Algorithms

Displaying 1 - 26 of 26CSV
Stewart, L. A., Wu, Y. S., Channing, A., Krishnan, U. S., Leone, T. A., Goldshtrom, N., Vargas Chaves, D. P., Penn, A., DeFazio, J., Fallon, E. M., Middlesworth, W., Stylianos, S., & Duron, V. P. (2024). An evidence-based treatment algorithm for congenital diaphragmatic hernia. Journal of Neonatal-Perinatal Medicine, 17(6), 750–762. https://doi.org/10.1177/19345798241308462
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Basile, A. O., Verma, A., Tang, L. A., Serper, M., Scanga, A., Farrell, A., Destin, B., Carr, R. M., Anyanwu‐Ofili, A., Rajagopal, G., Krikhely, A., Bessler, M., Reilly, M. P., Ritchie, M. D., Tatonetti, N. P., & Wattacheril, J. (2024). Rapid identification and phenotyping of nonalcoholic fatty liver disease patients using a machine‐based approach in diverse healthcare systems. Clinical and Translational Science, 18(1). Portico. https://doi.org/10.1111/cts.70105
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Zolnoori, M., Zolnour, A., Vergez, S., Sridharan, S., Spens, I., Topaz, M., Noble, J. M., Bakken, S., Hirschberg, J., Bowles, K., Onorato, N., & McDonald, M. V. (2024). Beyond electronic health record data: leveraging natural language processing and machine learning to uncover cognitive insights from patient-nurse verbal communications. Journal of the American Medical Informatics Association. https://doi.org/10.1093/jamia/ocae300
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Farrell, M. T., Bassil, D. T., Guo, M., Glymour, M. M., Wagner, R. G., Tollman, S., Langa, K. M., Brickman, A. M., Manly, J. J., & Berkman, L. F. (2024). Estimating dementia prevalence using remote diagnoses and algorithmic modelling: a population-based study of a rural region in South Africa. The Lancet Global Health, 12(12), 2003–2011. https://doi.org/10.1016/s2214-109x(24)00325-5
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Zhu, T., Xue, L., Tekwe, C., Diaz, K., Benden, M., & Zoh, R. (2024). Clustering Functional Data With Measurement Errors: A Simulation‐Based Approach. Statistics in Medicine, 43(28), 5344–5352. Portico. https://doi.org/10.1002/sim.10238
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Asteris, P. G., Gavriilaki, E., Kampaktsis, P. N., Gandomi, A. H., Armaghani, D. J., Tsoukalas, M. Z., Avgerinos, D. V., Grigoriadis, S., Kotsiou, N., Yannaki, E., Drougkas, A., Bardhan, A., Cavaleri, L., Formisano, A., Mohammed, A. S., Murlidhar, B. R., Paudel, S., Samui, P., Zhou, J., … Gkaliagkousi, E. (2024). Revealing the nature of cardiovascular disease using DERGA, a novel data ensemble refinement greedy algorithm. International Journal of Cardiology, 412, 132339. https://doi.org/10.1016/j.ijcard.2024.132339
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Schoeman, J., Kellerman, I.-M., Ladas, E. J., Ndlovu, S., Rogers, P. C., du Plessis, J., Herholdt, M., Reynders, D. T., Naidu, G., Rowe, B., Thomas, K., Vanemmenes, B., Mathews, R., Büchner, A., Omar, F. E., Ronelle, U., & Kruger, M. (2024). Implemented nutritional intervention algorithm in pediatric oncology compared to standard nutritional supportive care outcomes. Clinical Nutrition ESPEN, 63, 870–877. https://doi.org/10.1016/j.clnesp.2024.08.019
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DeFilipp, Z., Kim, H. T., Spyrou, N., Katsivelos, N., Kowalyk, S., Eng, G., Kasikis, S., Beheshti, R., Baez, J., Akahoshi, Y., Ayuk, F., Choe, H., Etra, A., Grupp, S. A., Hexner, E. O., Hogan, W. J., Kitko, C. L., Qayed, M., Reshef, R., … Chen, Y.-B. (2024). The MAGIC algorithm probability predicts treatment response and long-term outcomes to second-line therapy for acute GVHD. Blood Advances, 8(13), 3488–3496. https://doi.org/10.1182/bloodadvances.2024012561
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Zhang, L., Richter, L. R., Wang, Y., Ostropolets, A., Elhadad, N., Blei, D. M., & Hripcsak, G. (2024). Causal fairness assessment of treatment allocation with electronic health records. Journal of Biomedical Informatics, 155, 104656. https://doi.org/10.1016/j.jbi.2024.104656
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Etra, A., El Jurdi, N., Katsivelos, N., Kwon, D., Gergoudis, S., Morales, G., Spyrou, N., Kowalyk, S., Aguayo-Hiraldo, P., Akahoshi, Y., Ayuk, F., Baez, J., Betts, B. C., Chanswangphuwana, C., Chen, Y.-B., Choe, H., DeFilipp, Z., Gleich, S., Hexner, E., … Holtan, S. (2024). Amphiregulin, ST2, and REG3α biomarker risk algorithms as predictors of nonrelapse mortality in patients with acute GVHD. Blood Advances, 8(12), 3284–3292. https://doi.org/10.1182/bloodadvances.2023011049
