an online questionnaire among a panel of caregivers (n = 129), together with a focus group and individual interviews from February to November 2019. Read More

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September 2021

Cost Effectiveness of Durvalumab in Unresectable Stage III NSCLC: 4-Year Survival Update and Model Validation from a UK Healthcare Perspective.

Pharmacoecon Open 2021 Sep 16. Epub 2021 Sep 16.

Northern Centre for Cancer Care, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK.

Background: In the phase III PACIFIC study, durvalumab improved survival versus placebo in patients with unresectable stage III non-small-cell lung cancer (NSCLC) whose disease had not progressed after platinum-based concurrent chemoradiotherapy. The appraisal by the UK's National Institute for Health and Care Excellence (NICE) included a cost-effectiveness analysis based on an early data readout from PACIFIC [March 2018 data cut-off (DCO); median follow-up duration 25.2 months; range 0. Read More

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September 2021

Sugarcane valorization: selection of process routes based on sustainability index.

Environ Sci Pollut Res Int 2021 Sep 16. Epub 2021 Sep 16.

Department of Chemical Engineering, Visvesvaraya National Institute of Technology, (VNIT), Nagpur, 440010, India.

Increasing awareness about sustainability has compelled the recent researchers to explore different methods for evaluation. Conventionally the sustainability of a process was majorly dependent on the economics feasibility. Recently need of incorporation of environmental and social concerns in overall sustainability assessment has been realized. Read More

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September 2021

Twenty-first century hydrologic and climatic changes over the scarcely gauged Jhelum river basin of Himalayan region using SDSM and RCPs.

Environ Sci Pollut Res Int 2021 Sep 16. Epub 2021 Sep 16.

Institute of Geo-Information & Earth Observation, Pir Mehr Ali Shah Arid Agriculture University, Rawalpindi, Pakistan.

Climatic and hydrological changes of the scarcely gauged mountainous basins remain a challenge to study due to unavailability of observed data. The recent study aims to assess these changes using spatial decision tool statistical downscaling method (SDSM) and snowmelt runoff model (SRM) for the twenty-first century under representative concentration pathways (RCPs). SDSM considered absolute partial correlation coefficient (abs. Read More

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September 2021

Assessment and Clinical Decision-Making During Imminent Death in Hospice Music Therapy.

J Music Ther 2021 Sep 17. Epub 2021 Sep 17.

Duquesne University, Pittsburgh, PA, USA.

Assessment is a critical aspect of treatment planning, and while there exist standards for facilitating music therapy assessments in a variety of clinical settings, no such standards exist for music therapists in hospice and palliative care. This gap in knowledge, which limits music therapists' ability to provide patients and caregivers best practices promoting supported movement through the dying process, becomes particularly problematic when assessing patients who are imminently dying with a 24-72 hour prognosis. To further develop and define assessment and clinical decision-making processes used by music therapists in hospice and palliative care, the authors used a constructivist grounded theory and situational analysis methodology to analyze interviews of 15 hospice music therapists. Read More

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September 2021

Identification and validation of a metabolism-related model and associated with tumor-infiltrating lymphocytes in p53 mutant lung adenocarcinoma patients.

Ann Transl Med 2021 Aug;9(16):1312

Department of Nursing, First Affiliated Hospital of China Medical University, Shenyang, China.

Background: The immunosuppressive tumor microenvironment produced by cancer cells is a key mechanisms of cancer immune escape. In this study, we investigated the relationship between the metabolic patterns and tumor immune environment in the TME of lung adenocarcinoma (LUAD) with the p53 mutation.

Methods: The clinical data of 495 LUAD patients was obtained from The Cancer Genome Atlas as transcriptomic and somatic mutation data. Read More

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Development and validation of Auto-Neo-electroencephalography (EEG) to estimate brain age and predict report conclusion for electroencephalography monitoring data in neonatal intensive care units.

Ann Transl Med 2021 Aug;9(16):1290

Center for Molecular Medicine, Pediatric Research Institute, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.

Background: Electroencephalography (EEG) monitoring is widely used in neonatal intensive care units (NICUs). However, conventional EEG report generation processes are time-consuming and labor-intensive. Therefore, an automatic, objective, and comprehensive pipeline for brain age estimation and EEG report conclusion prediction is urgently needed to assist clinician's decision-making. Read More

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Nomograms-based prediction of overall and cancer-specific survivals for patients diagnosed with major salivary gland carcinoma.

Ann Transl Med 2021 Aug;9(15):1230

Department of Oromaxillofacial-Head & Neck Oncology, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of Stomatology, Shanghai, China.

Background: Major salivary glands carcinoma (MSGC) is a relatively rare cancer with diverse histological types and biological behavior. The treatment planning and prognosis prediction are challenging for clinicians. The aim of the current study was to establish a reliable and effective nomogram to predict the overall survival (OS) and cancer-specific survival (CSS) for MSGC patients. Read More

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A Radiomics Signature-Based Nomogram to Predict the Progression-Free Survival of Patients With Hepatocellular Carcinoma After Transcatheter Arterial Chemoembolization Plus Radiofrequency Ablation.

