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Pharmacological risk factors associated with hospital readmission rates in a psychiatric cohort identified using prescriptome data mining.

K. Shameer, M. Perez-Rodriguez, R. Bachar, L. Li, A. Johnson, K. Johnson, B. Glicksberg, M. Smith, B. Readhead, J. Scarpa, J. Jebakaran, P. Kovatch, S. Lim, W. Goodman, D. Reich, A. Kasarskis, N. Tatonetti, and J. Dudley. BMC Medical Informatics Decis. Mak., 18 (S-3): 79:1-79:11 (2018)

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H -H Kaatz

Patricia Lang

Risikoanalyse der Lungenmetastasenresektion unter aktuellen Aspekten der ThoraxchirurgieP. Lang. Uni Ulm, (2009)

Patricia Tönnessen

Unterschiedliche Regulation von insulinsensitiven Adipokinen bei Schwangerschaften mit normaler und abnormaler plazentarer FunktionP. Tönnessen. Uni Leipzig, (2009)

Florian H H Giesert

Lobna H airall h

Other publications of authors with the same name

Pharmacological risk factors associated with hospital readmission rates in a psychiatric cohort identified using prescriptome data mining.K. Shameer, M. Perez-Rodriguez, R. Bachar, L. Li, A. Johnson, K. Johnson, B. Glicksberg, M. Smith, B. Readhead, J. Scarpa and 8 other author(s). BMC Medical Informatics Decis. Mak., 18 (S-3): 79:1-79:11 (2018)Generative Large Language Models are autonomous practitioners of evidence-based medicine.A. Vaid, J. Lampert, J. Lee, A. Sawant, D. Apakama, A. Sakhuja, A. Soroush, D. Lee, I. Landi, N. Bussola and 10 other author(s). CoRR, (2024)Autoencoders for sample size estimation for fully connected neural network classifiers.F. Gulamali, A. Sawant, P. Kovatch, B. Glicksberg, A. Charney, G. Nadkarni, and E. Oermann. npj Digit. Medicine, (2022)Predictive Modeling of Hospital Readmission Rates Using Electronic Medical Record-Wide Machine Learning: A Case-Study Using Mount Sinai Heart Failure Cohort.K. Shameer, K. Johnson, A. Yahi, R. Miotto, L. Li, D. Ricks, J. Jebakaran, P. Kovatch, P. Sengupta, A. Gelijns and 7 other author(s). PSB, page 276-287. (2017)Big omics data experience.P. Kovatch, A. Costa, Z. Giles, E. Fluder, H. Cho, and S. Mazurkova. SC, page 39:1-39:12. ACM, (2015)Optimizing High-Performance Computing Systems for Biomedical Workloads.P. Kovatch, L. Gai, H. Cho, E. Fluder, and D. Jiang. IPDPS Workshops, page 183-192. IEEE, (2020)Computational Pathology at Health System Scale - Self-Supervised Foundation Models from Three Billion Images.G. Campanella, R. Kwan, E. Fluder, J. Zeng, A. Stock, B. Veremis, A. Polydorides, C. Hedvat, A. Schoenfeld, C. Vanderbilt and 3 other author(s). CoRR, (2023)An AI-Guided Data Centric Strategy to Detect and Mitigate Biases in Healthcare Datasets.F. Gulamali, A. Sawant, L. Liharska, C. Horowitz, L. Chan, P. Kovatch, I. Hofer, K. Singh, L. Richardson, E. Mensah and 4 other author(s). CoRR, (2023)

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Disambiguation of "Kovatch, Patricia H."

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Pharmacological risk factors associated with hospital readmission rates in a psychiatric cohort identified using prescriptome data mining.

Please choose a person to relate this publication to

H -H Kaatz

Patricia Lang

Patricia Tönnessen

Florian H H Giesert

Lobna H airall h

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Kovatch, Patricia H."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Pharmacological risk factors associated with hospital readmission rates in a psychiatric cohort identified using prescriptome data mining.

Please choose a person to relate this publication to

H -H Kaatz

Patricia Lang

Patricia Tönnessen

Florian H H Giesert

Lobna H airall h

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Pharmacological risk factors associated with hospital readmission rates in a psychiatric cohort identified using prescriptome data mining.