Search Results - regression based prediction algorithms

Predictive Model to Analyze Real and Synthetic Data for Learners' Performance Prediction Using Regression Techniques

Authors: Shabnam Ara S. J. Tanuja Ramachandriah Manjula S. Haladappa

Source: Online Learning. 2025 29(1):108-131.

Peer Reviewed: Y

Page Count: 24

Descriptors: Learning Analytics, Privacy, Artificial Intelligence, Regression (Statistics), Algorithms, Intervention, Teaching Methods, Prediction, Accuracy, Educational Technology, Evaluation Methods, Academic Achievement, Models, Student Records

Comparison of machine learning and conventional logistic regression-based prediction models for gestational diabetes in an ethnically diverse population: the Monash GDM Machine learning model

Authors: Belsti, Yitayeh Moran, Lisa Du, Lan et al.

Source: International Journal of Medical Informatics. 179

Subject Terms: Gestational diabetes mellitus, Machine learning, Predictive model, Prognosis

File Description: electronic

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-215085
https://doi.org/10.1016/j.ijmedinf.2023.105228

Machine learning algorithms performed no better than regression models for prognostication in traumatic brain injury

Authors: Gravesteijn, Benjamin Y. Nieboer, Daan Ercole, Ari et al.

Contributors: Gravesteijn, Benjamin Y. Nieboer, Daan Ercole, Ari et al.

Source: Journal of Clinical Epidemiology. 122:95-107

Subject Terms: Cohort study, Data science, Machine learning, Prediction, Prognosis, Traumatic brain injury

File Description: print

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-81118
https://doi.org/10.1016/j.jclinepi.2020.03.005

Identification of Vibration Source Influence Intensity in Combine Harvesters Using Multivariate Regression Analysis.

Authors: Cârdei, Petru Vlăduț, Nicolae-Valentin Biriș, Sorin-Ștefan et al.

Source: Applied Sciences (2076-3417); Sep2025, Vol. 15 Issue 18, p10159, 28p

Subject Terms: VIBRATION (Mechanics), COMBINES (Agricultural machinery), AUTOMOBILE seats, ACCELEROMETERS, PREDICTION algorithms, ERGONOMICS, VIBRATION measurements, MULTIVARIATE analysis

Developing vehicle-based traffic conflict prediction algorithms using deep learning

Authors: Formosa, Nicolette

Subject Terms: Traffic conflicts, simulation approach, Real-time data, deep learning, Aritificial Intelligence, machine Learning Predictions

Access URL: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.846976

An Efficient Crop Yield Prediction System Using Machine Learning.

Authors: Swain, Debabrata Lakum, Sachin Patel, Samrat et al.

Source: EAI Endorsed Transactions on Internet of Things; 2024, Vol. 10, p1-5, 5p

Subject Terms: PREDICTION algorithms, STANDARD deviations, CROP losses, AGRICULTURE, COMPUTATIONAL intelligence

A novel optical-based technology for in situ estimation of milk coagulability

Authors: Verdugo Gonzalez, Lucia

Thesis Advisors: Castillo Zambudio, Manuel, Arango Bedoya, Oscar, Zamora Viladomiu, Anna

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Coagulabilitat de la llet, Milk coagulability, Coagulabilidad de leche, Ciències de la Salut

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/694045

Simulator-Based Inference with Waldo: Confidence Regions by Leveraging Prediction Algorithms and Posterior Estimators for Inverse Problems

Authors: Masserano, Luca Dorigo, Tommaso Izbicki, Rafael et al.

Index Terms: Statistics - Machine Learning, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2205.15680

Development of CFD-based multi-fidelity surrogate models for indoor environmental applications

Authors: Morozova, Nina

Contributors: University/Department: Universitat Politècnica de Catalunya. Departament de Màquines i Motors Tèrmics

Thesis Advisors: Oliva Llena, Asensio, Trias Miquel, Francesc Xavier

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Àrees temàtiques de la UPC::Enginyeria dels materials

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/674740
https://dx.doi.org/10.5821/dissertation-2117-370232

PredictMed: A logistic regression–based model to predict health conditions in cerebral palsy.

Authors: Bertoncelli, Carlo M Altamura, Paola Vieira, Edgar Ramos et al.

Source: Health Informatics Journal. Sep2020, Vol. 26 Issue 3, p2105-2118. 14p.

Subject Terms: *Algorithms, *Decision support systems, *Information storage & retrieval systems, *Machine learning, *Research methodology, *Multivariate analysis, *Programming languages, *Data mining, Autism risk factors, Cerebral palsy, Confidence intervals, Epilepsy, Fisher exact test, Gastrostomy, Medical databases, People with intellectual disabilities, Nutritional assessment, Regression analysis, Risk assessment, Scoliosis, Sex distribution, Decision making in clinical medicine, Logistic regression analysis, Prediction models, Cross-sectional method, Descriptive statistics, Nutritional status, Odds ratio, Disease complications, Disease risk factors, Children

Advancing High School Dropout Predictions Using Machine Learning

Authors: Society for Research on Educational Effectiveness (SREE) Anika Alam A. Brooks Bowden

Source: Society for Research on Educational Effectiveness. 2024.

