{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,24]],"date-time":"2026-10-24T03:40:18Z","timestamp":1792813218274,"version":"4.5.0"},"reference-count":34,"publisher":"American Society of Hematology","issue":"26","content-domain":{"domain":["ashpublications.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,6,26]]},"abstract":"<jats:sec>\n                    <jats:title>Abstract<\/jats:title>\n                    <jats:p>With the incorporation of effective therapies for myelofibrosis (MF), accurately predicting outcomes after allogeneic hematopoietic cell transplantation (allo-HCT) is crucial for determining the optimal timing for this procedure. Using data from 5183 patients with MF who underwent first allo-HCT between 2005 and 2020 at European Society for Blood and Marrow Transplantation centers, we examined different machine learning (ML) models to predict overall survival after transplant. The cohort was divided into a training set (75%) and a test set (25%) for model validation. A random survival forests (RSF) model was developed based on 10 variables: patient age, comorbidity index, performance status, blood blasts, hemoglobin, leukocytes, platelets, donor type, conditioning intensity, and graft-versus-host disease prophylaxis. Its performance was compared with a 4-level Cox regression\u2013based score and other ML-based models derived from the same data set, and with the Center for International Blood and Marrow Transplant Research score. The RSF outperformed all comparators, achieving better concordance indices across both primary and postessential thrombocythemia\/polycythemia vera MF subgroups. The robustness and generalizability of the RSF model was confirmed by Akaike information criterion and time-dependent receiver operating characteristic area under the curve metrics in both sets. Although all models were prognostic for nonrelapse mortality, the RSF provided better curve separation, effectively identifying a high-risk group comprising 25% of patients. In conclusion, ML enhances risk stratification in patients with MF undergoing allo-HCT, paving the way for personalized medicine. A web application (https:\/\/gemfin.click\/ebmt) based on the RSF model offers a practical tool to identify patients at high risk for poor transplantation outcomes, supporting informed treatment decisions and advancing individualized care.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1182\/blood.2024027287","type":"journal-article","created":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T09:53:07Z","timestamp":1743069187000},"page":"3139-3152","update-policy":"https:\/\/doi.org\/10.1182\/blood.2019cm0000","source":"Crossref","is-referenced-by-count":27,"title":["Use of machine learning techniques to predict poor survival after hematopoietic cell transplantation for myelofibrosis"],"prefix":"10.1182","volume":"145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4289-3113","authenticated-orcid":false,"given":"Juan Carlos","family":"Hern\u00e1ndez-Boluda","sequence":"first","affiliation":[{"name":"1Hematology Department, Hospital Cl\u00ednico Universitario, Instituto de Investigaci\u00f3n Sanitaria del Hospital Cl\u00ednico de Valencia, University of Valencia, Valencia, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4838-6750","authenticated-orcid":false,"given":"Adri\u00e1n","family":"Mosquera-Orgueira","sequence":"additional","affiliation":[{"name":"2Hematology Department. University Hospital of Santiago de Compostela, Instituto de Investigaci\u00f3n Sanitaria de Santiago de Compostela, Santiago de Compostela, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Luuk","family":"Gras","sequence":"additional","affiliation":[{"name":"3European Group for Blood and Marrow Transplantation Leiden Study Unit, Leiden, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Linda","family":"Koster","sequence":"additional","affiliation":[{"name":"3European Group for Blood and Marrow Transplantation Leiden Study Unit, Leiden, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joe","family":"Tuffnell","sequence":"additional","affiliation":[{"name":"3European Group for Blood and Marrow Transplantation Leiden Study Unit, Leiden, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5103-9966","authenticated-orcid":false,"given":"Nicolaus","family":"Kr\u00f6ger","sequence":"additional","affiliation":[{"name":"4Hematology Department, University Medical Center Hamburg-Eppendorf, Hamburg, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Massimiliano","family":"Gambella","sequence":"additional","affiliation":[{"name":"5Ematologia e Terapie Cellulari, IRCCS Ospedale Policlinico San Martino, Genova, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Thomas","family":"Schroeder","sequence":"additional","affiliation":[{"name":"6Hematology Department, University Hospital Essen, Duesseldorf, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1388-9876","authenticated-orcid":false,"given":"Marie","family":"Robin","sequence":"additional","affiliation":[{"name":"7Hematology Department, Saint-Louis Hospital, Bone Marrow Transplantation Unit, Paris, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Katja","family":"Sockel","sequence":"additional","affiliation":[{"name":"8Hematology Department, University Hospital Technische Universit\u00e4t Dresden, Dresden, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7092-3351","authenticated-orcid":false,"given":"Jakob","family":"Passweg","sequence":"additional","affiliation":[{"name":"9Hematology Department, University Hospital Basel, Basel, Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Igor Wolfgang","family":"Blau","sequence":"additional","affiliation":[{"name":"10Medizinische Klinik m. S. H\u00e4matologie, Onkologie und Tumorimmunologie, Berlin, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4524-8782","authenticated-orcid":false,"given":"Ibrahim","family":"Yakoub-Agha","sequence":"additional","affiliation":[{"name":"11Hematology Department, Centre Hospitalier Universitaire de Lille, INSERM U1286, Infinite, Lille, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4748-7648","authenticated-orcid":false,"given":"Ruben","family":"Van Dijck","sequence":"additional","affiliation":[{"name":"12Hematology Department, Erasmus MC Cancer Institute, Rotterdam, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9331-5145","authenticated-orcid":false,"given":"Mattias","family":"Stelljes","sequence":"additional","affiliation":[{"name":"13Hematology Department, University of Muenster, Muenster, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Henrik","family":"Sengeloev","sequence":"additional","affiliation":[{"name":"14Hematology Department, Rigshospitalet, Copenhagen, Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4274-3895","authenticated-orcid":false,"given":"Jan","family":"Vydra","sequence":"additional","affiliation":[{"name":"15Institute of Hematology and Blood Transfusion, Prague, Czech Republic"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1863-3239","authenticated-orcid":false,"given":"Uwe","family":"Platzbecker","sequence":"additional","affiliation":[{"name":"16Hematology Department, Medical Clinic and Policlinic, Leipzig, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Moniek","family":"de Witte","sequence":"additional","affiliation":[{"name":"17Hematology Department, University Medical Centre, Utrecht, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2944-3812","authenticated-orcid":false,"given":"Fr\u00e9d\u00e9ric","family":"Baron","sequence":"additional","affiliation":[{"name":"18Hematology Department, University of Liege, Liege, Belgium"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0303-1350","authenticated-orcid":false,"given":"Kristina","family":"Carlson","sequence":"additional","affiliation":[{"name":"19Hematology Department, University Hospital Uppsala, Uppsala, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Javier","family":"Rojas","sequence":"additional","affiliation":[{"name":"2Hematology Department. University Hospital of Santiago de Compostela, Instituto de Investigaci\u00f3n Sanitaria de Santiago de Compostela, Santiago de Compostela, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-7972-9431","authenticated-orcid":false,"given":"Carlos","family":"P\u00e9rez M\u00edguez","sequence":"additional","affiliation":[{"name":"2Hematology Department. University Hospital of Santiago de Compostela, Instituto de Investigaci\u00f3n Sanitaria de Santiago de Compostela, Santiago de Compostela, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-9458-9793","authenticated-orcid":false,"given":"Davide","family":"Crucitti","sequence":"additional","affiliation":[{"name":"2Hematology Department. University Hospital of Santiago de Compostela, Instituto de Investigaci\u00f3n Sanitaria de Santiago de Compostela, Santiago de