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Keyphrases
Prostate Cancer
100%
Prostate Cancer Screening
100%
Support Vector Machine Algorithm
100%
Early Differential Diagnosis
100%
Prostate Cancer Dataset
33%
Logistic Regression
22%
Class Imbalance
22%
Clinical Methods
22%
Cancer Treatment
11%
High Risk
11%
Early Diagnosis
11%
Random Forest Regression
11%
Healthcare
11%
Obesity
11%
Benign Prostatic Hyperplasia
11%
Family History
11%
Body Mass Index
11%
Healthcare Settings
11%
Support Vector Machine
11%
Dimensionality Reduction
11%
Receiver Operating Characteristic
11%
Logistic Regression Model
11%
Cancer Screening
11%
Erectile Dysfunction
11%
Area under the Receiver Operating Characteristic (AUROC)
11%
Semen
11%
SVM Model
11%
Medical Experts
11%
Kaggle
11%
Resource-constrained Healthcare
11%
Cancer Symptoms
11%
Bone Pain
11%
Class-imbalanced Datasets
11%
Computer Science
Support Vector Machine
100%
Differential Diagnosis
100%
Class Imbalance
33%
Logistic Regression
22%
Random Decision Forest
11%
Dimensionality Reduction
11%
Characteristic Curve
11%
Logistic Regression Model
11%
Obesity History
11%
Medicine and Dentistry
Prostate Cancer
100%
Differential Diagnosis
100%
Logistic Regression Analysis
20%
Clinical Method
13%
Area under the Curve
13%
Early Diagnosis
6%
Erectile Dysfunction
6%
Body Mass Index
6%
Prostate Hypertrophy
6%
Family History
6%
Bone Pain
6%
Prostate Cancer Diagnosis
6%
Side Effect
6%
Biochemistry, Genetics and Molecular Biology
Support Vector Machine
100%
Dimensionality Reduction
50%
Body Mass
50%
Random Forest
50%