Comparison of four statistical and machine learning methods for crash severity prediction

Accident Analysis & Prevention ◽

10.1016/j.aap.2017.08.008 ◽

2017 ◽

Vol 108 ◽

pp. 27-36 ◽

Author(s):

Amirfarrokh Iranitalab ◽

Aemal Khattak

Keyword(s):

Machine Learning ◽

Crash Severity ◽

Learning Methods ◽

Machine Learning Methods ◽

Severity Prediction

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Severity prediction of motorcycle crashes with machine learning methods

International Journal of Crashworthiness ◽

10.1080/13588265.2019.1616885 ◽

2019 ◽

Vol 25 (5) ◽

pp. 485-492 ◽

Author(s):

Lukuman Wahab ◽

Haobin Jiang

Keyword(s):

Machine Learning ◽

Learning Methods ◽

Machine Learning Methods ◽

Severity Prediction ◽

Motorcycle Crashes

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Applications of machine learning methods in traffic crash severity modelling: current status and future directions

Transport Reviews ◽

10.1080/01441647.2021.1954108 ◽

2021 ◽

pp. 1-25

Author(s):

Xiao Wen ◽

Yuanchang Xie ◽

Liming Jiang ◽

Ziyuan Pu ◽

Tingjian Ge

Keyword(s):

Machine Learning ◽

Current Status ◽

Crash Severity ◽

Learning Methods ◽

Future Directions ◽

Traffic Crash ◽

Machine Learning Methods ◽

Applications Of Machine Learning

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Severity Prediction with Machine Learning Methods

2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) ◽

10.1109/hora49412.2020.9152601 ◽

2020 ◽

Author(s):

Buket Geyik ◽

Medine Kara

Keyword(s):

Machine Learning ◽

Learning Methods ◽

Machine Learning Methods ◽

Severity Prediction

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Advanced Interpretable Machine Learning Methods for Clinical NGS Big Data of Complex Hereditary Diseases

10.3389/978-2-88966-274-6 ◽

2020 ◽

Keyword(s):

Machine Learning ◽

Big Data ◽

Hereditary Diseases ◽

Learning Methods ◽

Machine Learning Methods ◽

Interpretable Machine Learning

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Application of machine learning methods for automatic interpretation of open hole logging data

Neftyanoe khozyaystvo - Oil Industry ◽

10.24887/0028-2448-2020-11-44-47 ◽

2020 ◽

pp. 44-47

Author(s):

M.A. Basyrov ◽

◽

A.V. Akinshin ◽

I.R. Makhmutov ◽

Yu.D. Kantemirov ◽

...

Keyword(s):

Machine Learning ◽

Learning Methods ◽

Machine Learning Methods ◽

Automatic Interpretation ◽

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TESTING PREDICTION ACCURACY OF HDU ADMISSION FOLLOWING HIGH GRADE SEROUS ADVANCED OVARIAN CANCER CYTOREDUCTIVE SURGERY USING MACHINE LEARNING METHODS.

10.26226/morressier.5fa3ee5d55b1fd4cc4dd93d7 ◽

2020 ◽

Author(s):

Alexandros Laios ◽

Angelika Kaufmann ◽

Mohamed Otify ◽

Diederick De Jong ◽

Tim Broadhead ◽

...

Keyword(s):

Machine Learning ◽

Ovarian Cancer ◽

Cytoreductive Surgery ◽

Prediction Accuracy ◽

Advanced Ovarian Cancer ◽

Learning Methods ◽

Machine Learning Methods

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Evolution of Machine Learning Methods for Memography Classification

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v6i3.499502 ◽

2018 ◽

Vol 6 (3) ◽

pp. 499-502

Author(s):

R. Swathi ◽

◽

R. Seshadri ◽

Keyword(s):

Machine Learning ◽

Learning Methods ◽

Machine Learning Methods

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FORECASTING THREATS AND CHOOSING THE OPTIMAL STRATEGY FOR ENSURING ECONOMIC SECURITY USING MACHINE LEARNING METHODS

Scientific Review Series 1 Economics and Law ◽

10.26653/2076-4650-2019-6-09 ◽

2019 ◽

pp. 115-123

Author(s):

Evgeniy A. Voronin ◽

◽

Igor V. Yushin ◽

Keyword(s):

Machine Learning ◽

Optimal Strategy ◽

Economic Security ◽

Learning Methods ◽

Machine Learning Methods

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A Generalized Approach to Soil Strength Prediction With Machine Learning Methods

10.21236/ada464726 ◽

2006 ◽

Author(s):

Peter M. Semen

Keyword(s):

Machine Learning ◽

Soil Strength ◽

Strength Prediction ◽

Learning Methods ◽

Machine Learning Methods

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Machine Learning Methods for Financial Forecasting: Application to the S&P 500

SSRN Electronic Journal ◽

10.2139/ssrn.2554146 ◽

2006 ◽

Author(s):

Babak Mahdavi Damghani

Keyword(s):

Machine Learning ◽

Financial Forecasting ◽

Learning Methods ◽

Machine Learning Methods

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