Compostela, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8258-354X","authenticated-orcid":false,"given":"Kavita","family":"Raj","sequence":"additional","affiliation":[{"name":"20Hematology Department, University College London Hospitals National Health Service Trust, London, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4562-6264","authenticated-orcid":false,"given":"Joanna","family":"Drozd-Sokolowska","sequence":"additional","affiliation":[{"name":"21Hematology Department, Central Clinical Hospital, The Medical University of Warsaw, Warsaw, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5201-1786","authenticated-orcid":false,"given":"Giorgia","family":"Battipaglia","sequence":"additional","affiliation":[{"name":"22Hematology Department, Federico II University of Naples, Naples, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6297-9697","authenticated-orcid":false,"given":"Nicola","family":"Polverelli","sequence":"additional","affiliation":[{"name":"23Unit of Bone Marrow Transplantation, Division of Hematology, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3108-4035","authenticated-orcid":false,"given":"Tomasz","family":"Czerw","sequence":"additional","affiliation":[{"name":"24Hematology Department, Maria Sk\u0142odowska-Curie National Research Institute of Oncology, Gliwice, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Donal P.","family":"McLornan","sequence":"additional","affiliation":[{"name":"20Hematology Department, University College London Hospitals National Health Service Trust, London, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"234","reference":[{"issue":"16","key":"2025062611221911100_bib1","doi-asserted-by":"crossref","first-page":"1954","DOI":"10.1182\/blood.2022017423","article-title":"Myelofibrosis","volume":"141","author":"Passamonti","year":"2023","journal-title":"Blood"},{"issue":"5","key":"2025062611221911100_bib2","doi-asserted-by":"crossref","first-page":"801","DOI":"10.1002\/ajh.26857","article-title":"Primary myelofibrosis: 2023 update on diagnosis, risk-stratification, and management","volume":"98","author":"Tefferi","year":"2023","journal-title":"Am J Hematol"},{"issue":"1","key":"2025062611221911100_bib3","doi-asserted-by":"crossref","first-page":"e62","DOI":"10.1016\/S2352-3026(23)00305-8","article-title":"Indication and management of allogeneic haematopoietic stem-cell transplantation in myelofibrosis: updated recommendations by the EBMT\/ELN International Working Group","volume":"11","author":"Kr\u00f6ger","year":"2024","journal-title":"Lancet Haematol"},{"issue":"11","key":"2025062611221911100_bib4","doi-asserted-by":"crossref","first-page":"1147","DOI":"10.1200\/JCO.21.02246","article-title":"Disease modification in myelofibrosis: an elusive goal?","volume":"40","author":"Vachhani","year":"2022","journal-title":"J Clin Oncol"},{"issue":"1","key":"2025062611221911100_bib5","doi-asserted-by":"crossref","first-page":"453","DOI":"10.1182\/hematology.2021000279","article-title":"Novel therapies vs hematopoietic cell transplantation in myelofibrosis: who, when, how?","volume":"2021","author":"England","year":"2021","journal-title":"Hematol Am Soc Hematol Educ Program"},{"issue":"2","key":"2025062611221911100_bib6","doi-asserted-by":"crossref","first-page":"196","DOI":"10.1038\/s41409-023-02146-6","article-title":"Upfront allogeneic transplantation versus JAK inhibitor therapy for patients with myelofibrosis: a North American collaborative study [published correction appears in Bone Marrow Transplant. 2024;59(2):196-202]","volume":"59","author":"Maze","year":"2024","journal-title":"Bone Marrow Transpl"},{"issue":"20","key":"2025062611221911100_bib7","doi-asserted-by":"crossref","first-page":"2233","DOI":"10.1182\/blood-2018-12-890889","article-title":"Comprehensive clinical-molecular transplant scoring system for myelofibrosis undergoing stem cell transplantation","volume":"133","author":"Gagelmann","year":"2019","journal-title":"Blood"},{"issue":"15","key":"2025062611221911100_bib8","doi-asserted-by":"crossref","first-page":"3993","DOI":"10.1182\/bloodadvances.2023009886","article-title":"A simple prognostic system in patients with myelofibrosis undergoing allogeneic stem cell transplantation: a CIBMTR\/EBMT analysis","volume":"7","author":"Tamari","year":"2023","journal-title":"Blood Adv"},{"issue":"9","key":"2025062611221911100_bib9","doi-asserted-by":"crossref","first-page":"2160","DOI":"10.1038\/s41409-021-01305-x","article-title":"Trends in allogeneic haematopoietic cell transplantation for myelofibrosis in Europe between 1995 and 2018: a CMWP of EBMT retrospective analysis","volume":"56","author":"McLornan","year":"2021","journal-title":"Bone Marrow Transpl"},{"issue":"12","key":"2025062611221911100_bib10","doi-asserted-by":"crossref","first-page":"2237","DOI":"10.1016\/j.bbmt.2020.07.022","article-title":"Predicting survival after allogeneic hematopoietic cell transplantation in myelofibrosis: performance of the myelofibrosis transplant scoring system (MTSS) and development of a new prognostic model","volume":"26","author":"Hern\u00e1ndez-Boluda","year":"2020","journal-title":"Biol Blood Marrow Transpl"},{"issue":"1","key":"2025062611221911100_bib11","doi-asserted-by":"crossref","first-page":"e818","DOI":"10.1097\/HS9.0000000000000818","article-title":"Machine learning improves risk stratification in myelofibrosis: an analysis of the Spanish Registry of Myelofibrosis","volume":"7","author":"Mosquera-Orgueira","year":"2023","journal-title":"Hemasphere"},{"issue":"3","key":"2025062611221911100_bib12","doi-asserted-by":"crossref","first-page":"e60","DOI":"10.1002\/hem3.60","article-title":"Integrating AIPSS-MF and molecular predictors: a comparative analysis of prognostic models for myelofibrosis","volume":"8","author":"Mosquera-Orgueira","year":"2024","journal-title":"Hemasphere"},{"issue":"12","key":"2025062611221911100_bib13","doi-asserted-by":"crossref","first-page":"1628","DOI":"10.1016\/j.bbmt.2009.07.004","article-title":"Defining the intensity of conditioning regimens: working definitions","volume":"15","author":"Bacigalupo","year":"2009","journal-title":"Biol Blood Marrow Transpl"},{"issue":"1","key":"2025062611221911100_bib14","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1038\/s41375-020-0815-z","article-title":"Determinants of survival in myelofibrosis patients undergoing allogeneic hematopoietic cell transplantation","volume":"35","author":"Hern\u00e1ndez-Boluda","year":"2021","journal-title":"Leukemia"},{"issue":"5","key":"2025062611221911100_bib15","doi-asserted-by":"crossref","first-page":"993","DOI":"10.1002\/ajh.27262","article-title":"Impact of comorbidities and body mass index on the outcomes of allogeneic hematopoietic cell transplantation in myelofibrosis: a study on behalf of the Chronic Malignancies Working Party of EBMT","volume":"99","author":"Polverelli","year":"2024","journal-title":"Am J Hematol"},{"issue":"12","key":"2025062611221911100_bib16","doi-asserted-by":"crossref","first-page":"1469","DOI":"10.1016\/j.bbmt.2007.08.047","article-title":"A scheme for defining cause of death and its application in the T cell depletion trial","volume":"13","author":"Copelan","year":"2007","journal-title":"Biol Blood Marrow Transpl"},{"issue":"446","key":"2025062611221911100_bib17","doi-asserted-by":"crossref","first-page":"496","DOI":"10.1080\/01621459.1999.10474144","article-title":"A proportional hazards model for the subdistribution of a competing risk","volume":"94","author":"Fine","year":"1999","journal-title":"J Am Stat Assoc"},{"key":"2025062611221911100_bib18","unstructured":"R Foundation\n          . The R Project for Statistical Computing. Accessed 23 April 2024. https:\/\/www.r-project.org\/."},{"key":"2025062611221911100_bib19","unstructured":"Therneau\n              TM\n            , LumleyT, ElizabethA, CynthiaC. A package for survival analysis in R.. Accessed 23 April 2024. https:\/\/CRAN.R-project.org\/package=survival."},{"key":"2025062611221911100_bib20","unstructured":"Gerds\n              TA\n            \n          . prodlim: product-limit estimation for censored event history analysis. Accessed 23 April 2024. https:\/\/CRAN.R-project.org\/package=prodlim."},{"key":"2025062611221911100_bib21","unstructured":"Gray\n              B\n            \n          . cmprsk: subdistribution analysis of competing risks. Accessed 23 April 2024. https:\/\/CRAN.R-project.org\/package=cmprsk."