Artificial Intelligence and Cancer Clinical Research: III Risk Prediction Models for Febrile Neutropenia in Patients Receiving Cancer Chemotherapy.

IF 1.8 4区 医学 Q3 ONCOLOGY Cancer Investigation Pub Date : 2024-07-04 DOI:10.1080/07357907.2024.2370692
Gary H Lyman, Nicole M Kuderer
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人工智能与癌症临床研究:癌症化疗患者发热性中性粒细胞减少症的 III 风险预测模型。
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来源期刊
Cancer Investigation
Cancer Investigation 医学-肿瘤学
CiteScore
3.80
自引率
4.20%
发文量
71
审稿时长
8.5 months
期刊介绍: Cancer Investigation is one of the most highly regarded and recognized journals in the field of basic and clinical oncology. It is designed to give physicians a comprehensive resource on the current state of progress in the cancer field as well as a broad background of reliable information necessary for effective decision making. In addition to presenting original papers of fundamental significance, it also publishes reviews, essays, specialized presentations of controversies, considerations of new technologies and their applications to specific laboratory problems, discussions of public issues, miniseries on major topics, new and experimental drugs and therapies, and an innovative letters to the editor section. One of the unique features of the journal is its departmentalized editorial sections reporting on more than 30 subject categories covering the broad spectrum of specialized areas that together comprise the field of oncology. Edited by leading physicians and research scientists, these sections make Cancer Investigation the prime resource for clinicians seeking to make sense of the sometimes-overwhelming amount of information available throughout the field. In addition to its peer-reviewed clinical research, the journal also features translational studies that bridge the gap between the laboratory and the clinic.
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