publications
100+ total publications
2024
Family-Centric Applied Behavior Analysis Facilitates Improved Treatment Utilization and Outcomes
RP Adelson, RP Adelson, M Ciobanu, A Garikipati, NJ Castell, NP Singh, G Barnes, ... Journal of Clinical Medicine 13 (8), 2409
OpenMedLM: Prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models
A Garikipati, J Maharjan, NP Singh, L Cyrus, M Sharma, M Ciobanu, ... AAAI 2024 Spring Symposium on Clinical Foundation Models
2023
Machine Learning Approach for Improved Longitudinal Prediction of Progression from Mild Cognitive Impairment to Alzheimer’s Disease
RP Adelson, A Garikipati, J Maharjan, M Ciobanu, G Barnes, NP Singh, ... Diagnostics 14 (1), 13
Machine Learning Differentiation of Autism Spectrum Sub-Classifications
R Thapa, A Garikipati, M Ciobanu, NP Singh, E Browning, J DeCurzio, ... Journal of Autism and Developmental Disorders, 1-16
Clinical Outcomes of a Hybrid Model Approach to Applied Behavioral Analysis Treatment
A Garikipati, M Ciobanu, NP Singh, G Barnes, J Decurzio, Q Mao, R Das Cureus 15 (3)
Machine Learning Differentiation of Autism Spectrum Sub
R Thapa, A Garikipati, M Ciobanu, NP Singh, E Browning, J DeCurzio, ... Journal of Autism and Developmental Disorders, 1-16
Machine learning determination of applied behavioral analysis treatment plan type
Published in Brain Inform . 2023 Mar 2;10(1):7. doi: 10.1186/s40708-023-00186-8.
2022
Systems and methods for automatically identifying a candidate patient for enrollment in a clinical trial
R Das, JS Calvert, SJ Mataraso US Patent App. 17/022,986
Systems and methods for automatically notifying a caregiver that a patient requires medical intervention
R Das, JS Calvert, SJ Mataraso US Patent App. 17/022,951
Mortality, disease progression, and disease burden of acute kidney injury in alcohol use disorder subpopulation
J Maharjan, S Le, A Green-Saxena, M Khattar, J Calvert, E Pellegrini, ... The American Journal of the Medical Sciences 364 (1), 46-52
Early prediction of central line associated bloodstream infection using machine learning
Published in Am J Infect Control. 2022 Apr;50(4):440-445. doi: 10.1016/j.ajic.2021.08.017. Epub 2021 Aug 21.
Predicting falls in long-term care facilities: machine learning study
Published in JMIR Aging . 2022 Apr 1;5(2):e35373. doi: 10.2196/35373.
Machine learning to predict progression of non‐alcoholic fatty liver to non‐alcoholic steatohepatitis or fibrosis
Published in JGH Open. 2022 Mar.
A comparative analysis of machine learning approaches to predict C. difficile infection in hospitalized patients
Published in Am J Infect Control. 2022 Mar;50(3):250-257. doi: 10.1016/j.ajic.2021.11.012. Epub 2022 Jan 20.
Enriching the study population for ischemic stroke therapeutic trials using a machine learning algorithm
Published in Front Neurol. 2022 Jan 25;12:784250. doi: 10.3389/fneur.2021.784250. eCollection 2021.
Predicting pulmonary embolism among hospitalized patients with machine learning algorithms
Published in Pulm Circ. 2022 Jan 11;12(1):e12013. doi: 10.1002/pul2.12013. eCollection 2022 Jan.
Early prediction of severe acute pancreatitis using machine learning
Published in Pancreatology. 2022 Jan;22(1):43-50. doi: 10.1016/j.pan.2021.10.003. Epub 2021 Oct 16.
Prediction of diabetic kidney disease with machine learning algorithms, upon the initial diagnosis of type 2 diabetes mellitus
Published in BMJ Open Diabetes Res Care. 2022 Jan;10(1):e002560. doi: 10.1136/bmjdrc-2021-002560.
2021
Prediction of short-term mortality in acute heart failure patients using minimal electronic health record data
Published in BioData Min. 2021 Mar 31;14(1):23. doi: 10.1186/s13040-021-00255-w.
Retrospective validation of a machine learning clinical decision support tool for myocardial infarction risk stratification
Published in Healthc Technol Lett. 2021 Aug 31;8(6):139-147. doi: 10.1049/htl2.12017. eCollection 2021 Dec.
Application of deep learning to identify COVID-19 infection in posteroanterior chest X-rays
Published in Clin Imaging. 2021 Dec;80:268-273. doi: 10.1016/j.clinimag.2021.07.004. Epub 2021 Jul 24.
