Cassie S Mitchell

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 16

Top Topics

Mild Cognitive Impairment

Acute Lymphoblastic Leukemia

Machine Learning

Allogeneic Hematopoietic Stem Cell Transplantation

Top Venues

Journal of clinical medicine

Information processing in medical imaging : proceedings of the ... conference

Information (Basel)

International journal of molecular sciences

This page only lists publications with an associated author ORCID identifier.

Publications

Irfan Al-Hussaini, Brandon White, Armon Varmeziar, Nidhi Mehra, Milagro Sanchez, Judy Lee, Nicholas P DeGroote, Tamara P Miller, Cassie S Mitchell
An Interpretable Machine Learning Framework for Rare Disease: A Case Study to Stratify Infection Risk in Pediatric Leukemia. Journal of clinical medicine 13 (6) (2024)
Krutika Patidar, Jennifer H Deng, Cassie S Mitchell, Ashlee N Ford Versypt
Cross-Domain Text Mining of Pathophysiological Processes Associated with Diabetic Kidney Disease. International journal of molecular sciences 25 (8) (2024)
Krutika Patidar, Jennifer H Deng, Cassie S Mitchell, Ashlee N Ford Versypt
Cross-Domain Text Mining of Pathophysiological Processes Associated with Diabetic Kidney Disease. International journal of molecular sciences 25 (8) (2024)
Krutika Patidar, Jennifer H Deng, Cassie S Mitchell, Ashlee N Ford Versypt
Cross-Domain Text Mining of Pathophysiological Processes Associated with Diabetic Kidney Disease. International journal of molecular sciences 25 (8) (2024)
Irfan Al-Hussaini, Brandon White, Armon Varmeziar, Nidhi Mehra, Milagro Sanchez, Judy Lee, Nicholas P DeGroote, Tamara P Miller, Cassie S Mitchell
An Interpretable Machine Learning Framework for Rare Disease: A Case Study to Stratify Infection Risk in Pediatric Leukemia. Journal of clinical medicine 13 (6) (2024)
Irfan Al-Hussaini, Brandon White, Armon Varmeziar, Nidhi Mehra, Milagro Sanchez, Judy Lee, Nicholas P DeGroote, Tamara P Miller, Cassie S Mitchell
An Interpretable Machine Learning Framework for Rare Disease: A Case Study to Stratify Infection Risk in Pediatric Leukemia. Journal of clinical medicine 13 (6) (2024)
Irfan Al-Hussaini, Brandon White, Armon Varmeziar, Nidhi Mehra, Milagro Sanchez, Judy Lee, Nicholas P DeGroote, Tamara P Miller, Cassie S Mitchell
An Interpretable Machine Learning Framework for Rare Disease: A Case Study to Stratify Infection Risk in Pediatric Leukemia. Journal of clinical medicine 13 (6) (2024)
Raghav Tandon, Anna Kirkpatrick, Cassie S Mitchell
sEBM: Scaling Event Based Models to Predict Disease Progression via Implicit Biomarker Selection and Clustering. Information processing in medical imaging : proceedings of the ... conference 13939 (2023)
Sara Rajaram, Cassie S Mitchell
Data Augmentation with Cross-Modal Variational Autoencoders (DACMVA) for Cancer Survival Prediction. Information (Basel) 15 (1) (2023)
David Kartchner, Kevin McCoy, Janhvi Dubey, Dongyu Zhang, Kevin Zheng, Rushda Umrani, James J Kim, Cassie S Mitchell
Literature-Based Discovery to Elucidate the Biological Links between Resistant Hypertension and COVID-19. Biology 12 (9) (2023)
Sara Rajaram, Cassie S Mitchell
Data Augmentation with Cross-Modal Variational Autoencoders (DACMVA) for Cancer Survival Prediction. Information (Basel) 15 (1) (2023)
Raghav Tandon, Anna Kirkpatrick, Cassie S Mitchell
sEBM: Scaling Event Based Models to Predict Disease Progression via Implicit Biomarker Selection and Clustering. Information processing in medical imaging : proceedings of the ... conference 13939 (2023)
Irfan Al-Hussaini, Cassie S Mitchell
SeizFt: Interpretable Machine Learning for Seizure Detection Using Wearables. Bioengineering (Basel, Switzerland) 10 (8) (2023)
Sara Rajaram, Cassie S Mitchell
Data Augmentation with Cross-Modal Variational Autoencoders (DACMVA) for Cancer Survival Prediction. Information (Basel) 15 (1) (2023)
Raghav Tandon, Anna Kirkpatrick, Cassie S Mitchell
sEBM: Scaling Event Based Models to Predict Disease Progression via Implicit Biomarker Selection and Clustering. Information processing in medical imaging : proceedings of the ... conference 13939 (2023)
David Kartchner, Davi Nakajima An, Wendi Ren, Chao Zhang, Cassie S Mitchell
Rule-Enhanced Active Learning for Semi-Automated Weak Supervision. Artificial intelligence 3 (1) (2022)