Machine Learning in Medicine – A Complete Overview
Latest Publications

TOTAL DOCUMENTS

(FIVE YEARS 85)

H-INDEX

(FIVE YEARS 0)

Published By Springer International Publishing

9783030339692, 9783030339708

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Typology of Medical Data (51 Patients)

Machine Learning in Medicine – A Complete Overview ◽

10.1007/978-3-030-33970-8_9 ◽

2020 ◽

pp. 63-72

Author(s):

Ton J. Cleophas ◽

Aeilko H. Zwinderman

Keyword(s):

Medical Data

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Confidence Intervals for Proportions and Differences in Proportions (100 and 75 Patients)

Machine Learning in Medicine – A Complete Overview ◽

10.1007/978-3-030-33970-8_82 ◽

2020 ◽

pp. 633-637

Author(s):

Ton J. Cleophas ◽

Aeilko H. Zwinderman

Keyword(s):

Confidence Intervals

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Improving Parallel-Groups with Different Sample Sizes and Variances (5 Parallel-Group Studies)

Machine Learning in Medicine – A Complete Overview ◽

10.1007/978-3-030-33970-8_80 ◽

2020 ◽

pp. 623-625

Author(s):

Ton J. Cleophas ◽

Aeilko H. Zwinderman

Keyword(s):

Sample Sizes ◽

Parallel Group

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Evolutionary Operations for Process Improvement (8 Operation Room Air Condition Settings)

Machine Learning in Medicine – A Complete Overview ◽

10.1007/978-3-030-33970-8_74 ◽

2020 ◽

pp. 575-579

Author(s):

Ton J. Cleophas ◽

Aeilko H. Zwinderman

Keyword(s):

Process Improvement ◽

Operation Room

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Automatic Modeling for Clinical Event Prediction (200 Patients)

Machine Learning in Medicine – A Complete Overview ◽

10.1007/978-3-030-33970-8_70 ◽

2020 ◽

pp. 541-550

Author(s):

Ton J. Cleophas ◽

Aeilko H. Zwinderman

Keyword(s):

Clinical Event ◽

Automatic Modeling ◽

Event Prediction

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Survival Studies with Varying Risks of Dying (50 and 60 Patients)

Machine Learning in Medicine – A Complete Overview ◽

10.1007/978-3-030-33970-8_64 ◽

2020 ◽

pp. 497-501

Author(s):

Ton J. Cleophas ◽

Aeilko H. Zwinderman

Keyword(s):

Survival Studies

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Optimal Binning for Finding High Risk Cut-offs (1445 Families)

Machine Learning in Medicine – A Complete Overview ◽

10.1007/978-3-030-33970-8_61 ◽

2020 ◽

pp. 473-479

Author(s):

Ton J. Cleophas ◽

Aeilko H. Zwinderman

Keyword(s):

High Risk

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Complex Samples Methodologies for Unbiased Sampling (9678 Persons)

Machine Learning in Medicine – A Complete Overview ◽

10.1007/978-3-030-33970-8_56 ◽

2020 ◽

pp. 429-436

Author(s):

Ton J. Cleophas ◽

Aeilko H. Zwinderman

Keyword(s):

Complex Samples

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Omics Research (125 Patients, 24 Predictor Variables)

Machine Learning in Medicine – A Complete Overview ◽

10.1007/978-3-030-33970-8_52 ◽

2020 ◽

pp. 383-398

Author(s):

Ton J. Cleophas ◽

Aeilko H. Zwinderman

Keyword(s):

Predictor Variables

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Firth’s Bias-adjusted Estimates for Biased Logistic Data Models (23 Challenger Launchings)

Machine Learning in Medicine – A Complete Overview ◽

10.1007/978-3-030-33970-8_51 ◽

2020 ◽

pp. 377-382

Author(s):

Ton J. Cleophas ◽

Aeilko H. Zwinderman

Keyword(s):

Data Models

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Machine Learning in Medicine – A Complete OverviewLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Typology of Medical Data (51 Patients)

Confidence Intervals for Proportions and Differences in Proportions (100 and 75 Patients)

Improving Parallel-Groups with Different Sample Sizes and Variances (5 Parallel-Group Studies)

Evolutionary Operations for Process Improvement (8 Operation Room Air Condition Settings)

Automatic Modeling for Clinical Event Prediction (200 Patients)

Survival Studies with Varying Risks of Dying (50 and 60 Patients)

Optimal Binning for Finding High Risk Cut-offs (1445 Families)

Complex Samples Methodologies for Unbiased Sampling (9678 Persons)

Omics Research (125 Patients, 24 Predictor Variables)

Firth’s Bias-adjusted Estimates for Biased Logistic Data Models (23 Challenger Launchings)

Machine Learning in Medicine – A Complete Overview
Latest Publications