Front Mol Biosci 2021 31;8:662366. Epub 2021 Aug 31.

Key Laboratory of Imaging Diagnosis and Minimally Invasive Intervention, Fifth Affiliated Hospital, Wenzhou Medical University, Lishui, China.

The study aims to establish an magnetic resonance imaging radiomics signature-based nomogram for predicting the progression-free survival of intermediate and advanced hepatocellular carcinoma (HCC) patients treated with transcatheter arterial chemoembolization (TACE) plus radiofrequency ablation A total of 113 intermediate and advanced HCC patients treated with TACE and RFA were eligible for this study. Patients were classified into a training cohort ( = 78 cases) and a validation cohort ( = 35 cases). Radiomics features were extracted from contrast-enhanced T1W images by analysis kit software. Read More

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The Development and Validation of a CT-Based Radiomics Nomogram to Preoperatively Predict Lymph Node Metastasis in High-Grade Serous Ovarian Cancer.

Front Oncol 2021 31;11:711648. Epub 2021 Aug 31.

Department of Radiology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China.

Purpose: To develop and validate a radiomics model for predicting preoperative lymph node (LN) metastasis in high-grade serous ovarian cancer (HGSOC).

Materials And Methods: From May 2008 to January 2018, a total of 256 eligible HGSOC patients who underwent tumor resection and LN dissection were divided into a training cohort (n=179) and a test cohort (n=77) in a 7:3 ratio. A Radiomics Model was developed based on a training cohort of 179 patients. Read More

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Cost-effectiveness of malaria elimination in Sampov Loun Operational District, Cambodia.

Malariaworld J 2020 1;11. Epub 2020 Apr 1.

University Research Co., LLC (URC), Chevy Chase, MD, USA.

Background: Over the past decade, Cambodia has seen a significant decline in its malaria burden. The government has established the goal of eliminating malaria in the country by 2025. With PMI/USAID support, Cambodia is implementing a package of interventions as part of its efforts. Read More

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ECG Signal Classification Based on Fusion of Hybrid CNN and Wavelet Features by D-S Evidence Theory.

J Healthc Eng 2021 7;2021:4222881. Epub 2021 Sep 7.

College of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao 266590, China.

At present, cardiovascular disease is regarded as one of the dangerous diseases that threaten human life. The morbidity and lethality caused by cardiovascular disease are constantly increasing every year. In this paper, we propose a two-stream style operation to handle the electrocardiogram (ECG) classification: one for time-domain features and another for frequency-domain features. Read More

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September 2021

Study of TCM Syndrome Identification Modes for Patients with Type 2 Diabetes Mellitus Based on Data Mining.

Evid Based Complement Alternat Med 2021 6;2021:5528550. Epub 2021 Sep 6.

School of Health Science and Engineering, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China.

Objective: To establish the diagnosis model for syndromes of type 2 diabetes mellitus (T2-DM) and explore symptoms, the pulse and tongue signs, and laboratory indexes related to syndromes of T2-DM.

Methods: A syndromatologic and laboratory investigation was conducted in 554 T2-DM patients with 58 symptoms, 14 tongue signs, 6 pulse signs, and 12 laboratory indexes. The clinical data on the syndrome were collected and analyzed by using logistic regression analysis, decision tree, and -nearest neighbor to establish a diagnostic model for effectively distinguishing the typical syndromes in T2-DM patients. Read More

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September 2021

Construction of a Novel Gene-Based Model for Survival Prediction of Hepatitis B Virus Carriers With HCC Development.

Front Genet 2021 31;12:720888. Epub 2021 Aug 31.

Department of Biochemistry and Molecular Biology, School of Bioscience and Technology, Chengdu Medical College, Chengdu, China.

Despite the effectiveness of hepatitis B virus (HBV) vaccination in reducing the prevalence of chronic HBV infection as well as the incidence of acute hepatitis B, fulminant hepatitis, liver cirrhosis and hepatocellular carcinoma (HCC), there was still a large crowd of chronically infected populations at risk of developing cirrhosis or HCC. In this study, we established a comprehensive prognostic system covering multiple signatures to elevate the predictive accuracy for overall survival (OS) of hepatitis B virus carriers with HCC development. Weighted Gene Co-Expression Network Analysis (WGCNA), Least Absolute Shrinkage and Selection Operator (LASSO), Support Vector Machine Recursive Feature Elimination (SVM-RFE), and multivariate COX analysis, along with a suite of other online analyses were successfully applied to filtrate a three-gene signature model (, , and ). Read More

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Early outcome detection for COVID-19 patients.

Sci Rep 2021 Sep 16;11(1):18464. Epub 2021 Sep 16.

Department of Computer Science, University of Pisa, Pisa, Italy.

