Ritankar Das - Publications, H-index & Citations

Ritankar Das

Marshall University

30H指数

101论文数

4.1K被引数

收录论文 30

发表时间

Generative Intelligence Explores Chemical Space at Ten Million Catalysts 生成式智能探索千万催化剂的化学空间

chem. sci.

IF0

2026-05-15

OAAI

Ruili Li; Shuoqi Zhang; Qingli Tang; Qingqing Mao; Ritankar Das; Rui Qi; Beien Zhu; Yi Gao

OpenMedLM: prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models OpenMedLM：在使用开源大型语言模型进行医学问答任务时，提示工程的表现可优于微调

SCIENTIFIC REPORTS

IF3.9

2024-06-19

OAAI

Maharjan, Jenish; Garikipati, Anurag; Singh, Navan Preet; Cyrus, Leo; Sharma, Mayank; Ciobanu, Madalina; Barnes, Gina; Thapa, Rahul; Mao, Qingqing; Das, Ritankar

Machine Learning Approach with Harmonized Multinational Datasets for Enhanced Prediction of Hypothyroidism in Patients with Type 2 Diabetes 基于协调多国数据集的机器学习方法可增强2型糖尿病患者甲状腺功能减退的预测

DIAGNOSTICS

IF3.3

2024-05-31

OAAI

Adelson, Robert P.; Garikipati, Anurag; Zhou, Yunfan; Ciobanu, Madalina; Tawara, Ken; Barnes, Gina; Singh, Navan Preet; Mao, Qingqing; Das, Ritankar

Family-Centric Applied Behavior Analysis Facilitates Improved Treatment Utilization and Outcomes

JOURNAL OF CLINICAL MEDICINE

IF2.9

2024-04-20

OAAI

Adelson, Robert P.; Ciobanu, Madalina; Garikipati, Anurag; Castell, Natalie J.; Singh, Navan Preet; Barnes, Gina; Rumph, Jodi Kim; Mao, Qingqing; Roane, Henry S.; Vaish, Anshu; Das, Ritankar

Machine Learning Approach for Improved Longitudinal Prediction of Progression from Mild Cognitive Impairment to Alzheimer's Disease 机器学习方法用于改善从轻度认知障碍到阿尔茨海默病进展的纵向预测

DIAGNOSTICS

IF3.3

2023-12-20

OAAI

Adelson, Robert P.; Garikipati, Anurag; Maharjan, Jenish; Ciobanu, Madalina; Barnes, Gina; Singh, Navan Preet; Dinenno, Frank A.; Mao, Qingqing; Das, Ritankar

Machine Learning Differentiation of Autism Spectrum Sub-Classifications

JOURNAL OF AUTISM AND DEVELOPMENTAL DISORDERS

IF2.8

2023-09-26

OAAI

Thapa, R.; Garikipati, A.; Ciobanu, M.; Singh, Np; Browning, E.; Decurzio, J.; Barnes, G.; Dinenno, F. A.; Mao, Q.; Das, R.

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

JMIR AGING

IF4.8

2022-04-01

OAAI

Thapa, Rahul; Garikipati, Anurag; Shokouhi, Sepideh; Hurtado, Myrna; Barnes, Gina; Hoffman, Jana; Calvert, Jacob; Katzmann, Lynne; Mao, Qingqing; Das, Ritankar

Early prediction of central line associated bloodstream infection using machine learning

AMERICAN JOURNAL OF INFECTION CONTROL

IF2.4

2022-04-01

OAAI

Rahmani, Keyvan; Garikipati, Anurag; Barnes, Gina; Hoffman, Jana; Calvert, Jacob; Mao, Qingqing; Das, Ritankar

A comparative analysis of machine learning approaches to predict C. difficile infection in hospitalized patients

AMERICAN JOURNAL OF INFECTION CONTROL

IF2.4

2022-03-01

PREAI

Panchavati, Saarang; Zelin, Nicole S.; Garikipati, Anurag; Pellegrini, Emily; Iqbal, Zohora; Barnes, Gina; Hoffman, Jana; Calvert, Jacob; Mao, Qingqing; Das, Ritankar

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

BMJ OPEN DIABETES RESEARCH & CARE

IF4.1

2022-01-19

OAAI

Allen, Angier; Iqbal, Zohora; Green-Saxena, Abigail; Hurtado, Myrna; Hoffman, Jana; Mao, Qingqing; Das, Ritankar