A machine learning approach to predicting risk of myelodysplastic syndrome
Published in Leuk Res. 2021 Oct;109:106639. doi: 10.1016/j.leukres.2021.106639. Epub 2021 Jun 8.
Semisupervised deep learning techniques for predicting acute respiratory distress syndrome from time-series clinical data: model development and validation study
Published in JMIR Form Res. 2021 Sep 14;5(9):e28028. doi: 10.2196/28028.
Semisupervised Deep Learning Techniques for Predicting Acute Respiratory Distress Syndrome From Time-Series Clinical Data: Model Development and Validation Study.
Published in JMIR Formative Research. 2021 Sep 14
Personalized stratification of hospitalization risk amidst COVID-19: A machine learning approach
Published in Health Policy Technol. 2021 Sep;10(3):100554. doi: 10.1016/j.hlpt.2021.100554. Epub 2021 Aug 4.
A Gradient-Boosted Decision-Tree Algorithm for the Prediction of Short-Term Mortality in Acute Heart Failure Patients
Published in Cardiovascular Revascularization Medicine. 2021 Jul 1
A Machine-Learning Clinical Decision Support Tool for Myocardial Infarction Diagnosis
Published in Cardiovascular Revascularization Medicine. 2021 Jul 1
A digital twins machine learning model for forecasting disease progression in stroke patients
Published in Applied Sciences. 2021 Jun 16
Predicting ventilator-associated pneumonia with machine learning
Published in Medicine (Baltimore). 2021 Jun 11;100(23):e26246. doi: 10.1097/MD.0000000000026246.
Correlation of population SARS-CoV-2 cycle threshold values to local disease dynamics: exploratory observational study
Published in JMIR Public Health Surveill. 2021 Jun 3;7(6):e28265. doi: 10.2196/28265.
Deep Learning with Diverse Objectives Improves ARDS Prediction
Published on 2021 May 21
A Machine Learning Clinical Decision Support Tool for Myocardial Infarction Diagnosis
Published on Journal of the American College of Cardiology. 2021 May 11
Machine Learning Algorithms to Identify Patients at Risk of Ventilator-Associated Pneumonia
Published in TP54. TP054 MECHANICAL VENTILATION. 2021 May
A machine learning approach to precision medicine for COVID-19 therapeutics
Published in TP91. TP091 Epidemiology and Translational Advances in SARS-COV-2. 2021 May
Machine learning as a precision-medicine approach to prescribing COVID-19 pharmacotherapy with remdesivir or corticosteroids
Published in Clin Ther. 2021 May;43(5):871-885. doi: 10.1016/j.clinthera.2021.03.016. Epub 2021 Mar 29.
Convolutional neural network model for intensive care unit acute kidney injury prediction
Published in Kidney Int Rep. 2021 Feb 26;6(5):1289-1298. doi: 10.1016/j.ekir.2021.02.031. eCollection 2021 May.
Sa102 A machine learning algorithm to predict gastrointestinal bleeding requiring intervention
Published in Gastroenterology. 2021 May 1
COVID-19 Evidence Accelerator: A parallel analysis to describe the use of Hydroxychloroquine with or without Azithromycin among hospitalized COVID-19 patients
Published in PLoS One. 2021 Mar 17;16(3):e0248128. doi: 10.1371/journal.pone.0248128. eCollection 2021.
A machine learning approach to predict deep venous thrombosis among hospitalized patients
Published in Clin Appl Thromb Hemost. 2021 Jan-Dec;27:1076029621991185. doi: 10.1177/1076029621991185.
An exploratory study on the correlation of population SARS-CoV-2 cycle threshold values to local disease dynamics
Published JMIR Public Health Surveill. 2021 Jun 3;7(6):e28265. doi: 10.2196/28265.
25:Convolutional Neural Network Model for ICU Acute Kidney Injury Prediction
Published in Kidney International Reports. 2021 May 1
Predicting Pulmonary Embolism Among Hospitalized Patients With a Machine Learning Algorithm
Published in Pulm Circ. 2022 Jan 11;12(1):e12013. doi: 10.1002/pul2.12013. eCollection 2022 Jan.
1069: Enriching the Study Population for Ischemic Stroke Therapeutic Trials Using Machine Learning
Front Neurol. 2022 Jan 25;12:784250. doi: 10.3389/fneur.2021.784250. eCollection 2021.
2020
Supervised machine learning for the early prediction of acute respiratory distress syndrome (ARDS)
Published in J Crit Care. 2020 Dec;60:96-102. doi: 10.1016/j.jcrc.2020.07.019. Epub 2020 Jul 24.