Peer Reviewed: Y

Descriptors: Dropout Characteristics, Prediction, Artificial Intelligence, At Risk Students, High School Students, Grade 9, Grade 10, Withdrawal (Education), Accuracy, Algorithms, Regression (Statistics), Grade 6, Models, Sampling, Racial Differences, Gender Differences, Ethnicity, Student Characteristics, English Language Learners, Students with Disabilities, Low Income Students, Grade 8, Grade 7, Attendance

Access URL: https://www.sree.org/2024-conference

Efficient Machine Learning-Based Prediction of Solar Irradiance Using Multi-Site Data.

Authors: Noura, Hassan N. Allal, Zaid Salman, Ola et al.

Source: Future Internet. Aug2025, Vol. 17 Issue 8, p336. 37p.

Subject Terms: *Machine learning, *Data analysis, Solar radiation, Photovoltaic power generation, Ensemble learning, Feature selection, Renewable energy sources

Prediction model for recurrence of hepatocellular carcinoma after resection by using neighbor2vec based algorithms.

Authors: Cao, Yuankui Fan, Junqing Cao, Hong et al.

Source: WIREs: Data Mining & Knowledge Discovery. Mar/Apr2021, Vol. 11 Issue 2, p1-13. 13p.

Subject Terms: *Decision trees, *Machine learning, *Algorithms, Hepatocellular carcinoma, Prediction models, Pearson correlation (Statistics), Support vector machines, Liver cancer

Geographic Terms: China

Performance of Observation-Based Prediction Algorithms for Very Short-Range, Probabilistic Clear-Sky Condition Forecasting

Authors: Hall, Timothy J. Mutchler, Carl N. Bloy, Greg J. et al.

Source: Journal of Applied Meteorology and Climatology, 2011 Jan 01. 50(1), 3-19.

Access URL: https://www.jstor.org/stable/26174002

The Effect of Sampling Design and Response Mechanism on Multivariate Regression-Based Predictors

Authors: Pfeffermann, Danny

Source: Journal of the American Statistical Association, 1988 Sep 01. 83(403), 824-833.

Access URL: https://www.jstor.org/stable/2289313

Development of cognitive workload models to detect driving impairment

Authors: Becerra Sánchez, Enriqueta Patricia

Contributors: University/Department: Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors

Thesis Advisors: Reyes Muñoz, María Angélica

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Machine learning, Prediction model, Cognitive workload, EEG signals, Aprendizaje automático, Modelo de predicción, Carga cognitiva, Señales EEG, Àrees temàtiques de la UPC::Informàtica

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/674658
https://dx.doi.org/10.5821/dissertation-2117-369387

A Bayesian Regression Based LTE-R Handover Decision Algorithm for High-Speed Railway Systems.

Authors: Bang, June-ho Oh, Sehchan Kang, Kyungran et al.

Source: IEEE Transactions on Vehicular Technology. Oct2019, Vol. 68 Issue 10, p10160-10173. 14p.

Subject Terms: *ROAMING (Telecommunication), *RAILROADS, *ALGORITHMS, *CELL communication, *MACHINE learning, *REGRESSION analysis

Black Box Prediction Methods in Sports Medicine Deserve a Red Card for Reckless Practice: A Change of Tactics is Needed to Advance Athlete Care.

Authors: Bullock, Garrett S. Hughes, Tom Arundale, Amelia H. et al.

Source: Sports Medicine; Aug2022, Vol. 52 Issue 8, p1729-1735, 7p

Subject Terms: RESEARCH evaluation, RESEARCH methodology evaluation, PHYSICAL training & conditioning, REGRESSION analysis, MACHINE learning, MEDICAL care, HUMAN services programs, RESPONSIBILITY, PUNISHMENT, SPORTS medicine, PREDICTION models, ATHLETIC ability, ALGORITHMS

Comparative Study of Hybrid ANFIS Models in Predicting Scour at Bed Sills

Authors: Raza, MD Atif Alam, Javed

Source: Water and Energy International 68r(7):17-24. 2025

Development of a single-center predictive model for conventional in vitro fertilization outcomes excluding total fertilization failure: implications for protocol selection.

Authors: Wang, Hai Pan, Haojie Xu, Zitong et al.

Source: Journal of Ovarian Research; 7/2/2025, Vol. 18 Issue 1, p1-15, 15p

Subject Terms: MACHINE learning, FERTILIZATION in vitro, DECISION making, LOGISTIC regression analysis, RANDOM forest algorithms, SEMEN