Jacob M Desman - Institute for Computational Medicine, Johns Hopkins University

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论文共 16 篇作者统计合作学者相似作者

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NutriSighT: Interpretable Transformer Model for Dynamic Prediction of Hypocaloric Enteral Nutrition in Mechanically Ventilated Patients

Mateen Jangda,Jayshil Patel, Jaskirat Gill,Paul McCarthy,Jacob Desman, Rohit Gupta, Dhruv Patel, Nidhi Kavi, Shruti Bakare,Eyal Klang,Robert Freeman, Anthony Manasia,John Oropello,Lili Chan, Mayte Suarez-Farinas,Alexander W Charney,Roopa Kohli-Seth,Girish N Nadkarni,Ankit Sakhuja

medRxiv the preprint server for health sciences（2025）

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A Distributional Reinforcement Learning Model for Optimal Glucose Control after Cardiac Surgery

Jacob M Desman,Zhang-Wei Hong, Moein Sabounchi,Ashwin S Sawant, Jaskirat Gill, Ana C Costa,Gagan Kumar, Rajeev Sharma, Arpeta Gupta,Paul McCarthy,Veena Nandwani, Doug Powell, Alexandra Carideo, Donnie Goodwin,Sanam Ahmed,Umesh Gidwani,Matthew A Levin, Robin Varghese, Farzan Filsoufi,Robert Freeman, Avniel Shetreat-Klein,Alexander W Charney,Ira Hofer,Lili Chan,David Reich,Patricia Kovatch,Roopa Kohli-Seth, Monica Kraft,Pulkit Agrawal,John A Kellum,Girish N Nadkarni,Ankit Sakhuja

NPJ digital medicineno. 1 (2025): 313-313

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Derivation, External Validation and Clinical Implications of a Deep Learning Approach for Intracranial Pressure Estimation Using Non-Cranial Waveform Measurements

Faris Gulamali,Pushkala Jayaraman,Ashwin S Sawant,Jacob Desman,Benjamin Fox,Annie Chang,Brian Y Soong, Naveen Arivazaghan,Alexandra S Reynolds,Son Q Duong,Akhil Vaid,Patricia Kovatch,Robert Freeman,Ira S Hofer,Ankit Sakhuja,Neha S Dangayach,David S Reich,Alexander W Charney,Girish N Nadkarni

medRxiv the preprint server for health sciences (2024)

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Derivation, External and Clinical Validation of a Deep Learning Approach for Detecting Intracranial Hypertension

Faris Gulamali,Pushkala Jayaraman,Ashwin S. Sawant,Jacob Desman,Benjamin Fox, Annette Chang,Brian Y. Soong, Naveen Arivazagan,Alexandra S. Reynolds,Son Q. Duong,Akhil Vaid,Patricia Kovatch,Robert Freeman,Ira S. Hofer,Ankit Sakhuja,Neha S. Dangayach,David S. Reich,Alexander W. Charney,Girish N. Nadkarni

NPJ DIGITAL MEDICINEno. 1 (2024)

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154: MACHINE LEARNING-GUIDED SUBPHENOTYPING OF CRITICALLY ILL PATIENTS AFTER CARDIAC SURGERY

Jacob Desman,Paul McCarthy,Mekeleya Yimen,Gordon Smith,Roopa Kohli-Seth,Girish Nadkarni,Ankit Sakhuja

CRITICAL CARE MEDICINE (2024)

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A Primer on Reinforcement Learning in Medicine for Clinicians

Pushkala Jayaraman,Jacob Desman, Moein Sabounchi,Girish N Nadkarni,Ankit Sakhuja

npj Digit Medicine（2024）

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Deep Discriminative to Kernel Density Graph for In- and Out-of-distribution Calibrated Inference

Jayanta Dey,Haoyin Xu,Will LeVine,Ashwin De Silva,Tyler M. Tomita,Ali Geisa, Tiffany Chu,Jacob Maxwell Desman,Joshua T Vogelstein

NEURIPS 2024 (2024)

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1319: MACHINE LEARNING-GUIDED EARLY PREDICTION OF PERSISTENT ACUTE KIDNEY INJURY AFTER CARDIAC SURGERY

Mateen Jangda,Jacob Desman,Kullaya Takkavatakarn,Mekeleya Yimen,Gagan Kumar,Paul McCarthy,Roopa Kohli-Seth,Girish Nadkarni,Ankit Sakhuja

CRITICAL CARE MEDICINE (2024)

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Factors Associated with Resistance to SARS-CoV-2 Infection Discovered Using Large-Scale Medical Record Data and Machine Learning

Kai-Wen K. Yang, Chloe F. H. Paris, Kevin T. Gorman,Ilia M. Rattsev, Rebecca H. Y. Yoo, Yijia L. Chen,Jacob M. Desman,Tony Y. C. Wei,Joseph L. Greenstein,Casey Overby Taylor,Stuart C. Ray

PLoS ONE（2023）

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60: PREDICTING CARDIAC ARREST IN THE PEDIATRIC INTENSIVE CARE UNIT USING MACHINE LEARNING

Adam Kenet,Rahul Pemmaraju,Sejal Ghate,Shreeya Raghunath, Yifan Zhang,Mordred Yuan,Tony Wei,Jacob Desman,Joseph Greenstein, Casey Taylor,Timothy Ruchti,Jim Fackler,Jules Bergmann

CRITICAL CARE MEDICINEno. 1 (2023): 30-30

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