The association of muscle weakness with functional disability in older patients with Diabetes mellitus: Measured by three different grip strength thresholds. by Sibel Çavdar, Fatma Ozge Kayhan Kocak, Sumru Savas

“…For patients with DM, regional normative thresholds predicted functional disability both for ADLs and IADLs whereas for patients without DM normative thresholds predicted ADL, and calculated thresholds predicted IADL disability. …”
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Protein multiplicity: exemplifying an overwhelmingly likely pattern of molecular evolution? by Les Hatton, Greg Warr

“…It is not a theory of evolution per se, but if it is correct, CoHSI can predict and help explain emergent patterns of macroevolution. …”
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Study of Reaction Mechanisms in α + 69Ga reaction at ≈10 – 50 MeV by F. K. Amanuel

“…The theoretical model predictions were based on the statistical code COMPLETE, and the predicted results were compared and discussed with existing experimental data. …”
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Constructing a machine learning model for systemic infection after kidney stone surgery based on CT values by Jiaxin Li, Yao Du, Gaoming Huang, Yawei Huang, Xiaoqing Xi, Zhenfeng Ye

“…The eXtreme Gradient Boosting (XGBoost) model was the best performer [AUC: 0.858; sensitivity: 0.877; specificity: 0.981; accuracy: 0.841; positive predictive value: 0.629; negative predictive value: 0.851]. …”
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Accounting for racial bias and social determinants of health in a model of hypertension control by Yang Hu, Nicholas Cordella, Rebecca G. Mishuris, Ioannis Ch. Paschalidis

“…Results The predictive model of high SBP reached an Area Under the Receiver Operating Characteristic Curve of 74.49% ± 0.23%. …”
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Human Resource Practices and Employee Retention in Local Governments in Uganda: A Case of Kabale District Local Government. by Baingana, Alex

“…From the linear regression analysis, it was revealed that from the linear regression, it was revealed that recruitment and selection predicted employee retention by only 0.08% with insignificant predictive potential at (Beta = .026, p=.781>0.05), development and training predicted employee retention by only 10.1% with insignificant predictive potential at (Beta = .159, p=.086>0.05) and compensation and benefits predicted employee retention by only 17.8% with significant predicator at (Beta = .430, p=.000<0.05). …”
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Human Resource Practices and Employee Retention in Local Governments in Uganda: A Case of Kabale District Local Government. by Baingana, Alex

“…From the linear regression analysis, it was revealed that from the linear regression, it was revealed that recruitment and selection predicted employee retention by only 0.08% with insignificant predictive potential at (Beta = .026, p=.781>0.05), development and training predicted employee retention by only 10.1% with insignificant predictive potential at (Beta = .159, p=.086>0.05) and compensation and benefits predicted employee retention by only 17.8% with significant predicator at (Beta = .430, p=.000<0.05). …”
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Humans rationally balance detailed and temporally abstract world models by Ari E. Kahn, Nathaniel D. Daw

“…The current study extends these ideas from simple habits into usage of more sophisticated approximate predictive models, and demonstrates that individuals dynamically adapt these in response to the predictability of their environment.…”
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Prevalence and predictors of severe Crohn’s disease at a tertiary hospital in South Africa by C Gounden, V Naidoo, Y Moodley

“… Background Predicting severe Crohn's disease (SCD) can assist in planning risk reduction therapy for SCD, thereby improving disease outcomes. …”
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An Assessment of the Utility of a Bayesian Framework to Improve Response Propensity Models in Longitudinal Data by Eliud Kibuchi, Gabriele B Durrant, Olga Maslovskaya, Patrick Sturgis

“…One application is to predict sample members who are likely to be survey nonrespondents. …”
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Development of clinical decision support for patients older than 65 years with fall-related TBI using artificial intelligence modeling. by Biche Osong, Eric Sribnick, Jonathan Groner, Rachel Stanley, Lauren Schulz, Bo Lu, Lawrence Cook, Henry Xiang

