Author

Ankita Sethi

Institution: Mayo Clinic

Observed institution: Mayo Clinic

ORCID: 0009-0002-3340-5955

Observed ORCID: 0009-0002-3340-5955

OpenAlex ID: A5109648019

Machine Learning Model Predicts Recurrent Clostridioides difficile Infection in Patients With Inflammatory Bowel Disease (Recur CDI-IBD)

2026 · Raseen Tariq, Ankita Sethi, et al. · The American Journal of Gastroenterology · 4

Gastrointestinal Endoscopic Image Classification using a Novel Wavelet Decomposition Based Deep Learning Algorithm

2023 · Ankita Sethi, Shivam Damani, et al. · IEEE International Conference on Electro Information Technology · 3

114 Predicting Bowel Surgery in Inflammatory Bowel Disease Patients With C. Difficile Infection: a Dynamic Machine Learning Approach Using Ehr Data

2024 · Raseen Tariq, Ankita Sethi, et al. · Gastroenterology

755 Employing Automated Machine Learning to Predict Bowel Surgery Risk in Ibd Patients Post-cdi: a Comprehensive Analysis

2024 · Raseen Tariq, Ankita Sethi, et al. · Gastroenterology

S206 Predicting Recurrent C. difficile Infection in IBD Patients: An Application of AutoML Tabular and Text Classification Models on Electronic Health Records and Clinical Notes

2023 · Raseen Tariq, Ankita Sethi, et al. · The American Journal of Gastroenterology

S207 Predictive Machine Learning Models for Recurrent C. difficile Infection in Inflammatory Bowel Disease Patients Based on First-Episode CDI Treatment

2023 · Raseen Tariq, Ankita Sethi, et al. · The American Journal of Gastroenterology

S208 A Machine Learning Model for Predicting Recurrent C. difficile Infection in Patients With Inflammatory Bowel Disease (Recur CDI-IBD)

2023 · Raseen Tariq, Ankita Sethi, et al. · The American Journal of Gastroenterology

Works count: 7

Citation count: 7

H-index: 2

I10-index: