Machine learning for classifying chronic kidney disease and predicting creatinine levels using at-home measurements by Metherall, B, Berryman, AK, Brennan, GS

“…For monitoring and laboratory features, both methods achieve accuracies exceeding 98%. The R2 score for creatinine regression is approximately 0.3 higher with laboratory features than at-home features. …”

Assessing Risk in Implementing New Artificial Intelligence Triage Tools—How Much Risk is Reasonable in an Already Risky World? by Nord-Bronzyk, A, Savulescu, J, Ballantyne, A, Braunack-Mayer, A, Krishnaswamy, P, Lysaght, T, Ong, MEH, Liu, N, Menikoff, J, Mertens, M, Dunn, M

“…This paper explores risk surrounding these issues in an analysis of a case study involving a machine learning triage tool called the Score for Emergency Risk Prediction (SERP) in Singapore. …”

Friend request accepted: fundamental features of social environments determine social affiliation decisions by Garud, S

“…Next, in resting state fMRI data (n=400), I showed that model predicted factor score corresponding to anhedonia was related to functional connectivity between the SN and the aI. …”

The pivotal role of sleep in mediating the effects of life stressors and healthy habits on allostatic load in mid-life adults by Buller-Peralta, I, Gregory, S, Low, A, Dounavi, M, Bridgeman, K, Ntailianis, G, Lawlor, B, Naci, L, Koychev, I, Malhotra, P, O'Brien, JT, Ritchie, CW, Dauvilliers, Y, Muniz-Terrera, G

“…Model 1 included self-reported life stressors, engagement in cognitive and physical activities, resilience and a pyramid score for diet. In Model 2, self-reported sleep quality was included in the mediation analysis between resilience and perceived stress on AL. …”

Development and effectiveness of digital classroom assessment document for form one mathematics in secondary school by Nasir, Nurihan, Adnan, Mazlini, Rajoo, Murugan, Ismail, Anis Oweeda, Hidayat, Riyan

“…The digital CA-Do received a satisfactory expert validity score of content validity index (1.00), and found all four tested sub-constructs (i.e., usefulness, ease of use, ease of learning, and satisfaction of use) to be of high level. …”
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Application of scoby bacterial cellulose as hydrocolloids on physicochemical, textural and sensory characteristics of mango jam by Chong, Ann Qi, Chin, Nyuk Ling, A. Talib, Rosnita, Kadir Basha, Roseliza

“…Overall acceptability in sensory test scoring was above 70% on a nine-point hedonic scale with the 40 g kg−1 green tea kombucha scoby jam chosen as the most preferred. …”

Knowledge and attitude of lower back pain among nursing students in Universiti Sains Malaysia, Kelantan by Osman, Nur Asmida

“…As for the knowledge and attitude score, the results showed only 12 (7.7%) has high knowledge on LBP and most of the respondents got unhelpful belief towards LBP for attitude. …”
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Fear of childbirth among pregnant mothers at Hospital USM, Kelantan by Yi, Ong Yi

“…Forty-nine (20.2%) participants reported low to mild FOC. The mean FOC score was 2.34 (SD = 0.564), and 38.3% and 11.1% reported moderate to severe FOC, respectively. …”
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Quality of life and compliance with fluid restriction among hemodialysis patients in Hospital Universiti Sains Malaysia by Mohamad, Siti Aniza

“…As for the quality of life and compliance of fluid restriction score, the results show 34 patients (68%) in good level and 20 patients (40%) in low compliance respectively. …”
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A Data Mining-Based Model for Assessing Guangzhou's Higher Vocational Colleges 'New Energy Automobile Majors' Vocational Skills by He, Ling, Hamid, Hashima

“…In endurance validation tests, the hybrid model obtained an acceptable 88% F1 score, 90% recall, 86% precision, and 88% accuracy. …”
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An emerging network for COVID-19 CT-scan classification using an ensemble deep transfer learning model by Yousefpanah, Kolsoum, Ebadi, M. J., Sabzekar, Sina, Zakaria, Nor Hidayati, Osman, Nurul Aida, Ali Ahmadian, Ali Ahmadian

