Fusing Machine Learning and AI to Create a Framework for Employee Well-Being in the Era of Industry 5.0 by Cosmina-Mihaela Rosca, Adrian Stancu

“…We propose that the employee global indicator (EGI) is calculated based on the WBI and the dissatisfaction score component (DSC) to measure the overall state of mind of employees. …”
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A foundational model for in vitro fertilization trained on 18 million time-lapse images by Suraj Rajendran, Eeshaan Rehani, William Phu, Qiansheng Zhan, Jonas E. Malmsten, Marcos Meseguer, Kathleen A. Miller, Zev Rosenwaks, Olivier Elemento, Nikica Zaninovic, Iman Hajirasouliha

“…Abstract Embryo assessment in in vitro fertilization (IVF) involves multiple tasks—including ploidy prediction, quality scoring, component segmentation, embryo identification, and timing of developmental milestones. …”
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CARDIO-ANKLE VASCULAR INDEX (CAVI) AND ARTERIAL STIFFNESS ASSESSMENT AT MEDICAL PREVENTION DEPARTMENTS AND UNITS by R. M. Linchak, R. M. Komkov, O. G. Prishchepa, O. B. Shvabskaya

“…A moderately strong, statistically significant correlation was observed between CAVI and SCORE, as well as between CAVI and such SCORE components as age and SBP. However, further research is needed in order to clarify the possibility of CAVI inclusion in prognostic models.…”
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Assessing newborn scoring with each resuscitation (ANSWER): Protocol for identifying and testing an Apgar score for the 21st century. by Henry J Rozycki, Elizabeth E Foglia, Miheret S Yitayew, Heidi M Herrick

“…Observations, as well as any changes over time or after intervention will be compared between normal and abnormal, and those that are significant and independent based on logistic regression will become candidate newborn assessment score components.<h4>Expected results</h4>There are likely to be ten or more observations/elements from videos of the first five minutes of life that will differ between normal and abnormal newborns, and these will be tested in all combinations to identify the 1-3 score sets that will be applied to a new set of VERIFI videos to identify which has the best sensitivity/specificity.…”
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Total cardiovascular risk: what do the doctors know? by N. A. Chepurina, A. M. Kalinina, M. B. Khudyakov, N. V. Kiseleva

“…Ninety percent of the responders confirmed using the SCORE scale, 8,3 % were not using it, and 1,7 % did not know about the SCORE instrument. Among the SCORE components, 84 % of the practitioners correctly reported gender, age, blood pressure and total cholesterol; 75 % also correctly reported smoking; 40 % wrongly reported glucose and CVD in family history, while 30 % wrongly mentioned overweight, obesity, and waist circumference. …”
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The Impact of Epidemiological Trends and Guideline Adherence on Candidemia-Associated Mortality: A 14-Year Study in Northeastern Italy by Fabiana Dellai, Alberto Pagotto, Francesco Sbrana, Andrea Ripoli, Giacomo Danieli, Alberto Colombo, Denise D’Elia, Monica Geminiani, Simone Giuliano, Assunta Sartor, Carlo Tascini

“…Among individual score components, empiric echinocandin therapy and central venous catheter removal correlated with better outcomes. …”
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Cross-sectional assessment of the Tinetti performance-oriented mobility tool for screening physical frailty syndrome in older adults by Mahta Hayati, Guilherme Eustáquio Furtado, Parvaneh Nazarali, Mahta Sardroodian, Haniyeh Mohammadi, Mahdi Hosseinzadeh

“…Results Frail participants exhibited significantly lower scores in various PFF tests, including the Tinetti balance, walking, and total score components, physical activity levels (PAL), mean hand grip strength (MGS), 30-s arm curl (30 s-AC), 30 s-chair stand (30 s-CS), Standing Stork Balance (SSB), and back stretch (BST) tests (p < 0.001). …”
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Age-dependent differences in the association between blood interleukin-6 levels and mortality in patients with sepsis: a retrospective observational study by Takashi Shimazui, Takehiko Oami, Tadanaga Shimada, Keisuke Tomita, Taka-aki Nakada

