Routine blood biomarkers for the detection of multiple myeloma using machine learning-Reference-Cited by-同舟云学术

Routine blood biomarkers for the detection of multiple myeloma using machine learning

Published:2022-02-23 Issue:3 Volume:44 Page:558-566
ISSN:1751-5521
Container-title:International Journal of Laboratory Hematology
language:en
Short-container-title:Int J Lab Hematology

Author:

Fan Gaowei¹^ORCID,Cui Ruifang²,Zhang Rui¹,Zhang Shunli¹,Guo Ruipeng³,Zhai Yuhua¹,Yue Yuhong¹,Wang Qingtao¹^ORCID

Affiliation:

1. Department of Clinical Laboratory Beijing Chao‐Yang Hospital, Capital Medical University Beijing China

2. Department of Clinical Laboratory Heping Hospital Affiliated to Changzhi Medical College Changzhi China

3. Department of Hematology Heping Hospital Affiliated to Changzhi Medical College Changzhi China

Funder

Beijing Municipal Administration of Hospitals

National Natural Science Foundation of China

Publisher

Wiley

Subject

Biochemistry (medical),Clinical Biochemistry,Hematology,General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/ijlh.13806

Reference22 articles.

1. Multiple Myeloma

2. Multiple myeloma: 2020 update on diagnosis, risk‐stratification and management

3. International Myeloma Working Group updated criteria for the diagnosis of multiple myeloma

4. Myeloma: Patient accounts of their pathways to diagnosis

5. Renal Insufficiency in newly‐diagnosed multiple myeloma: analysis according to International Myeloma Working Group consensus statement;Park S;Anticancer Res,2014

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3. Characteristics of inpatients with newly diagnosed multiple myeloma in hematology, nephrology, and orthopedic departments;Annals of Hematology;2023-02-08