“…Based on experimental results, the CT6-CNN model achieved 94.66% accuracy, 94.67% precision, 94.67% sensitivity, and 94.65% F1-score rate. Moreover, the ensemble learning models reached 99.2% accuracy. …”

Student Perspective Toward Energy Conservation in Universiti Utara Malaysia by Khua, Su Yee, Mohd Shafie, Shafini, Nu’man, A Harits

“…Data analysis using SPSS revealed that the mean attitude score of 31.87 is higher than the levels of awareness, energy conservation knowledge, and subjective norms, indicating that attitude significantly influences students' perspectives on energy conservation. …”
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Deep learning-based text augmentation for named entity recognition by Surana, Tanmay

“…The final augmentation is selected by filtering candidates through Language Model scoring and a metric that uses Jaccard Similarity between the original pair and the candidates to improve specificity. …”
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Influence diffusion detection using the influence style (INFUSE) model by Tan, Luke Kien-Weng, Na, Jin-Cheon, Ding, Ying

“…The INFUSE model performed well with an average F1-score of 76% when compared to the in-degree and sentiment-value baseline approaches. …”
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Social media-based civic engagement solutions for dengue prevention in Sri Lanka : results of receptivity assessment by Lwin, May O., Vijaykumar, Santosh, Foo, Schubert, Fernando, Owen Noel Newton, Lim, Gentatsu, Panchapakesan, Chitra, Wimalaratne, Prasad

“…The overall receptivity to the system was high with a score of >4.00 on a five-point scale. Participants belonging to younger, better educated and higher income groups reported significantly better perceptions of the efficaciousness of the system, were confident in their ability to use the system, and planned to use it in the future. …”
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Data for iTRAQ profiling of micro-vesicular plasma specimens : in search of potential prognostic circulatory biomarkers for Lacunar infarction by Datta, Arnab, Sze, Siu Kwan

“…We confidently (unused prot score >3, FDR=1.1%) identified 183 proteins, 43 out of which were significantly regulated (p-value<0.05) in at least one of the three LACI groups in comparison to control group. …”
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Darkness in the human gene and protein function space : widely modest or absent illumination by the life science literature and the trend for fewer protein function discoveries sin... by Sinha, Swati, Eisenhaber, Birgit, Jensen, Lars Juhl, Kalbuaji, Bharata, Eisenhaber, Frank

“…The mentioning of gene names in the body of the scientific literature 1901–2017 and their fractional counting is used as a proxy to assess the level of biological function discovery. A literature score of one has been defined as full publication equivalent (FPE), the amount of literature necessary to achieve one publication solely dedicated to a gene. …”
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Factors affecting workplace well-being : Building construction projects by Rani, Hafnidar A., Radzi, Afiqah R., Ahmad Rizal, Alias, Almutairi, Saud Jaza, Abdul Rahimi, Abdul Rahman

“…Data from 205 valid responses were analyzed using mean score ranking, normalization, the Kruskal–Wallis test, and overlap analysis. …”
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Correlation between hardness and SEM-EDS characterization of palm oil waste based biocoke by Asri, Gani, Erdiwansyah, ., Hera, Desvita, Saisa, ., Mahidin, ., Rizalman, Mamat, Zulhaini, Sartika, Ratna Eko, Sarjono

“…The OPT biocoke sample had the highest porosity with a score of 0.86, or 85.76%. Furthermore, compared to EFB biocoke, OPM and OPF biocokes had a priority of 0.84 (84.20%) and 0.83 (83.48%), respectively. …”
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Deep Learning Based Prediction of Pulmonary Hypertension in Newborns Using Echocardiograms by Ragnarsdottir, Hanna, Ozkan, Ece, Michel, Holger, Chin-Cheong, Kieran, Manduchi, Laura, Wellmann, Sven, Vogt, Julia E.

“…Our results show a mean F1-score of 0.84 for severity prediction and 0.92 for binary detection using 10-fold cross-validation and 0.63 for severity prediction and 0.78 for binary detection on the held-out test set. …”
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