With the outbreak of COVID-19 exerting a strong pressure on hospitals and health facilities, clinical decision support systems based on predictive models can help to effectively improve the management of the pandemic. We present a method for predicting mortality for COVID-19 patients. Starting from a large number of clinical variables, we select six of them with largest predictive power, using a feature selection method based on genetic algorithms and starting from a set of COVID-19 patients from the first wave. Read More

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September 2021

COVID outcome prediction in the emergency department (COPE): using retrospective Dutch hospital data to develop simple and valid models for predicting mortality and need for intensive care unit admission in patients who present at the emergency department with suspected COVID-19.

BMJ Open 2021 Sep 16;11(9):e051468. Epub 2021 Sep 16.

Department of Public Health, Erasmus MC, Rotterdam, The Netherlands.

Objectives: Develop simple and valid models for predicting mortality and need for intensive care unit (ICU) admission in patients who present at the emergency department (ED) with suspected COVID-19.

Design: Retrospective.

Setting: Secondary care in four large Dutch hospitals. Read More

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September 2021

External Validation of the SYNTAX Score II 2020.

J Am Coll Cardiol 2021 Sep;78(12):1227-1238

Department of Cardiology, National University of Ireland, Galway (NUIG), Galway, Ireland; NHLI, Imperial College London, London, United Kingdom. Electronic address:

Background: The SYNTAX score II 2020 (SSII-2020) was derived from cross correlation and externally validated in randomized trials to predict death and major adverse cardiac and cerebrovascular events (MACE) following percutaneous coronary intervention (PCI) and coronary artery bypass grafting (CABG) in patients with 3-vessel disease (3VD) and/or left main coronary artery disease (LMCAD).

Objectives: The authors aimed to investigate the SSII-2020's value in identifying the safest modality of revascularization in a non-randomized setting.

Methods: Five-year mortality and MACE were assessed in 7,362 patients with 3VD and/or LMCAD enrolled in a Japanese PCI/CABG registry. Read More

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September 2021

Dengue models based on machine learning techniques: A systematic literature review.

Artif Intell Med 2021 Sep 24;119:102157. Epub 2021 Aug 24.

Grupo de Investigación en I+D+i en TIC, Universidad EAFIT, Medellín, Colombia.

Background: Dengue modeling is a research topic that has increased in recent years. Early prediction and decision-making are key factors to control dengue. This Systematic Literature Review (SLR) analyzes three modeling approaches of dengue: diagnostic, epidemic, intervention. Read More

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September 2021

Measuring COVID-19 vaccination coverage: an enhanced age-adjusted two-step floating catchment area model.

Infect Dis Poverty 2021 Sep 16;10(1):118. Epub 2021 Sep 16.

Department of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.

Background: There are only limited studies on access to COVID-19 vaccines and identifying the most appropriate health centres for performing vaccination in metropolitan areas. This study aimed to measure potential spatial access to COVID-19 vaccination centres in Mashhad, the second-most populous city in Iran.

Methods: The 2021 age structure of the urban census tracts was integrated into the enhanced two-step floating catchment area model to improve accuracy. Read More

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September 2021

Employing a mobile health decision aid to improve decision-making for patients with advanced prostate cancer and their decision partners/proxies: the CHAMPION randomized controlled trial study design.

Trials 2021 Sep 16;22(1):631. Epub 2021 Sep 16.

University of Virginia School of Nursing, 202 Jeanette Lancaster Way, PO Box 800782, Charlottesville, VA, 22908, USA.

Background: Metastatic prostate cancer remains a lethal malignancy that warrants novel supportive interventions for patients and their decision partners and proxies. Decision aids have been applied primarily to patients with localized disease, with minimal inclusion of patients with advanced prostate cancer and their decision partners. The use of a community patient navigator (CPN) has been shown to have a positive supportive role in health care, particularly with individuals from minority populations. Read More

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September 2021

Vaccine hesitancy: evidence from an adverse events following immunization database, and the role of cognitive biases.

BMC Public Health 2021 Sep 16;21(1):1686. Epub 2021 Sep 16.

Centre for Outcomes Research and Evaluation, McGill University, 5252 De Maisonneuve Blvd, Montreal, Quebec, H4A 3S5, Canada.

Background: Vaccine hesitancy has been a growing challenge for public health in recent decades. Among factors contributing to vaccine hesitancy, concerns regarding vaccine safety and Adverse Events (AEs) play the leading role. Moreover, cognitive biases are critical in connecting such concerns to vaccine hesitancy behaviors, but their role has not been comprehensively studied. Read More

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September 2021

Factors predicting failure of internal fixations of fractures of the lower limbs: a prospective cohort study.

BMC Musculoskelet Disord 2021 Sep 16;22(1):798. Epub 2021 Sep 16.

Institute for Research in Operative Medicine, Witten/Herdecke University, Ostmerheimer Str. 200, Building 38, NRW, 51109, Cologne, Germany.

Background: We assessed predictive factors of patients with fractures of the lower extremities caused by trauma. We examined which factors are associated with an increased risk of failure. Furthermore, the predictive factors were set into context with other long-term outcomes, concrete pain and physical functioning. Read More

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September 2021