2020
DOI: 10.3390/s20216100
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A Systematic Review of Machine Learning Techniques in Hematopoietic Stem Cell Transplantation (HSCT)

Abstract: Machine learning techniques are widely used nowadays in the healthcare domain for the diagnosis, prognosis, and treatment of diseases. These techniques have applications in the field of hematopoietic cell transplantation (HCT), which is a potentially curative therapy for hematological malignancies. Herein, a systematic review of the application of machine learning (ML) techniques in the HCT setting was conducted. We examined the type of data streams included, specific ML techniques used, and type of clinical o… Show more

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Cited by 35 publications
(24 citation statements)
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References 51 publications
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“…We aim to use computational techniques to assess the relationship among self-reported symptom data, continuous heart rate data, and the incidence of clinical respiratory illness, which may be diagnosed as COVID-19 or other types of infections. We will build on analytic approaches already developed in our study on oncology patients (ie, patients undergoing hematopoietic stem cell transplantation, who develop fevers leading to changes in heart rate, step, and sleep owing to infections, graft-versus-host disease, or other causes; patients receiving chimeric antigen receptor T cells, who develop cytokine release syndrome, display some similarity to the pathophysiology of severe COVID-19) [ 24 , 25 ].…”
Section: Methodsmentioning
confidence: 99%
“…We aim to use computational techniques to assess the relationship among self-reported symptom data, continuous heart rate data, and the incidence of clinical respiratory illness, which may be diagnosed as COVID-19 or other types of infections. We will build on analytic approaches already developed in our study on oncology patients (ie, patients undergoing hematopoietic stem cell transplantation, who develop fevers leading to changes in heart rate, step, and sleep owing to infections, graft-versus-host disease, or other causes; patients receiving chimeric antigen receptor T cells, who develop cytokine release syndrome, display some similarity to the pathophysiology of severe COVID-19) [ 24 , 25 ].…”
Section: Methodsmentioning
confidence: 99%
“…Machine learning is an application of AI that provides the capability to automatically learn and improve from experience without being explicitly programmed [ 119 ]. The process is an extension of statistical methods leading to predictions and automatic identification of patterns ending in performing tasks beyond human capabilities [ 120 ].…”
Section: Machine Based Learning and Its Role In Mpnmentioning
confidence: 99%
“…Limited data capture, non-uniform sampling rates, and data integration issues have all been cited as primary challenges in applying ML in HSCT. 19 One recent study applied penalized logistic regression to vital signs (temperature, heart rate, etc.) that were consistently and frequently recorded within the first 10 days after HSCT 20 , and we would like to investigate if we could utilize additional evidence from other dynamic features that were more irregularly measured.…”
Section: Main Textmentioning
confidence: 99%