Consolidated Health Economic Evaluation Reporting Standards for Interventions that use Artificial Intelligence (CHEERS-AI) by Elvidge, J, Hawksworth, C, Avşar, TS, Zemplenyi, A, Chalkidou, A, Petrou, S, Petykó, Z, Srivastava, D, Chandra, G, Delaye, J, Denniston, A, Gomes, M, Knies, S, Nousios, P, Siirtola, P, Wang, J, Dawoud, D

“…The Consolidated Health Economic Evaluation Reporting Standards (CHEERS 2022) provide reporting guidelines for EEs. …”

English essay scoring by Lim, Wan Yu

“…The evaluation of good writing skills is labor intensive and can entail a subjective bias. Automated Essay Scoring (AES) is a tool that is able to save time and provide more objective evaluations. …”
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Scores for multivariate distributions and level sets by Meng, X, Taylor, J, Ben Taieb, S, Li, S

“…We propose a theoretical framework for scoring rules for multivariate distributions, which encompasses the existing quadratic score and multivariate continuous ranked probability score. …”

Development of a national maternity early warning score: centile based score development and Delphi informed escalation pathways by Gerry, S, Bedford, J, Redfern, OC, Rutter, H, Chester-Jones, M, Kelly, T, Watkinson, PJ, Knight, M

“…For the new national MEWS, in a healthy population, 56% of observation sets resulted in a total score of 0 points, 26% a score of 1 point, 12% a score of 2 points, and 18% a score of ≥2 points (escalation of care is triggered at a total score of ≥2 points). …”

Crowdsourcing-based automated essay scoring framework by Bai, Huanyu

“…Automated Essay Scoring (AES) is a challenging topic in Natural Language Processing. …”
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Indonesia's presidential debates: the score midway through by Lanti, Irman G.

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Alternative credit scoring for the un(der)banked by Elrakabawy, S

Subjects: “…Credit scoring systems…”

Using biothesiometer, Neuropathy Symptom Score, and Neuropathy Disability Score for the early detection of peripheral neuropathy: a cross-sectional study by Mooi, Ching Siew, Lee, Kai Wei, Yusof Khan, Abdul Hanif Khan, Devaraj, Navin Kumar, Cheong, Ai Theng, Hoo, Fan Kee, Sulaiman, Wan Aliaa Wan, Loh, Wei Chao, Jian, Leong Yong, Hui, Teh Xian, Ramachandran, Vasudevan

“…Following that, Neurological Symptom Score (NSS) and Neurological Disability Score (NDS) were taken from the participants to assess the neurological symptoms. …”
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Predicting credit scores of Singapore private manufacturing companies. by Lim, Hui Jun., Lim, Alex Zhi Wei., Tsai, Xinyi.

“…This paper adapted the Moody's RiskCalc™ Singapore accounting-based credit scoring model into categorizing Singapore private manufacturing companies based on their likelihood of default.…”
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Credit scoring system for online shopping and loan companies by Ng, Hwee Yuan

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The mass-produced miniature score and the classical chamber canon by Phillips, R

Image processing using neural network for auto-scoring system by Ruan, Zhendui.

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Modifiable risk factor score and fecundability in a preconception cohort in Singapore by Loy, See Ling, Ku, Chee Wai, Tiong, Michelle Mei Ying, Ng, Carissa Shi Tong, Cheung, Yin Bun, Godfrey, Keith M., Lim, Shan Xuan, Colega, Marjorelee T., Lai, Jun Shi, Chong, Yap-Seng, Shek, Lynette Pei-Chi, Tan, Kok Hian, Chan, Shiao-Yng, Chong, Mary Foong-Fong, Yap, Fabian, Chan, Jerry Kok Yen

“…Although multiple modifiable risk factors have been identified for reduced fecundability (defined as lower probability of conception within a menstrual cycle), no scoring system has been established to systematically evaluate fecundability among females who are attempting to conceive.…”
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A crowdsourcing-based incremental learning framework for automated essays scoring by Bai, Huanyu, Hui, Siu Cheung

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Robustly interrogating machine learning-based scoring functions: what are they learning? by Durant, G, Boyles, F, Birchall, K, Marsden, B, Deane, CM

“…Motivation: Machine learning-based scoring functions (MLBSFs) have been found to exhibit inconsistent performance on different benchmarks and be prone to learning dataset bias. …”

A quantitative measurement method for nuclear-pleomorphism scoring in breast cancer by Teoh, Chai Ling, Tan, Xiao Jian, Ab Rahman, Khairul Shakir, Bakrin, Ikmal Hisyam, Goh, Kam Meng, Siet, Joseph Jiun Wen, Wan Muhamad, Wan Zuki Azman

“…The HM equation yields a value approaching 1 for nuclei demonstrating characteristics of score-3 nuclear pleomorphism and near 0 for those exhibiting features of score-1 nuclear pleomorphism. …”
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Cognitive diagnostic assessment in educational testing: a score strategy-based evaluation by Muhamad Firdaus Mohd Noh, Mohd Effendi @ Ewan Mohd Matore, Nur Ainil Sulaiman, Mohd Tarmizi Azeman, Hamzah Ishak, Nursohana Othman, Nurbaya Mohd Rosli, Siti Hannah Sabtu

“…Therefore, this study seeks to describe the application of CDA in Malaysia through the SCORE analysis model method. The SCORE model of CDA is evaluated across five key elements: Strengths (S), Challenges (C), Options (O), Responses (R), and Effectiveness (E) by analyzing past literature sourced from reputable databases such as Google Scholar, SCOPUS, and Web of Science. …”
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A human-centric automated essay scoring and feedback system for the development of ethical reasoning by Lee, Alwyn Vwen Yen, Luco, Andrés Carlos, Tan, Seng Chee

“…This model was subsequently used to automatically score more essays at scale. Findings show substantial agreement on inter-rater reliability before model training was conducted with acceptable training accuracy. …”
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Genome-wide association analysis of composite sleep health scores in 413,904 individuals by Goodman, MO, Faquih, T, Paz, V, Nagarajan, P, Lane, JM, Spitzer, B, Maher, M, Chung, J, Cade, BE, Purcell, SM, Zhu, X, Noordam, R, Phillips, AJK, Kyle, SD, Spiegelhalder, K, Weedon, MN, Lawlor, DA, Rotter, JI, Taylor, KD, Isasi, CR, Sofer, T, Dashti, HS, Rutter, MK, Redline, S

“…Here we construct novel sleep health scores (SHSs) incorporating five core self-report measures: sleep duration, insomnia symptoms, chronotype, snoring, and daytime sleepiness, using additive (SHS-ADD) and five principal components-based (SHS-PCs) approaches. …”

A genre, scoring and authorship analysis of AI-generated and human-written refusal emails by Wilson, W, Rose, H

“…Applying a rating of professional writing quality, inferential statistics revealed no significant difference in scores between Gemini and human-written texts, but revealed ChatGPT as lower. …”