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Ritankar Das

8PUBLICATIONS

35CO-AUTHORS

Child and adolescent developmentEpidemiological modellingDeep learningComputational complexity and computabilityMedical molecular engineering of nucleic acids and proteins

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Publications (8)

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|Oct 30, 2024

Parent-Led Applied Behavior Analysis to Impact Clinical Outcomes for Individuals on the Autism Spectrum: Retrospective Chart Review.

Anurag Garikipati, Madalina Ciobanu, Navan Preet Singh

|Apr 01, 2022

Predicting Falls in Long-term Care Facilities: Machine Learning Study.

Rahul Thapa, Anurag Garikipati, Sepideh Shokouhi

|Jan 20, 2022

Prediction of diabetic kidney disease with machine learning algorithms, upon the initial diagnosis of type 2 diabetes mellitus.

Angier Allen, Zohora Iqbal, Abigail Green-Saxena

|Aug 16, 2021

Semisupervised Deep Learning Techniques for Predicting Acute Respiratory Distress Syndrome From Time-Series Clinical Data: Model Development and Validation Study.

Carson Lam, Chak Foon Tso, Abigail Green-Saxena

|May 17, 2021

Correlation of Population SARS-CoV-2 Cycle Threshold Values to Local Disease Dynamics: Exploratory Observational Study.

Chak Foon Tso, Anurag Garikipati, Abigail Green-Saxena

|Oct 22, 2020

A Racially Unbiased, Machine Learning Approach to Prediction of Mortality: Algorithm Development Study.

Angier Allen, Samson Mataraso, Anna Siefkas

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Frequent Collaborators

5 joint publications

Jana Hoffman

5 joint publications

Qingqing Mao

4 joint publications

Jacob Calvert

4 joint publications

Abigail Green-Saxena

3 joint publications

Anurag Garikipati

3 joint publications

Gina Barnes

2 joint publications

Zohora Iqbal

2 joint publications

Chak Foon Tso

2 joint publications

Emily Pellegrini

2 joint publications

Angier Allen

Frequent Collaborators

5 joint publications

Jana Hoffman

5 joint publications

Qingqing Mao

4 joint publications

Jacob Calvert

4 joint publications

Abigail Green-Saxena

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