World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
8109
World Ranking
12410
National Ranking
5033

Overview

W. Nick Street is affiliated with the University of Iowa in the United States. Their research spans multiple fields, predominantly focusing on medicine and computer science, with notable contributions to artificial intelligence and public health. Their work often intersects technology and healthcare, particularly through the application of machine learning in medical contexts.

The scientist's main fields of study include:

  • Medicine (16 publications)
  • Computer Science (14 publications)

Within these fields, their subfields of study cover:

  • Artificial Intelligence (11 publications)
  • Public Health, Environmental and Occupational Health (4 publications)
  • Critical Care and Intensive Care Medicine (3 publications)
  • General Health Professions (3 publications)
  • Oncology (2 publications)

The primary research topics addressed by W. Nick Street include:

  • Machine Learning in Healthcare (6 publications)
  • Cancer survivorship and care (4 publications)
  • Intensive Care Unit Cognitive Disorders (4 publications)
  • Anesthesia and Sedative Agents (4 publications)
  • Traffic Prediction and Management Techniques (4 publications)
  • Palliative Care and End-of-Life Issues (4 publications)
  • Privacy-Preserving Technologies in Data (4 publications)

W. Nick Street has published across multiple scholarly venues, including:

  • arXiv (Cornell University) with three publications
  • JCO Clinical Cancer Informatics
  • INFORMS Journal on Data Science
  • Diagnostic Microbiology and Infectious Disease
  • Acta Psychiatrica Scandinavica

Recent notable papers authored or co-authored by W. Nick Street are:

  • "Prediction of Cancer Symptom Trajectory Using Longitudinal Electronic Health Record Data and Long Short-Term Memory Neural Network" (2024), published in JCO Clinical Cancer Informatics
  • "Modest Clostridiodes difficile infection prediction using machine learning models in a tertiary care hospital" (2020), published in Diagnostic Microbiology and Infectious Disease
  • "Evaluating the performance of machine learning methods for risk estimation of delirium in patients hospitalized from the emergency department" (2023), published in Acta Psychiatrica Scandinavica
  • "Predicting User Posting Activities in Online Health Communities with Deep Learning" (2020), published in ACM Transactions on Management Information Systems
  • "How Can IJDS Authors, Reviewers, and Editors Use (and Misuse) Generative AI?" (2023), published in INFORMS Journal on Data Science

Frequent collaborators of W. Nick Street include:

  • Stephanie Gilbertson-White (4 publications)
  • Brianna Mueller (3 publications)
  • Sena Chae (2 publications)
  • Ryan M. Carnahan (2 publications)
  • Sangil Lee (2 publications)

Best Publications

  • A streaming ensemble algorithm (SEA) for large-scale classification

    W. Nick Street;YongSeog Kim

  • Breast Cancer Diagnosis and Prognosis Via Linear Programming

    Olvi L. Mangasarian;W. Nick Street;William H. Wolberg

  • Nuclear feature extraction for breast tumor diagnosis

    W Nick Street;William H Wolberg;Olvi L Mangasarian

  • Feature selection in unsupervised learning via evolutionary search

    YeongSeog Kim;W. Nick Street;Filippo Menczer

  • Clustering via Concave Minimization

    Paul S. Bradley;Olvi L. Mangasarian;W. Nick Street

  • Ensemble Pruning Via Semi-definite Programming

    Yi Zhang;Samuel Burer;W. Nick Street

  • Machine learning techniques to diagnose breast cancer from image-processed nuclear features of fine needle aspirates

    William H. Wolberg;W.Nick Street;O.L. Mangasarian

  • Feature Selection Via Mathematical Programming

    P. S. Bradley;O. L. Mangasarian;W. N. Street

  • Healthcare information systems: data mining methods in the creation of a clinical recommender system

    Unknown

  • An intelligent system for customer targeting: a data mining approach

    YongSeog Kim;W. Nick Street

  • Customer Targeting: A Neural Network Approach Guided by Genetic Algorithms

    YongSeog Kim;W. Nick Street;Gary J. Russell;Filippo Menczer

  • Computer-derived nuclear features distinguish malignant from benign breast cytology.

    William H Wolberg;W.Nick Street;Dennis M Heisey;Olvi L Mangasarian

  • Image analysis and machine learning applied to breast cancer diagnosis and prognosis.

    W H Wolberg;W N Street;O L Mangasarian

  • Evolutionary model selection in unsupervised learning

    YongSeog Kim;W. Nick Street;Filippo Menczer

  • Feature selection in data mining

    YongSeog Kim;W. Nick Street;Filippo Menczer

  • Application of Artificial Neural Network-Based Survival Analysis on Two Breast Cancer Datasets

    Chih Lin Chi;W. Nick Street;William H. Wolberg

  • Efficient and Scalable Pareto Optimization by Evolutionary Local Selection Algorithms

    Filippo Menczer;Melania Degeratu;W. Nick Street

  • A Neural Network Model for Prognostic Prediction

    W. Nick Street

  • COMPUTERIZED BREAST CANCER DIAGNOSIS AND PROGNOSIS FROM FINE NEEDLE ASPIRATES

    W H Wolberg;W N Street;D M Heisey;O L Mangasarian

  • Financial Asset-Pricing Theory and Stochastic Programming Models for Asset/ Liability Management: a Synthesis

    P. S. Bradley;O. L. Mangasarian;W. N. Street;Debra E. Meyerson

  • An inductive learning approach to prognostic prediction

    W. Nick Street;Olvi L. Mangasarian;William H. Wolberg

  • Social Support and User Engagement in Online Health Communities

    Xi Wang;Kang Zhao;W. Nick Street

  • Collaborative filtering via euclidean embedding

    Mohammad Khoshneshin;W. Nick Street

  • Detecting Wikipedia vandalism with active learning and statistical language models

    Si-Chi Chin;W. Nick Street;Padmini Srinivasan;David Eichmann

Frequent Co-Authors

Olvi L. Mangasarian
Olvi L. Mangasarian University of Wisconsin–Madison
Filippo Menczer
Filippo Menczer Indiana University
Padmini Srinivasan
Padmini Srinivasan University of Iowa
Hanghang Tong
Hanghang Tong University of Illinois at Urbana-Champaign
Samuel Burer
Samuel Burer University of Iowa

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