• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

Machine learning probability calibration for high-risk clinical decision-making.

作者信息

Cearns Micah, Hahn Tim, Clark Scott, Baune Bernhard T

机构信息

Discipline of Psychiatry, School of Medicine, The University of Adelaide, Adelaide, SA, Australia.

Department of Psychiatry, University of Münster, Germany.

出版信息

Aust N Z J Psychiatry. 2020 Feb;54(2):123-126. doi: 10.1177/0004867419885448. Epub 2019 Nov 9.

DOI:10.1177/0004867419885448
PMID:31707786
Abstract
摘要

相似文献

1
Machine learning probability calibration for high-risk clinical decision-making.用于高风险临床决策的机器学习概率校准
Aust N Z J Psychiatry. 2020 Feb;54(2):123-126. doi: 10.1177/0004867419885448. Epub 2019 Nov 9.
2
GUESS: projecting machine learning scores to well-calibrated probability estimates for clinical decision-making.用于临床决策的机器学习评分向良好校准概率估计的投射。
Bioinformatics. 2019 Jul 15;35(14):2458-2465. doi: 10.1093/bioinformatics/bty984.
3
Can Computers Be Made to Respect the Art of Medicine?计算机能否学会尊重医学艺术?
South Med J. 2017 Jun;110(6):425. doi: 10.14423/SMJ.0000000000000656.
4
How Bioethics Can Shape Artificial Intelligence and Machine Learning.生物伦理学如何塑造人工智能和机器学习
Hastings Cent Rep. 2018 Sep;48(5):10-13. doi: 10.1002/hast.895.
5
Estimation of Caffeine Regimens: A Machine Learning Approach for Enhanced Clinical Decision Making at a Neonatal Intensive Care Unit (NICU).咖啡因给药方案的评估:一种用于加强新生儿重症监护病房(NICU)临床决策的机器学习方法。
Crit Rev Biomed Eng. 2018;46(2):93-115. doi: 10.1615/CritRevBiomedEng.2018025933.
6
Performance of a machine learning-based decision model to help clinicians decide the extent of lymphadenectomy (D1 vs. D2) in gastric cancer before surgical resection.基于机器学习的决策模型在胃癌术前帮助临床医生决定淋巴结清扫范围(D1 与 D2)的性能。
Abdom Radiol (NY). 2019 Sep;44(9):3019-3029. doi: 10.1007/s00261-019-02098-w.
7
An FP's guide to AI-enabled clinical decision support.基层医疗医生的人工智能临床决策支持指南。
J Fam Pract. 2019 Nov;68(9):486;488;490;492.
8
Ethical thinking machines in surgery and the requirement for clinical leadership.手术中的伦理思维机器与临床领导力的要求。
Am J Surg. 2020 Nov;220(5):1372-1374. doi: 10.1016/j.amjsurg.2020.06.073. Epub 2020 Jul 8.
9
[Not Available].[无可用内容]。
CMAJ. 2021 Nov 8;193(44):E1708-E1715. doi: 10.1503/cmaj.202434-f.
10
A moment kernel machine for clinical data mining to inform medical decision making.用于临床数据挖掘以告知医疗决策的瞬间核机。
Sci Rep. 2023 Jun 28;13(1):10459. doi: 10.1038/s41598-023-36752-7.

引用本文的文献

1
The construction of HMME-PDT efficacy prediction model for port-wine stain based on machine learning algorithms.基于机器学习算法的鲜红斑痣光动力疗法疗效预测模型构建。
Sci Rep. 2025 Jul 2;15(1):22563. doi: 10.1038/s41598-025-06589-3.
2
Gender-specific prolactin thresholds to determine prolactinoma size: a novel Bayesian approach and its clinical utility.用于确定泌乳素瘤大小的性别特异性泌乳素阈值:一种新型贝叶斯方法及其临床应用。
Front Surg. 2024 Mar 13;11:1363431. doi: 10.3389/fsurg.2024.1363431. eCollection 2024.
3
Attempt to Establish Prognostic Predictive System for Hepatocellular Carcinoma Using Artificial Intelligence for Assistance with Selection of Treatment Modality.
尝试利用人工智能建立肝细胞癌预后预测系统以辅助治疗方式的选择。
Liver Cancer. 2023 May 25;12(6):565-575. doi: 10.1159/000530078. eCollection 2023 Dec.
4
Suppressed activity of the rostral anterior cingulate cortex as a biomarker for depression remission.喙前扣带回皮质活动受抑制作为抑郁症缓解的生物标志物。
Psychol Med. 2021 Dec 9;53(6):1-8. doi: 10.1017/S0033291721004323.
5
Commentary: Automated Machine Learning Model Development for Intracranial Aneurysm Treatment Outcome Prediction: A Feasibility Study.评论:用于颅内动脉瘤治疗结果预测的自动化机器学习模型开发:一项可行性研究。
Front Neurol. 2022 Jun 10;13:878091. doi: 10.3389/fneur.2022.878091. eCollection 2022.
6
Machine learning approaches for parsing comorbidity/heterogeneity in antisociality and substance use disorders: A primer.用于解析反社会行为和物质使用障碍中共病/异质性的机器学习方法:入门指南。
Personal Neurosci. 2021 Nov 15;4:e6. doi: 10.1017/pen.2021.2. eCollection 2021.
7
External validation of Machine Learning models for COVID-19 detection based on Complete Blood Count.基于全血细胞计数的COVID-19检测机器学习模型的外部验证
Health Inf Sci Syst. 2021 Oct 23;9(1):37. doi: 10.1007/s13755-021-00167-3. eCollection 2021 Dec.
8
A Risk-Based IoT Decision-Making Framework Based on Literature Review with Human Activity Recognition Case Studies.基于文献综述的风险导向物联网决策框架及人类活动识别案例研究。
Sensors (Basel). 2021 Jun 30;21(13):4504. doi: 10.3390/s21134504.