},{"issue":"3","key":"2025062611221911100_bib22","doi-asserted-by":"crossref","first-page":"841","DOI":"10.1214\/08-AOAS169","article-title":"Random survival forests","volume":"2","author":"Ishwaran","year":"2008","journal-title":"Ann Appl Stat"},{"issue":"3","key":"2025062611221911100_bib23","doi-asserted-by":"crossref","first-page":"1847","DOI":"10.1214\/19-AOAS1261","article-title":"Oblique random survival forests","volume":"13","author":"Jaeger","year":"2019","journal-title":"Ann Appl Stat"},{"key":"2025062611221911100_bib24","doi-asserted-by":"crossref","first-page":"785","DOI":"10.1145\/2939672.2939785","volume-title":"Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","author":"Chen","year":"2016"},{"key":"2025062611221911100_bib25","doi-asserted-by":"crossref","unstructured":"Chen\n              Bingshu E\n            \n          . A package of deep neural network tools for probability models. Accessed 1 May 2024. https:\/\/CRAN.R-project.org\/package=dnn.","DOI":"10.32614\/CRAN.package.dnn"},{"issue":"4","key":"2025062611221911100_bib26","doi-asserted-by":"crossref","first-page":"361","DOI":"10.1002\/(SICI)1097-0258(19960229)15:4<361::AID-SIM168>3.0.CO;2-4","article-title":"Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors","volume":"15","author":"Harrell","year":"1996","journal-title":"Stat Med"},{"issue":"30","key":"2025062611221911100_bib27","doi-asserted-by":"crossref","first-page":"5381","DOI":"10.1002\/sim.5958","article-title":"Estimating and comparing time-dependent areas under receiver operating characteristic curves for censored event times with competing risks","volume":"32","author":"Blanche","year":"2013","journal-title":"Stat Med"},{"issue":"6","key":"2025062611221911100_bib28","doi-asserted-by":"crossref","first-page":"716","DOI":"10.1109\/TAC.1974.1100705","article-title":"A new look at the statistical model identification","volume":"19","author":"Akaike","year":"1974","journal-title":"IEEE Trans Automat Contr"},{"issue":"13","key":"2025062611221911100_bib29","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v043.i13","article-title":"ipw: an R package for inverse probability weighting","volume":"43","author":"Wal","year":"2011","journal-title":"J Stat Softw"},{"issue":"20","key":"2025062611221911100_bib30","doi-asserted-by":"crossref","first-page":"1683","DOI":"10.1182\/blood.2023021218","article-title":"How I treat transplant-eligible patients with myelofibrosis","volume":"142","author":"Kr\u00f6ger","year":"2023","journal-title":"Blood"},{"issue":"2","key":"2025062611221911100_bib31","doi-asserted-by":"crossref","first-page":"232","DOI":"10.1038\/s41409-023-02147-5","article-title":"Artificial intelligence methods to estimate overall mortality and non-relapse mortality following allogeneic HCT in the modern era: an EBMT-TCWP study","volume":"59","author":"Mussetti","year":"2024","journal-title":"Bone Marrow Transpl"},{"issue":"7","key":"2025062611221911100_bib32","doi-asserted-by":"crossref","first-page":"1095","DOI":"10.1016\/j.bbmt.2017.03.034","article-title":"Impact of molecular genetics on outcome in myelofibrosis patients after allogeneic stem cell transplantation","volume":"23","author":"Kr\u00f6ger","year":"2017","journal-title":"Biol Blood Marrow Transpl"},{"issue":"1","key":"2025062611221911100_bib33","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1182\/bloodadvances.2018026658","article-title":"MIPSS70+ v2.0 predicts long-term survival in myelofibrosis after allogeneic HCT with the Flu\/Mel conditioning regimen","volume":"3","author":"Ali","year":"2019","journal-title":"Blood Adv"},{"issue":"6","key":"2025062611221911100_bib34","doi-asserted-by":"crossref","first-page":"1142","DOI":"10.1016\/j.bbmt.2019.01.002","article-title":"Impact of high-molecular-risk mutations on transplantation outcomes in patients with myelofibrosis","volume":"25","author":"Tamari","year":"2019","journal-title":"Biol Blood Marrow Transpl"}],"container-title":["Blood"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/ashpublications.org\/blood\/article-pdf\/145\/26\/3139\/2382808\/blood_bld-2024-027287-main.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/ashpublications.org\/blood\/article-pdf\/145\/26\/3139\/2382808\/blood_bld-2024-027287-main.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,26]],"date-time":"2025-06-26T11:22:30Z","timestamp":1750936950000},"score":1,"resource":{"primary":{"URL":"https:\/\/ashpublications.org\/blood\/article\/145\/26\/3139\/536382\/Use-of-machine-learning-techniques-to-predict-poor"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,26]]},"references-count":34,"journal-issue":{"issue":"26","published-print":{"date-parts":[[2025,6,26]]}},"URL":"https:\/\/doi.org\/10.1182\/blood.2024027287","relation":{},"ISSN":["0006-4971","1528-0020"],"issn-type":[{"value":"0006-4971","type":"print"},{"value":"1528-0020","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2025,6,26]]},"published":{"date-parts":[[2025,6,26]]}}}