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
Published in BMC Med Inform Decis Mak. 2020 Oct 27;20(1):276. doi: 10.1186/s12911-020-01284-x.
Is Machine Learning a Better Way to Identify COVID-19 Patients Who Might Benefit from Hydroxychloroquine Treatment?—The IDENTIFY Trial
Published in J Clin Med. 2020 Nov 26;9(12):3834. doi: 10.3390/jcm9123834.
A Machine Learning Approach to Acute Heart Failure Risk Stratification
Published in Circulation. 2020 Nov 17
Mortality prediction model for the triage of COVID-19, pneumonia, and mechanically ventilated ICU patients: A retrospective study
Published in Ann Med Surg (Lond). 2020 Nov;59:207-216. doi: 10.1016/j.amsu.2020.09.044. Epub 2020 Oct 3.
A racially unbiased, machine learning approach to prediction of mortality: algorithm development study
Published in JMIR Public Health Surveill. 2020 Oct 22;6(4):e22400. doi: 10.2196/22400.
Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trial
Published in Comput Biol Med. 2020 Sep;124:103949. doi: 10.1016/j.compbiomed.2020.103949. Epub 2020 Aug 6.
Multicenter validation of a machine-learning algorithm for 48-h all-cause mortality prediction
Published in Health Informatics J. 2020 Sep;26(3):1912-1925. doi: 10.1177/1460458219894494. Epub 2019 Dec 30.
How Does the Novel Coronavirus Kill? A Machine Learning Approach
Published in A Machine Learning Approach. 2020 May 29
Improved Performance of Sepsis Prediction Algorithm with Addition of Monocyte Distribution Width and White Blood Cell Count Inputs
Published in B45. CRITICAL CARE: SEPSIS IDENTIFICATION AND MANAGEMENT. 2020 May
Mortality, disease progression, and disease burden of acute kidney injury in alcohol use disorder subpopulation
Published in Am J Med Sci. 2022 Jul;364(1):46-52. doi: 10.1016/j.amjms.2022.01.004. Epub 2022 Jan 23.
Pattern and Rule Mining for Identifying Signatures of Epileptic Patients from Clinical EEG Data
Published in Fundamenta Informaticae. 2020 Jan 1
24: effects of monocyte distribution width and white blood cell count on a sepsis prediction algorithm
Published in Critical Care Medicine. 2020 Jan 1
Effect of a sepsis prediction algorithm on patient mortality, length of stay and readmission: a prospective multicentre clinical outcomes evaluation of real-world patient data…
Published in BMJ Health Care Inform. 2020 Apr;27(1):e100109. doi: 10.1136/bmjhci-2019-100109.
2019
Evaluation of a machine learning algorithm for up to 48-hour advance prediction of sepsis using six vital signs
Published in Comput Biol Med. 2019 Jun;109:79-84. doi: 10.1016/j.compbiomed.2019.04.027. Epub 2019 Apr 24.
Machine-learning-based laboratory developed test for the diagnosis of sepsis in high-risk patients
Published in Diagnostics (Basel). 2019 Feb 13;9(1):20. doi: 10.3390/diagnostics9010020.
Two-Class in Silico Categorization of Intermediate Epileptic EEG Data
Published in Pattern Recognition and Machine Intelligence: 8th International Conference, PReMI 2019, Tezpur, India, December 17-20, 2019, Proceedings, Part II. 2019
2018
Computational neuroscience and neuroinformatics: Recent progress and resources
Published in J Biosci. 2018 Dec;43(5):1037-1054.
Effect of a sepsis prediction algorithm on patient mortality, length of stay, and readmission
Published BMJ Health Care Inform. 2020 Apr;27(1):e100109. doi: 10.1136/bmjhci-2019-100109.
Prediction of acute kidney injury with a machine learning algorithm using electronic health record data
Published in Can J Kidney Health Dis. 2018 Jun 8;5:2054358118776326. doi: 10.1177/2054358118776326. eCollection 2018.
Predicting patient mortality: using machine learning to identify at-risk patients and improve outcomes
Published in B104. Critical Care: Big Data in Health care-predictive Analytics, Clinical Decision Support, and Rapid Response. 2018 May
Predicting pediatric severe sepsis with machine learning techniques
Published in Front Pediatr. 2019 Oct 11;7:413. doi: 10.3389/fped.2019.00413. eCollection 2019.
1430: Effect of a machine learning-based severe sepsis prediction algorithm on patient survival
Published in Critical Care Medicine. 2018 Jan 1
Multicentre validation of a sepsis prediction algorithm using only vital sign data in the emergency department, general ward and ICU
Published in BMJ Open. 2018 Jan 26;8(1):e017833. doi: 10.1136/bmjopen-2017-017833.
