Application of Artificial Intelligence in Healthcare: The Need for More Interpretable Artificial Intelligence

被引：1

作者：

Tavares, Jorge ^{[1
]}

机构：

[1] Univ Nova Lisboa, NOVA Informat Management Sch NOVA IMS, Lisbon, Portugal

来源：

ACTA MEDICA PORTUGUESA | 2024年 / 37卷 / 06期

关键词：

Artificial Intelligence; Delivery of Health Care; Machine Learning;

D O I：

10.20344/amp.20469

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

引用

页码：411 / 414

页数：4

共 9 条

[1] Principles and Practice of Explainable Machine Learning [J].

Belle, Vaishak ;

Papantonis, Ioannis .

FRONTIERS IN BIG DATA, 2021, 4

[2] Intelligible Models for HealthCare: Predicting Pneumonia Risk and Hospital 30-day Readmission [J].

Caruana, Rich ;

Lou, Yin ;

Gehrke, Johannes ;

Koch, Paul ;

Sturm, Marc ;

Elhadad, Noemie .

KDD'15: PROCEEDINGS OF THE 21ST ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, 2015, :1721-1730

[3]

European Comission: EUR-Lex, 2021, PROP REG EUR PARL CO

[4]

European Medicines Agency, Reflection paper on the use of artificial intelligence in the lifecycle of medicines

[5] Machine Learning and Artificial Intelligence: Definitions, Applications, and Future Directions [J].

Helm, J. Matthew ;

Swiergosz, Andrew M. ;

Haeberle, Heather S. ;

Karnuta, Jaret M. ;

Schaffer, Jonathan L. ;

Krebs, Viktor E. ;

Spitzer, Andrew, I ;

Ramkumar, Prem N. .

CURRENT REVIEWS IN MUSCULOSKELETAL MEDICINE, 2020, 13 (01) :69-76

[6] Where Medical Statistics Meets Artificial Intelligence [J].

Hunter, David J. ;

Holmes, Christopher .

NEW ENGLAND JOURNAL OF MEDICINE, 2023, 389 (13) :1211-1219

[7]

Muller A.C., 2018, Introduction to Machine Learning with Python: a Guide for Data Scientists, VFirst

[8] Identifying patterns in amyotrophic lateral sclerosis progression from sparse longitudinal data [J].

Ramamoorthy, Divya ;

Severson, Kristen ;

Ghosh, Soumya ;

Sachs, Karen ;

Glass, Jonathan D. ;

Fournier, Christina N. ;

Herrington, Todd M. ;

Berry, James D. ;

Ng, Kenney ;

Fraenkel, Ernest .

NATURE COMPUTATIONAL SCIENCE, 2022, 2 (09) :605-+

[9] Explainable, trustworthy, and ethical machine learning for healthcare: A survey [J].

Rasheed, Khansa ;

Qayyum, Adnan ;

Ghaly, Mohammed ;

Al-Fuqaha, Ala ;

Razi, Adeel ;

Qadir, Junaid .

COMPUTERS IN BIOLOGY AND MEDICINE, 2022, 149

← 1 →