A preliminary Bayesian network model to identify factors associated with treatment outcome in T2 and T3 laryngeal carcinoma.
Sign Up to like & getrecommendations! Published in 2019 at "Oral oncology"
DOI: 10.1016/j.oraloncology.2019.09.007
Abstract: The outcome of early stage (T1-2) laryngeal squamous cell carcinoma (LSCC) is generally good. However, the case of T2 LSCC specifically, is exceptional. Despite it being an early stage tumor by definition, some studies have… read more here.
Keywords: carcinoma; bayesian network; model identify; preliminary bayesian ... See more keywords
Using Deep Learning Model to Identify Iron Chlorosis in Plants
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DOI: 10.1109/access.2023.3273607
Abstract: Iron deficiency in plants causes iron chlorosis which frequently occurs in soils that are alkaline (pH greater than 7.0) and that contain lime. This deficiency turns affected plant leaves to yellow, or with brown edges… read more here.
Keywords: learning model; model identify; deep learning; model ... See more keywords
Predictive model to identify the risk of losing protective sensibility of the foot in patients with diabetes mellitus
Sign Up to like & getrecommendations! Published in 2019 at "International Wound Journal"
DOI: 10.1111/iwj.13263
Abstract: Diabetic neuropathy is defined as the presence of symptoms and signs of peripheral nerve dysfunction in diabetics. The aim of this study is to develop a predictive logistic model to identify the risk of losing… read more here.
Keywords: predictive model; model identify; model; identify risk ... See more keywords
Identification of Cardiac Patients Based on the Medical Conditions Using Machine Learning Models
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/5882144
Abstract: Chronic diseases are the most severe health concern today, and heart disease is one of them. Coronary artery disease (CAD) affects blood flow to the heart, and it is the most common type of heart… read more here.
Keywords: disease; curve fitting; model identify; patient ... See more keywords
Abstract 1467: A novel screening model to identify EWS::FLI1 regulators and their consequences on Ewing sarcoma plasticity
Sign Up to like & getrecommendations! Published in 2023 at "Cancer Research"
DOI: 10.1158/1538-7445.am2023-1467
Abstract: Ewing sarcoma (ES) is a rare, highly aggressive cancer of the bone and soft tissues that mainly affects children and young adults. The most common driver of ES is a chromosomal translocation between the EWSR1… read more here.
Keywords: ewing sarcoma; model identify; screening model; ef1 ... See more keywords
Editors' note: A predictive model to identify Parkinson disease from administrative claims data
Sign Up to like & getrecommendations! Published in 2018 at "Neurology"
DOI: 10.1212/wnl.0000000000005766
Abstract: In “A predictive model to identify Parkinson disease from administrative claims data,” the authors used demographic data, tobacco history, and diagnoses to develop a predictive model to identify Parkinson disease (PD) in the prodromal period.… read more here.
Keywords: identify parkinson; predictive model; model identify; parkinson disease ... See more keywords
Proposal of a theoretical model to identify organizational decline.
Sign Up to like & getrecommendations! Published in 2020 at "Anais da Academia Brasileira de Ciencias"
DOI: 10.1590/0001-3765202020180455
Abstract: This study aimed to propose a conceptual model of Identification of Organizational Decline, based on two indicators: Organizational Satisfaction Indicator and Financial Indicator. For the study, we used two bibliometric reviews, which, ultimately, associated the… read more here.
Keywords: model identify; organizational decline; proposal theoretical; decline ... See more keywords