Personalized stratification of hospitalization risk amidst COVID-19: A machine learning approach

health policy

IF3.7

2021-09-01

OAAI

Lam, Carson; Calvert, Jacob; Siefkas, Anna; Barnes, Gina; Pellegrini, Emily; Green-Saxena, Abigail; Hoffman, Jana; Mao, Qingqing; Das, Ritankar

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

JMIR PUBLIC HEALTH AND SURVEILLANCE

IF3.9

2021-06-03

OAAI

Tso, Chak Foon; Garikipati, Anurag; Green-Saxena, Abigail; Mao, Qingqing; Das, Ritankar

Machine Learning as a Precision-Medicine Approach to Prescribing COVID-19 Pharmacotherapy with Remdesivir or Corticosteroids 机器学习作为一种精密医学方法，用于使用Remdesivir或皮质类固醇处方新型冠状病毒肺炎药物治疗

CLINICAL THERAPEUTICS

IF3.6

2021-05-01

OAAI

Lam, Carson; Siefkas, Anna; Zelin, Nicole S.; Barnes, Gina; Dellinger, R. Phillip; Vincent, Jean-Louis; Braden, Gregory; Burdick, Hoyt; Hoffman, Jana; Calvert, Jacob; Mao, Qingqing; Das, Ritankar

Convolutional Neural Network Model for Intensive Care Unit Acute Kidney Injury Prediction

KIDNEY INTERNATIONAL REPORTS

IF5.7

2021-05-01

OAAI

Le, Sidney; Allen, Angier; Calvert, Jacob; Palevsky, Paul M.; Braden, Gregory; Patel, Sharad; Pellegrini, Emily; Green-Saxena, Abigail; Hoffman, Jana; Das, Ritankar

Prediction of short-term mortality in acute heart failure patients using minimal electronic health record data

BIODATA MINING

IF6.1

2021-03-31

OAAI

Radhachandran, Ashwath; Garikipati, Anurag; Zelin, Nicole S.; Pellegrini, Emily; Ghandian, Sina; Calvert, Jacob; Hoffman, Jana; Mao, Qingqing; Das, Ritankar

Supervised machine learning for the early prediction of acute respiratory distress syndrome (ARDS)用于急性呼吸窘迫综合征早期预测 (ARDS) 的监督机器学习

JOURNAL OF CRITICAL CARE

IF2.9

2020-12-01

OAAI

Le, Sidney; Pellegrini, Emily; Green-Saxena, Abigail; Summers, Charlotte; Hoffman, Jana; Calvert, Jacob; Das, Ritankar

Is Machine Learning a Better Way to Identify COVID-19 Patients Who Might Benefit from Hydroxychloroquine Treatment?-The IDENTIFY Trial

JOURNAL OF CLINICAL MEDICINE

IF2.9

2020-11-26

OAAI

Burdick, Hoyt; Lam, Carson; Mataraso, Samson; Siefkas, Anna; Braden, Gregory; Dellinger, R. Phillip; McCoy, Andrea; Vincent, Jean-Louis; Green-Saxena, Abigail; Barnes, Gina; Hoffman, Jana; Calvert, Jacob; Pellegrini, Emily; Das, Ritankar

A Machine Learning Approach to Acute Heart Failure Risk Stratification

CIRCULATION

IF38.6

2020-11-17

PREAI

Ghandian, Sina; Mataraso, Samson; Pellegrini, Emily; Lynn-Palevsky, Anna; Barnes, Gina; Saxena, Abigail Green; Hoffman, Jana; Calvert, Jacob; Das, Ritankar

Validation of a machine learning algorithm for early severe sepsis prediction: a retrospective study predicting severe sepsis up to 48 h in advance using a diverse dataset from 461 US hospitals

BMC MEDICAL INFORMATICS AND DECISION MAKING

IF3.8

2020-10-27

OAAI

Burdick, Hoyt; Pino, Eduardo; Gabel-Comeau, Denise; Gu, Carol; Roberts, Jonathan; Le, Sidney; Slote, Joseph; Saber, Nicholas; Pellegrini, Emily; Green-Saxena, Abigail; Hoffman, Jana; Das, Ritankar

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

JMIR PUBLIC HEALTH AND SURVEILLANCE

IF3.9

2020-10-22

OAAI

Allen, Angier; Mataraso, Samson; Siefkas, Anna; Burdick, Hoyt; Braden, Gregory; Dellinger, R. Phillip; McCoy, Andrea; Pellegrini, Emily; Hoffman, Jana; Green-Saxena, Abigail; Barnes, Gina; Calvert, Jacob; Das, Ritankar

研究方向