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Author Details
Full Name
Logan Ward
Affiliation
Joint Center for Energy Storage Research (JCESR), Argonne National Laboratory
ORCID
Career Start Year
2011
Papers
25
H Index
8
Expertise
CM4AI Collaborator
PMID
Paper Title
Journal Title
Published Year
37474597
Predicting sepsis onset using a machine learned causal probabilistic network algorithm based on electronic health records data.
Sci Rep
2023
37556138
Prehospital Early Warning Scores to Predict Mortality in Patients Using Ambulances.
JAMA Netw Open
2023
35850287
Machine-Learning Model for Mortality Prediction in Patients With Community-Acquired Pneumonia: Development and Validation Study.
Chest
2023
37406209
Accurate Prediction of Adiabatic Ionization Potentials of Organic Molecules using Quantum Chemistry Assisted Machine Learning.
J Phys Chem A
2023
34406170
Peripheral Oxygen Saturation Facilitates Assessment of Respiratory Dysfunction in the Sequential Organ Failure Assessment Score With Implications for the Sepsis-3 Criteria.
Crit Care Med
2022
35786965
Improving the Accuracy of Composite Methods: A G4MP2 Method with G4-like Accuracy and Implications for Machine Learning.
J Phys Chem A
2022
36451881
GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics.
bioRxiv
2022
34191512
Graph-Based Approaches for Predicting Solvation Energy in Multiple Solvents: Open Datasets and Machine Learning Models.
J Phys Chem A
2021
33908789
Automated Development of Molten Salt Machine Learning Potentials: Application to LiCl.
J Phys Chem Lett
2021
33608599
Enabling deeper learning on big data for materials informatics applications.
Sci Rep
2021
34852489
Quantum Chemistry Common Driver and Databases (QCDB) and Quantum Chemistry Engine (QCEngine): Automation and interoperability among computational chemistry programs.
J Chem Phys
2021
34527701
Models and Processes to Extract Drug-like Molecules From Natural Language Text.
Front Mol Biosci
2021
34425790
A comparison of predictors for mortality and bacteraemia in patients suspected of infection.
BMC Infect Dis
2021
32539388
Quantum-Chemically Informed Machine Learning: Prediction of Energies of Organic Molecules with 10 to 14 Non-hydrogen Atoms.
J Phys Chem A
2020
32029574
Validation of automated sepsis surveillance based on the Sepsis-3 clinical criteria against physician record review in a general hospital population: observational study using electronic health records data.
BMJ Qual Saf
2020
32496755
A High-Throughput Structural and Electrochemical Study of Metallic Glass Formation in Ni-Ti-Al.
ACS Comb Sci
2020
31079313
Clinical- vs. model-based selection of patients suspected of sepsis for direct-from-blood rapid diagnostics in the emergency department: a retrospective study.
Eur J Clin Microbiol Infect Dis
2019
29662953
Accelerated discovery of metallic glasses through iteration of machine learning and high-throughput experiments.
Sci Adv
2018
30514926
ElemNet: Deep Learning the Chemistry of Materials From Only Elemental Composition.
Sci Rep
2018
27833000
Automatic learning of mortality in a CPN model of the systemic inflammatory response syndrome.
Math Biosci
2017
26317197
Three new crystal structures in the Na-Pb system: solving structures without additional experimental input.
Acta Crystallogr A Found Adv
2015
22401328
Stochastic targeted (STAR) glycemic control: design, safety, and performance.
J Diabetes Sci Technol
2012
22401331
Data entry errors and design for model-based tight glycemic control in critical care.
J Diabetes Sci Technol
2012
22401330
Interface design and human factors considerations for model-based tight glycemic control in critical care.
J Diabetes Sci Technol
2012
21929821
Pilot proof of concept clinical trials of Stochastic Targeted (STAR) glycemic control.
Ann Intensive Care
2011
1 - 25 of 25
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Karolinska Institutet
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Mayo Clinic
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Co-authored papers
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Karolinska Institutet
Co-authored papers
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Karolinska University Hospital
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University of Chicago
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1
Anders F Johansson
Umea University
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James J Davis
University of Chicago
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