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40 papers and 7 presentations; 47 titles.

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Conference × Year × Title × Authors Extras Pages
WUSS 2026 From Prediction to Explanation: Per-Patient SHAP Attribution for a Random Forest Diabetes Risk Classifier Leon Rod Davoody,
Chary Akmyradov		 source 12
PHUSE US 2026 Reproducible Validation Framework for R & Python in GxP Bill Qubeck,
Kala Shivali		 source
presentation source		 10
PHUSE APAC 2026 A Hybrid Machine Learning Framework for Predicting Himanshu Dadhich,
Nikhil Khandelwal		 source
presentation source		 26
SESUG 2025 Introduction to Developing Neural Nets David B. Horvath 21
PharmaSUG 2025 Methodology for AI-driven Outcome Prediction for Patients with Atrial Fibrillation After Transcatheter Aortic Valve Implantation (TAVI) Felix Just,
Krishna Padmanabhan,
Parth Jinger,
Amanda Borrow,
Rüdiger Smolnik,
Eva-Maria Fronk,
Neelam Yadav,
Sergei Krivtcov,
Stas Zakharkin,
Martin Unverdorben,
Asmir Vodencarevic		 source 6
SESUG 2024 Unlocking Insights: Harnessing Supervised Machine Learning for Advanced Data Analysis Vindhya Hegde source 23
PharmaSUG 2024 MLNR or Machine Learning in R Chuck Kincaid source 23
PHUSE US 2024 Risk-Based Monitoring Using AI/ML Detection of Systematic Bias in Clinical Data Kostiantyn Drach,
Sergey Glushakov		 source
presentation source		 12
PHUSE EU 2021 Deep Active Learning for Clinical Entity Recognition [presentation] Nadia Abraham source
video		 33
PHUSE EU 2021 Moving Your SCE to the Cloud, Focusing on Qualification and Validation [poster] Daniel Christen,
Martin Doughty		 source
video		 1
PHUSE US 2021 Central Statistical False Positives - Predicting True Signals with Machine Learning [presentation] Dorothea Ugi source
video		 24
PHUSE US 2021 Standing Room Only Presentation: ML08: You Are the Company You Keep: Converting Words to Numbers Using Text Embeddings [presentation] Michael Stackhouse source 23
SGF 2021 Prediction of Parkinson's Disease With a Regression Model Using Vertical Ground Reaction Force Data Jin Ge,
Tianchen Xu,
Jia Guo,
Mengyu Zhang		 source
presentation		 7
SGF 2020 How to Explain Your Black-Box Models in SAS Viya Funda Güneş source 26
SGF 2020 Medical Image Analyses in SAS Viya with Applications in Automatic Tissue Morphometry in the Clinic Courtney Ambrozic source 13
SGF 2020 Multilingual Sentiment Analysis: An RNN-Based Framework for Limited Data Ethem Can,
Aysu Ezen-Can		 source 7
SESUG 2019 A Random Forest Example of the Boston Housing Data using the Base SAS and the PROC_R macro in SAS Enterprise Guide Melvin T. Alexander source 18
SESUG 2019 Using PROC FCMP to Implement Anomaly Detection Method Tsung-Hsun Tsai source 6
MWSUG 2019 Evaluate your SCORE: Logistic regression prediction comparison using the SCORE statement Robert G. Downer 6
PharmaSUG 2019 Performing Analytics on Free-Text Data Fields: A Programer-s Wurst Nitemare Michael S Rimler,
Matt Pitlyk		 source 18
PHUSE US 2019 Integrative Analysis of Circulating Tumor Cell Counts and Gene Expression Levels Yauheniya Cherkas source
presentation source		 8
PHUSE EU 2018 Introduction to Machine Learning Nicolas Dupuis,
Kevin Lee		 source
presentation source		 9
PHUSE US 2018 A Semantic NLP Approach for Structuring and Analysis of FDA Meeting Minutes Documents Michelle Shen,
Weizhong Zhao		 source
presentation source		 12
PHUSE US 2018 Upholding Ethics and Integrity: A macro-based approach to detect plagiarism in programming Sridhar Vijendra,
Praveen Kumar		 source
presentation source		 7
SGF 2018 Managing the Expense of Hyperparameter Autotuning Patrick Koch source 20
SGF 2017 Testing the Night Away Laurent de Walick,
Bas Marsman,
Stephan Minnaert		 source 13
MWSUG 2014 Measuring Product-level Promotional Effectiveness using Multiple Linear Regression Aaron Clark,
Cory Weinmann,
Donald Kirk		 10
MWSUG 2014 Prediction Improvement from Geostatistical Methodology in Regression Modeling For Census Tract Data Robert G. Downer 10
WUSS 2014 Design of Experiments (DOE) Using JMP [presentation] Charles E. Shipp 16
SGF 2014 Building Gamer Segmentation in the Credit Card Industry Using SAS Enterprise Guide Yang Ge source 10
NESUG 2013 An Animated Guide: An Introduction to Neural Nets: Russell M. Lavery 12
SGF 2012 An Experimental Comparison of Classification Techniques for Imbalanced Credit Scoring Data Sets Using SAS Enterprise Miner Iain L. Brown source 14
MWSUG 2009 Outcome Research for Diabetic Inpatients with SAS Enterprise Miner 5.2 Xiao Wang 21
MWSUG 2008 Classification of Breast Cancer Cells Using JMP Marie Gaudard 34
PharmaSUG 2006 Socio-economic factors to utilization of the emergency department David Nfodjo 4
WUSS 2003 A SAS Macro Solution for Scoring Test Data with Output Features and Parameters from Logistic Regression Model Training Joseph Blue source 5
SEUGI 2003 Data Mining for Predicting Customer Satisfaction [presentation] Francesco Vivarelli source 35
VIEWS 2001 Data Mining and Statistical Models in Marketing Campaigns of BT Retail Francesco Vivarelli,
Martyn Johnson		 9
WUSS 2001 Discriminant Analysis, A Powerful Classification Technique in Data Mining George C. J. Fernandez source 9
SEUGI 2001 Testing for the geographic representativeness of data subsets - The Nugget Effect or Degress of Difficulty [presentation] Frederick D. Busche source 21
SUGI 2001 A Practical Introduction to the Power of Enterprise Miner Michael S. Lajiness source 7
SUGI 2000 Using Enterprise Miner to Explore and Exploit Drug Discovery Data Michael S. Lajiness source 8
WUSS 1997 Some Applications of Data Mining Tools in Database Marketing Jiamin Liu source 6
NESUG 1997 Implementation and Comparison of the Back Propagation Neural Network in SAS Software John S. DaPonte 10
SUGI 1997 How Many Good Fishes Are There in Our Net? Neural Networks as a Data Analysis Tool in CDE-Mondadori's Data Warehouse Guido Cuzzocrea,
Alberto Saccardi,
Giovanni Lux,
Emilia Porta,
Arianna Benatti		 source 6
NESUG 1995 The Use of the SAS/SHARE Product in a Dynamic Manufacturing Environment Hans R. Nagl,
James Robertson		 4
NESUG 1994 A SAS Macro Incorporating Discriminant Analystis Techniques Sivaram Kalyandrug,
Antonis D. Koutsoukos,
Lawrence V. Rubinstein		 9

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