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Predicting clinical pregnancy using clinical features and machine learning algorithms in in vitro fertilization
Cheng Wei Wang, Chao Yang Kuo, Chi Huang Chen, Yu Hui Hsieh,
Emily Chia Yu Su
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此作品的通信作者
生物醫學資訊研究所
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引文 斯高帕斯(Scopus)
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Keyphrases
Machine Learning Algorithms
100%
In Vitro Fertilization
100%
Clinical Features
100%
Feature Learning
100%
Clinical Pregnancy
100%
Prediction Model
25%
Random Forest Algorithm
25%
Successful Pregnancy
25%
Taipei
12%
Patient Characteristics
12%
University Hospital
12%
Logistic Regression
12%
Injection Cycle
12%
Negative Effects
12%
Patient Treatment
12%
Machine Learning Techniques
12%
Area under the Receiver Operating Characteristic Curve
12%
Assisted Reproductive Technology
12%
Intracytoplasmic Sperm Injection
12%
Medical University
12%
Pregnancy Outcome
12%
Female Age
12%
In Vitro Fertilization Cycle
12%
Long Protocol
12%
Women with Infertility
12%
Partial Dependence Plot
12%
Assisted Reproductive Technology Cycles
12%
Ovarian Stimulation Protocol
12%
Infertility Duration
12%
Clinical Pregnancy Outcomes
12%
Ultra-long Protocol
12%
Nursing and Health Professions
Clinical Feature
100%
In Vitro Fertilisation
100%
Random Forest
40%
Pregnancy Outcome
40%
Infertility Therapy
40%
University Hospital
20%
Logistic Regression Analysis
20%
Receiver Operating Characteristic
20%
Intracytoplasmic Sperm Injection
20%
Medicine and Dentistry
Clinical Feature
100%
In Vitro Fertilisation
100%
Assisted Reproductive Technology
40%
Clinician
20%
Logistic Regression Analysis
20%
Intracytoplasmic Sperm Injection
20%
Patient Characteristics
20%
Biochemistry, Genetics and Molecular Biology
In Vitro Fertilisation
100%
Random Forest
40%
Pharmacology, Toxicology and Pharmaceutical Science
Clinical Feature
100%