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查看斯高帕斯 (Scopus) 概要
蘇 家玉
教授
,
醫學資訊研究所
合聘教授
,
醫學院人工智慧醫療碩士在職專班
成員
,
臺北醫學大學人工智慧醫療研究中心
https://orcid.org/0000-0003-4801-5159
電子郵件
emilysu
tmu.edu
tw
h-index
991
引文
17
h-指數
按照存儲在普爾（Pure）的出版物數量及斯高帕斯（Scopus）引文計算。
2005
2023
每年研究成果
概覽
指紋
網路
專案
(24)
研究成果
(63)
資料集
(15)
類似的個人檔案
(6)
如果您對這些純文本內容做了任何改變，很快就會看到。
指紋
查看啟用 Emily Chia-Yu Su 的研究主題。這些主題標籤來自此人的作品。共同形成了獨特的指紋。
排序方式
重量
按字母排序
Medicine & Life Sciences
Machine Learning
89%
Datasets
73%
Support Vector Machine
53%
Coronavirus
43%
Proteins
39%
Pandemics
36%
Pre-Eclampsia
36%
Disease Outbreaks
35%
Deep Learning
33%
Pregnancy
33%
Indonesia
30%
Data Mining
27%
Republic of Korea
27%
Area Under Curve
27%
Peptides
25%
ROC Curve
24%
ovatodiolide
24%
Dipeptides
24%
Hand Disinfection
22%
poly ICLC
21%
Health Insurance
21%
Masks
21%
Forests
20%
National Health Programs
20%
Mothers
19%
Organizational Case Studies
19%
Latent Class Analysis
19%
Taiwan
18%
Stroke
18%
Computer Neural Networks
17%
Tumor Microenvironment
17%
Vibrio parahaemolyticus
16%
RNA Editing
16%
Public Health
15%
Isocitrate Dehydrogenase
15%
Logistic Models
15%
Referral and Consultation
15%
Multimorbidity
15%
Benchmarking
15%
B-Lymphocyte Epitopes
15%
4-hydroxy-2-nonenal
15%
Particle Accelerators
15%
Artificial Intelligence
15%
Vascular Endothelial Growth Factor Receptor-1
15%
Neurological Rehabilitation
15%
Gastrointestinal Microbiome
15%
Wheat Germ Agglutinins
15%
Korea
14%
Philippines
14%
Search Engine
14%
Engineering & Materials Science
Proteins
100%
Genes
44%
Health insurance
37%
Support vector machines
32%
Peptides
30%
RNA
29%
Machine learning
28%
Health
26%
Nuclear Proteins
23%
Biomarkers
23%
Bacteria
22%
Cells
22%
Classifiers
22%
Autoantibodies
22%
Learning algorithms
20%
Binding sites
20%
Bioinformatics
19%
Allergens
18%
Epitopes
18%
Tumors
18%
Oxidoreductases
17%
Peptide Hydrolases
17%
Psychiatry
16%
Medical informatics
16%
Vaccines
15%
Data envelopment analysis
15%
Blood
14%
Public health
13%
Feature extraction
13%
Viruses
13%
Chromosomes
13%
Tissue
13%
Deep learning
12%
Data mining
11%
Text mining
11%
Insulin
11%
Risk assessment
11%
Deep neural networks
11%
Conservation
11%
Electroencephalography
11%
Tomography
11%
Waste disposal
10%
Chemical analysis
10%
Ultrasonics
9%
Redundancy
9%
Amino acids
9%
Genomics
9%
Physicochemical properties
8%
Allergies
8%
Experiments
8%
Mathematics
Prediction
61%
Protein
49%
Support Vector Machine
38%
Three-way Data
26%
Learning Algorithm
25%
Machine Learning
23%
Translocation
22%
Latent Semantic Indexing
21%
Web Application
20%
Performance
19%
MicroRNA
19%
Protease
18%
Performance Prediction
17%
B Cells
17%
Peptides
16%
Human
15%
Feature Selection
14%
Chromosome
13%
Background
13%
Scoring
12%
Specificity
12%
Virus
12%
Insulin
12%
Pathway
12%
Conservation
11%
Mutation
11%
Benchmark
11%
Evaluate
11%
Risk Factors
10%
Homology
10%
Prediction Model
10%
Training
10%
Vaccine
9%
Cross-validation
9%
Artificial Neural Network
9%
Encoding
9%
Redundancy
8%
Amino Acids
8%
Receiver Operating Characteristic Curve
7%
Experiment
7%
Genome
7%
Bacteria
7%
Test Set
7%
Tumor
7%
Odds Ratio
6%
Decision tree
6%
Percentage
6%
Correlation coefficient
6%
Biomarkers
6%