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Zhang, D., Tong, J., Jing, N., Yang, Y., Luo, C., Lu, Y., Christakis, D. A., Güthe, D., Hornig, M., Kelleher, K. J., Morse, K. E., Rogerson, C. M., Divers, J., Carroll, R. J., Forrest, C. B., & Chen, Y. (2024). Learning competing risks across multiple hospitals: one-shot distributed algorithms. Journal of the American Medical Informatics Association, 31(5), 1102–1112. https://doi.org/10.1093/jamia/ocae027
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Santos, L., Hsu, H.-Y., Nelson, R. R., Sullivan, B., Shin, J., Fung, M., Lebel, M. R., Jambawalikar, S., & Jaramillo, D. (2024). Impact of Deep Learning Denoising Algorithm on Diffusion Tensor Imaging of the Growth Plate on Different Spatial Resolutions. Tomography, 10(4), 504–519. https://doi.org/10.3390/tomography10040039
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Spotnitz, M., Idnay, B., Gordon, E. R., Shyu, R., Zhang, G., Liu, C., Cimino, J. J., & Weng, C. (2024). A Survey of Clinicians’ Views of the Utility of Large Language Models. Applied Clinical Informatics, 15(02), 306–312. CLOCKSS. https://doi.org/10.1055/a-2281-7092
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Iyer, P. G., Slettedahl, S. W., Mahoney, D. W., Giakoumopoulos, M., Olson, M. C., Krockenberger, M., Taylor, W. R., Foote, P., Berger, C., Leggett, C., Wu, T.-T., Antpack, E., Falk, G. W., Ginsberg, G. G., Abrams, J. A., Lightdale, C. J., Ramirez, F., Kahn, A., Wolfsen, H., … Kisiel, J. B. (2024). Algorithm Training and Testing for a Nonendoscopic Barrett’s Esophagus Detection Test in Prospective Multicenter Cohorts. Clinical Gastroenterology and Hepatology, 22(8), 1596-1604.e4. https://doi.org/10.1016/j.cgh.2024.03.003
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Zietz, M., Himmelstein, D. S., Kloster, K., Williams, C., Nagle, M. W., & Greene, C. S. (2024). The probability of edge existence due to node degree: a baseline for network-based predictions. GigaScience, 13. https://doi.org/10.1093/gigascience/giae001
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Rayn, K., Gupta, V., Mulinti, S., Clark, R., Magliari, A., Chaudhari, S., Garima, G., & Beriwal, S. (2024). Evaluation of a deep image-to-image network (DI2IN) auto-segmentation algorithm across a network of cancer centers. Journal of Cancer Research and Therapeutics, 20(3), 1020–1025. https://doi.org/10.4103/jcrt.jcrt_769_23
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Barcelona, V., Scharp, D., Moen, H., Davoudi, A., Idnay, B. R., Cato, K., & Topaz, M. (2023). Using Natural Language Processing to Identify Stigmatizing Language in Labor and Birth Clinical Notes. Maternal and Child Health Journal, 28(3), 578–586. https://doi.org/10.1007/s10995-023-03857-4
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Kitsak, M., Ganin, A., Elmokashfi, A., Cui, H., Eisenberg, D. A., Alderson, D. L., Korkin, D., & Linkov, I. (2023). Finding shortest and nearly shortest path nodes in large substantially incomplete networks by hyperbolic mapping. Nature Communications, 14(1). https://doi.org/10.1038/s41467-022-35181-w
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Columbia Affiliation
Wang, Y., Stroh, J. N., Hripcsak, G., Low Wang, C. C., Bennett, T. D., Wrobel, J., Der Nigoghossian, C., Mueller, S. W., Claassen, J., & Albers, D. J. (2023). A methodology of phenotyping ICU patients from EHR data: High-fidelity, personalized, and interpretable phenotypes estimation. Journal of Biomedical Informatics, 148, 104547. https://doi.org/10.1016/j.jbi.2023.104547
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Wu, Q., Schuemie, M. J., Suchard, M. A., Ryan, P., Hripcsak, G. M., Rohde, C. A., & Chen, Y. (2023). Padé approximant meets federated learning: A nearly lossless, one-shot algorithm for evidence synthesis in distributed research networks with rare outcomes. Journal of Biomedical Informatics, 145, 104476. https://doi.org/10.1016/j.jbi.2023.104476
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Himmelstein, D. S., Zietz, M., Rubinetti, V., Kloster, K., Heil, B. J., Alquaddoomi, F., Hu, D., Nicholson, D. N., Hao, Y., Sullivan, B. D., Nagle, M. W., & Greene, C. S. (2022). Hetnet connectivity search provides rapid insights into how biomedical entities are related. GigaScience, 12. https://doi.org/10.1093/gigascience/giad047
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Farek, J., Hughes, D., Salerno, W., Zhu, Y., Pisupati, A., Mansfield, A., Krasheninina, O., English, A. C., Metcalf, G., Boerwinkle, E., Muzny, D. M., Gibbs, R., Khan, Z., & Sedlazeck, F. J. (2022). xAtlas: scalable small variant calling across heterogeneous next-generation sequencing experiments. GigaScience, 12. https://doi.org/10.1093/gigascience/giac125
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Columbia Affiliation