Daniel Lizotte

Daniel Lizotte

Western University

H-index: 27

North America-Canada

About Daniel Lizotte

Daniel Lizotte, With an exceptional h-index of 27 and a recent h-index of 22 (since 2020), a distinguished researcher at Western University, specializes in the field of Machine Learning, Reinforcement Learning, Statistics, Biostatistics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Drl-gan: A hybrid approach for binary and multiclass network intrusion detection

Identifying Bladder Phenotypes After Spinal Cord Injury With Unsupervised Machine Learning: A New Way to Examine Urinary Symptoms and Quality of Life

Variations in time to breast cancer treatment initiation and survival across ethnoracial groups: a DAGs based approach to systematic review

Understanding intersectional inequality in access to primary care providers using multilevel analysis of individual heterogeneity and discriminatory accuracy

Data-Driven Decision Support Tool Co-Development with a Primary Health Care Practice Based Learning Network

Understanding data provenance when using electronic medical records for research: Lessons learned from the Deliver Primary Healthcare Information (DELPHI) database

Perioperative mortality in low-, middle-, and high-income countries: Protocol for a multi-level meta-regression analysis

Application of a Novel Index for Understanding Vascular Health Following Pharmacological Intervention in a Pre-Clinical Model of Metabolic Disease

Daniel Lizotte Information

University

Position

Assistant Professor of Computer Science

Citations(all)

3438

Citations(since 2020)

2101

Cited By

1960

hIndex(all)

27

hIndex(since 2020)

22

i10Index(all)

45

i10Index(since 2020)

37

Email

University Profile Page

Google Scholar

Daniel Lizotte Skills & Research Interests

Machine Learning

Reinforcement Learning

Statistics

Biostatistics

Top articles of Daniel Lizotte

Drl-gan: A hybrid approach for binary and multiclass network intrusion detection

arXiv preprint arXiv:2301.03368

2023/1/5

Daniel Lizotte
Daniel Lizotte

H-Index: 16

Anwar Haque
Anwar Haque

H-Index: 7

Identifying Bladder Phenotypes After Spinal Cord Injury With Unsupervised Machine Learning: A New Way to Examine Urinary Symptoms and Quality of Life

The Journal of Urology

2024/4/16

John Stoffel
John Stoffel

H-Index: 20

Daniel Lizotte
Daniel Lizotte

H-Index: 16

Variations in time to breast cancer treatment initiation and survival across ethnoracial groups: a DAGs based approach to systematic review

2023/9/13

Understanding intersectional inequality in access to primary care providers using multilevel analysis of individual heterogeneity and discriminatory accuracy

Plos one

2024/1/19

Data-Driven Decision Support Tool Co-Development with a Primary Health Care Practice Based Learning Network

2023

Understanding data provenance when using electronic medical records for research: Lessons learned from the Deliver Primary Healthcare Information (DELPHI) database

International Journal of Population Data Science

2023/9/28

Amanda Terry
Amanda Terry

H-Index: 14

Daniel Lizotte
Daniel Lizotte

H-Index: 16

Perioperative mortality in low-, middle-, and high-income countries: Protocol for a multi-level meta-regression analysis

medRxiv

2023

Application of a Novel Index for Understanding Vascular Health Following Pharmacological Intervention in a Pre-Clinical Model of Metabolic Disease

Frontiers in Pharmacology

2023/1/25

Unlocking the Power of Explainability in Ranking Systems: A Visual Analytics Approach with XAI Techniques

2023/6/15

Kamran Sedig
Kamran Sedig

H-Index: 17

Daniel Lizotte
Daniel Lizotte

H-Index: 16

Factors Influencing Admission Decisions in Skilled Nursing Facilities: Retrospective Quantitative Study

Journal of Medical Internet Research

2023/5/17

Perceptions of artificial intelligence use in primary care: a qualitative study with providers and staff of Ontario Community Health Centres

The Journal of the American Board of Family Medicine

2023/4/3

An App-Based Ecological Momentary Assessment of Undergraduate Mental Health During the COVID-19 pandemic in Canada (Smart Healthy Campus Version 2.0): Longitudinal Study

medRxiv

2023/3/28

Inaugural Artificial Intelligence for Public Health Practice (AI4PHP) Retreat: Ontario, Canada

2023

Using epidemiology and artificial intelligence to describe a complex primary care population in a learning health system

2023/1/1

A smart technology intervention in the homes of people with mental illness and physical comorbidities

Sensors

2022/12/30

A novel vascular health index: Using data analytics and population health to facilitate mechanistic modeling of microvascular status

Frontiers in Physiology

2022/12/6

Racial disparity and time to treatment initiation effects on survival differences in breast cancer: a DAGs-based review protocol for a systematic review of cohort studies

2022/11/1

Is primary health care ready for artificial intelligence? What do primary health care stakeholders say?

BMC Medical Informatics and Decision Making

2022/9/9

Smart Technology in the Home for People Living in the Community with Mental Illness and Physical Comorbidities

2022/6/17

Describing intersectional health outcomes: an evaluation of data analysis methods

Epidemiology

2022/5/1

Daniel Lizotte
Daniel Lizotte

H-Index: 16

See List of Professors in Daniel Lizotte University(Western University)

Co-Authors

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