“…<h4>Results</h4>Our decision tree used seven admission variables to predict the discharge disposition of older TBI patients. …”
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MODELING THE TENSILE STRENGTH OF CONCRETE WITH POLYETHYLENE TEREPHTHALATE (PET) WASTE AS REPLACEMENT FOR FINE AGGREGATE USING ARTIFICIAL NEURAL NETWORK by WASIU AJAGBE, MURTADHA TIJANI, OLUWAFEMI ODUKOYA

“…It is concluded that ANN models accurately predicted the tensile strength of PET concrete. …”
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Dynamic monocyte changes as prognostic indicators in operable gastric cancer: a retrospective cohort analysis by Yiwei Jiang, Xianwei Sun, Chen Yang, Dandan Song, Chongjun Zhou, Xinxin Chen, Chongquan Huang, Zhonglin Wang, Jiante Li

“…The MMR showed high predictive value and significant clinical benefits in 1, 3, and 5-year overall survival (OS) assessments. …”
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Anxiety and Fear of Negative Evaluation as Predictors of Hypomanic Activity Among Freshly Admitted University Students in Lagos Nigeria. by Bushura, Afolabi Aroyewun, Baba, Ahmed Karatu, Graziella Onyegesi

“…This study examines whether anxiety and fear of negative evaluation predict hypomanic activity among new entrants to the University. …”
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Utility of Visceral Adiposity Index and Lipid Accumulation Products to Define Metabolically-Unhealthy Polycystic Ovary Syndrome in Asian Indian Women - A Cross Sectional Study by R. A. Shreenidhi, Reeta Mahey, Monika Rajput, Rohitha Cheluvaraju, Ashish D. Upadhyay, Jai Bhagwan Sharma, Garima Kachhawa, Neerja Bhatla

“…VAI has a positive predictive value of 61.7% (95% CI [23.7%–40.3%]) and a negative predictive value of 95% (95% CI [88%–99.1%]). …”
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Modeling and estimation of physiochemical properties of cancer drugs using entropy measures by Qasem M. Tawhari, Muhammad Naeem, Abdul Rauf, Muhammad Kamran Siddiqui, Oladele Oyelakin

“…Entropy measures are used to predict physical and chemical properties of drugs. …”
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The same but different. Multidimensional assessment of depression in students of natural science and music by Michaela Korte, Deniz Cerci, Roman Wehry, Renee Timmers, Victoria J. Williamson

“…This study used a predictive design, observing the change in variables between groups as well as predicting which combinations of variables would likely determine depression prevalence. 102 under- and postgraduate students from various higher education institutions participated in an online survey. …”
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Comparison of serum ischemia modified albumin levels between preeclamptic and healthy pregnant women by Dinç Zuhal, Çakar Erbil, Kumru Pınar, Erel Özcan, Neşelioğlu Salim, Cimsit Nilüfer, Boz Gizem

“…When IMA threshold value of >0.98 was taken to predict preeclampsia; the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were calculated as 65.15%, 64.71%, 64.18%, and 65.67%, respectively. …”
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The role of the TAPSE/sPAP ratio as a predictor of mortality in Pulmonary Arterial Hypertension: Its value for patient risk stratification by Paul Palacios-Moguel, MD, Guillermo Cueto-Robledo, MD, Héctor González-Pacheco, MD, Jorge Ortega-Hernández, MD, María Berenice Torres-Rojas, MD, Dulce Iliana Navarro-Vergara, MD, Marisol García-Cesar, MD, Cinthia Alejandra González-Nájera, MD, Carlos Alfredo Narváez-Oríani, MD, Julio Sandoval, MD

“…Objective: To evaluate the usefulness of the TAPSE/sPAP ratio in predicting outcomes and improving risk stratification in patients with PAH. …”
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Correlation of rivaroxaban solubility in mixed solvents for optimization of solubility using machine learning analysis and validation by Muteb Alanazi, Jowaher Alanazi, Tareq Nafea Alharby, Bader Huwaimel

“…To complement experimental insights, machine learning models were employed to predict rivaroxaban solubility based on temperature, solvent type, and mass fraction of dichloromethane. …”
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