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Orit Raphaeli
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Year
Analyzing online consumer behavior in mobile and PC devices: A novel web usage mining approach
O Raphaeli, A Goldstein, L Fink
Electronic commerce research and applications 26, 1-12, 2017
1232017
Multivariate methods in enterprise system implementation, risk management and change management
RS Kenett, O Raphaeli
International Journal of Risk Assessment and Management 9 (3), 258-276, 2008
262008
Towards personalized nutritional treatment for malnutrition using machine learning-based screening tools
O Raphaeli, P Singer
Clinical Nutrition 40 (10), 5249-5251, 2021
122021
M-commerce vs. E-commerce: Exploring web session browsing behavior
O Raphaeli, L Fink, S Berman, A Goldstein
122014
Addressing the ‘Tower of Babel’of pesticide regulations: an ontology for supporting pest-control decisions
A Goldstein, L Fink, O Raphaeli, A Hetzroni, G Ravid
The Journal of Agricultural Science 157 (6), 493-503, 2019
72019
Advances in Data Mining: Applications in Image Mining, Medicine and Biotechnology, Management and Environmental Control, and Telecommunications; 4th Industrial Conference on …
P Perner
Springer Science & Business Media, 2004
72004
Improvement in the Prediction of Coronary Heart Disease Risk by Using Artificial Neural Networks
O Goldman*, O Raphaeli* (* equal contribution), E Goldman, M Leshno
Quality Management in Health Care 30 (4), 244-250, 2021
62021
Correlations between first 72 h hypophosphatemia, energy deficit, length of ventilation, and mortality—a retrospective cohort study
L Statlender, O Raphaeli, I Bendavid, M Hellerman, I Kagan, G Fishman, ...
Nutrients 14 (7), 1332, 2022
52022
Gastrointestinal failure, big data and intensive care
P Singer, E Robinson, O Raphaeli
Current Opinion in Clinical Nutrition & Metabolic Care 26 (5), 476-481, 2023
32023
Feeding intolerance as a predictor of clinical outcomes in critically ill patients: a machine learning approach
O Raphaeli, C Hajaj, I Bendavid, A Goldstein, E Chen, P Singer
Clinical Nutrition ESPEN 46, S546-S547, 2021
32021
Applying case based reasoning approach in analyzing organizational change management data
O Raphaeli, J Zahavi, R Kenett
Advances in Data Mining: Applications in Image Mining, Medicine and …, 2005
32005
The future of artificial intelligence in clinical nutrition
P Singer, E Robinson, O Raphaeli
Current Opinion in Clinical Nutrition & Metabolic Care 27 (2), 200-206, 2024
22024
Using machine-learning to assess the prognostic value of early enteral feeding intolerance in critically ill patients: a retrospective study
O Raphaeli, L Statlender, C Hajaj, I Bendavid, A Goldstein, E Robinson, ...
Nutrients 15 (12), 2705, 2023
22023
Engagement, Search Goals and Conversion-The Different M-Commerce Path to Conversion.
A Goldstein, O Raphaeli, S Reichman
ICIS, 2016
22016
E-business Value Creation from a Resource-Based Perspective: A Review of the Last Decade of Empirical Research
O Raphaeli, S Berman, L Fink
Foundations and Trends® in Information Systems 1 (1), 1-68, 2015
12015
Measuring The Business Value of E-Business Technologies
O Raphaeli, G Naveh, M Levi, S Berman, L Fink
Information Systems (ILAIS) Conference July 2, 2012, 101, 2012
12012
Starvation and occurrence of hypophosphatemia (HYPOP) during ICU stay
L Statlender, O Raphaeli, M Hellerman, I Kagan, T Shochat, P Singer
Clinical Nutrition ESPEN 58, 586, 2023
2023
Supplemental parenteral nutrition initiation timing and clinical outcomes in critically ill patients: An exploratory data analysis
O Raphaeli, L Statlander, I Kagan, M Hellerman-Itshaki, E Robinson, ...
Clinical Nutrition ESPEN 58, 588, 2023
2023
Gastric residual volume as predictor of clinical outcomes in critically ill patients at nutritionday: A machine learning (ML) approach
O Raphaeli, LB Yechiel, L Statlander, I Kagan, M Hiesmayr, S Tarantino, ...
Clinical Nutrition ESPEN 58, 452-453, 2023
2023
Overfeeding in critical illness: effect on minute volume and PaCO2
O Raphaeli, L Statlander, S Algrabli, D Iluz, C Ofir, P Singer
Clinical Nutrition ESPEN 58, 452, 2023
2023
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