“…There were no significant differences in the Sequential Organ Failure Assessment score, components of the APACHE II score (Acute physiology score and Chronic health points), MOD at baseline, or any of the outcome measures between the groups. …”
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Prediction of mortality and prioritisation to tertiary care using the 'OUR-ARCad' risk score gleaned from the second wave of COVID-19 pandemic-A retrospective cohort study from Sou... by Narendran Gopalan, Vinod Kumar Viswanathan, Vignes Anand Srinivasalu, Saranya Arumugam, Adhin Bhaskar, Tamizhselvan Manoharan, Santosh Kishor Chandrasekar, Divya Bujagaruban, Ramya Arumugham, Gopi Jagadeeswaran, Saravanan Madurai Pandian, Arunalatha Ponniah, Thirumaran Senguttuvan, Ponnuraja Chinnaiyan, Baskaran Dhanraj, Vineet Kumar Chadha, Balaji Purushotham, Manoj Vasanth Murhekar

“…The 'OUR-ARCad' risk score components were-Oxygen saturation SaO2<94%-23, Urea > 40mg/dL-15, Neutrophil/Lymphocytic ratio >3-23, Age > 50 years-8, Pulse Rate >100-8 and Coronary Artery disease-15. …”
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Applying the VERACITY data framework: how do public health agencies score? by Mrs Rinette Badker, Mr. Benjamin Ash, Ms Naama Kipperman, Mr. Patrick Savage, Mr. Chris Pardee, Nita K Madhav

“…Across sources, “year-round” was the most consistently high scoring component, while “representative” was the lowest. …”
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Associations of epigenetic age acceleration at birth and age 12 years with adolescent cardiometabolic risk: the HOME study by Jennifer L. Arzu, Karl T. Kelsey, George D. Papandonatos, Kim M. Cecil, Aimin Chen, Scott M. Langevin, Bruce P. Lanphear, Kimberly Yolton, Jessie P. Buckley, Joseph M. Braun

“…Results After adjusting for potential confounders, including estimated cell type proportions, epigenetic gestational age acceleration at birth, derived from the Bohlin, Knight, and Haftorn clocks using cord blood DNA methylation data, was not associated with cardiometabolic risk z-scores or individual cardiometabolic risk score components (visceral fat, leptin to adiponectin ratio, HOMA-IR, triglycerides to HDL-C ratio, HbA1c, or systolic blood pressure) at age 12 years. …”
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External validation of SYNTAX score II in a real-world cohort undergoing coronary artery bypass grafting by Philipp Angleitner, Hannes Abfalterer, Alexandra Kaider, Emely Manville, Martin Bichler, Michael Graber, Leo Pölzl, Daniel Zimpfer, Sigrid Sandner, Nikolaos Bonaros

“…In a stratified multivariable Cox proportional-hazards regression model, the following score components were independently associated with mortality: age (hazard ratio 1.03, 95% confidence interval 1.00 to 1.06), creatinine clearance (hazard ratio 0.98, 95% confidence interval 0.97 to 0.99), left-ventricular ejection fraction (hazard ratio 0.97, 95% confidence interval 0.95 to 0.98), and chronic obstructive pulmonary disease (hazard ratio 2.02, 95% confidence interval 1.34 to 3.05). …”
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Evaluating the Validity of Risk Scoring in Predicting Pacemaker Rates following Transcatheter Aortic Valve Replacement by Alexander M. Spring, Michael A. Catalano, Vikram Prasad, Bruce Rutkin, Elana Koss, Alan Hartman, Pey-Jen Yu

“…Of the four risk score components, preoperative RBBB was the only predictor of pacemaker requirement with an AUC of 0.615 for both balloon-expandable and self-expanding valves. …”
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