2017
Evaluating a sepsis prediction machine learning algorithm in the emergency department and intensive care unit: a before and after comparative study
Published in BioRxiv 2017 Nov 28
Pediatric severe sepsis prediction using machine learning
Published in Front Pediatr. 2019 Oct 11;7:413. doi: 10.3389/fped.2019.00413. eCollection 2019.
Effect of a Machine Learning-Based Severe Sepsis Prediction Algorithm on Patient Survival and Hospital Length of Stay
Published in Circulation. 2017 Nov 14
Effect of a machine learning-based severe sepsis prediction algorithm on patient survival and hospital length of stay: a randomised clinical trial
Published in BMJ Open Respir Res. 2017 Nov 9;4(1):e000234. doi: 10.1136/bmjresp-2017-000234. eCollection 2017.
Reducing patient mortality, length of stay and readmissions through machine learning-based sepsis prediction in the emergency department, intensive care unit and hospital floor units
Published in BMJ Open Qual . 2017 Oct 25;6(2):e000158. doi: 10.1136/bmjoq-2017-000158. eCollection 2017.
Prediction of early unplanned intensive care unit readmission in a UK tertiary care hospital: a cross-sectional machine learning approach
Published in BMJ Open. 2017 Sep 15;7(9):e017199. doi: 10.1136/bmjopen-2017-017199.
Machine learning landscapes and predictions for patient outcomes
Published in R Soc Open Sci. 2017 Jul 26;4(7):170175. doi: 10.1098/rsos.170175. eCollection 2017 Jul.
Using transfer learning for improved mortality prediction in a data-scarce hospital setting
Published in Biomed Inform Insights. 2017 Jun 12;9:1178222617712994. doi: 10.1177/1178222617712994. eCollection 2017.
Cost and mortality impact of an algorithm-driven sepsis prediction system
Published in J Med Econ. 2017 Jun;20(6):646-651. doi: 10.1080/13696998.2017.1307203. Epub 2017 Apr 3.
Discharge recommendation based on a novel technique of homeostatic analysis
Published in J Am Med Inform Assoc. 2017 Jan;24(1):24-29. doi: 10.1093/jamia/ocw014. Epub 2016 Mar 28.
ESICM LIVES 2017: 30th ESICM Annual Congress. September 23-27, 2017.
Intensive Care Med Exp. 2017 Sep;5(Suppl 2):44. doi: 10.1186/s40635-017-0151-4.
Feature selection and fuzzy rule mining for epileptic patients from clinical EEG data
Published in Pattern Recognition and Machine Intelligence: 7th International Conference, PReMI 2017, Kolkata, India, December 5-8, 2017, Proceedings 7. 2017
Machine learning prediction for classification of outcomes in local minimisation
Published in Chemical Physics Letters. 2017 Jan 1
Energy landscapes for machine learning
Published in Physical Chemistry Chemical Physics. 2017
2016
Using electronic health record collected clinical variables to predict medical intensive care unit mortality
Published in Ann Med Surg (Lond). 2016 Sep 6;11:52-57. doi: 10.1016/j.amsu.2016.09.002. eCollection 2016 Nov.
Prediction of sepsis in the intensive care unit with minimal electronic health record data: a machine learning approach
Published in JMIR Med Inform. 2016 Sep 30;4(3):e28. doi: 10.2196/medinform.5909.
A computational approach to mortality prediction of alcohol use disorder inpatients
Published in Comput Biol Med. 2016 Aug 1;75:74-9. doi: 10.1016/j.compbiomed.2016.05.015. Epub 2016 May 24.
A computational approach to early sepsis detection
Published in Comput Biol Med. 2016 Jul 1;74:69-73. doi: 10.1016/j.compbiomed.2016.05.003. Epub 2016 May 12.
Energy landscapes for a machine-learning prediction of patient discharge
Published in Phys Rev E. 2016 Jun;93(6):063310. doi: 10.1103/PhysRevE.93.063310. Epub 2016 Jun 17.
High-performance detection and early prediction of septic shock for alcohol-use disorder patients
Published in Ann Med Surg (Lond). 2016 May 10;8:50-5. doi: 10.1016/j.amsu.2016.04.023. eCollection 2016 Jun.
Energy landscapes for a machine learning application to series data
Published in J Chem Phys. 2016 Mar 28;144(12):124119. doi: 10.1063/1.4944672.
Research data supporting" Energy Landscapes for a Machine Learning Application to Series Data"
Published on 2016 Mar 14