Progress of big data analysis and artificial intelligence technology for hematologic neoplasms
10.3760/cma.j.issn.1009-9921.2020.01.004
- VernacularTitle: 大数据分析和人工智能技术用于血液肿瘤研究进展
- Author:
Hongxing LIU
1
;
Xiaosu ZHOU
1
;
Fang WANG
2
;
Panxiang CAO
2
;
Jiancheng FANG
2
Author Information
1. Beijing Lu Daopei Institute of Hematology, Beijing 100176, China
2. Clinical Laboratory Division, Hebei Yanda Lu Daopei Hospital, Langfang 065201, China
- Publication Type:Review
- Keywords:
Hematologic neoplasms;
Artificial intelligence;
High-throughput nucleotide sequencing;
Big data
- From:
Journal of Leukemia & Lymphoma
2020;29(1):17-19
- CountryChina
- Language:Chinese
-
Abstract:
The new wave of artificial intelligence pushed by deep learning algorithms has dramatically promoted the development of big data analysis technology. On the other hand, advances in life sciences represented by high-throughput genome sequencing have provided massive medical data. Artificial intelligence technology has also provided a powerful tool for hematological malignancy research. This article introduces related research progress in the 61st American Society of Hematology Annual Meeting.
