Manuscript dataset - Using machine learning to guide targeted and locally-tailored empiric antibiotic prescribing in a children's hospital in Cambodia

Machine Learning in Complex Scientific Domains: Hospitalization Records, Drug Interactions, Predictive Modeling and Fairness for Class Imbalanced Data

Datta, Arghya

August 2021

Machine learning has demonstrated potential in analyzing large, complex datasets and has become ubiq...

Antibiotic Prescription in Children with Acute Upper Respiratory Tract Infections-Egypt

Mariam Taher Amin

September 2022

This dataset for data collected to study knowledge , attitude and practice of non-specialized physi...

Silicon versus Superbug: Assessing Machine Learning’s Role in the Fight against Antimicrobial Resistance

Tallon Coxe
Rajeev K. Azad

November 2023

In his 1945 Nobel Prize acceptance speech, Sir Alexander Fleming warned of antimicrobial resistance ...

Manuscript dataset - Using machine learning to guide targeted and locally-tailored empiric antibiotic prescribing in a children's hospital in Cambodia

Mathupanee Oonsivilai (5325395)
Mo Yin (5325401)
Nantasit Luangasanatip (643706)
Yoel Lubell (88683)
Thyl Miliya (3440099)
Pisey Tan (3440096)
Lorn Loeuk (5325398)
Paul Turner (160711)
Ben S Cooper (28053)

June 2018

<p>This is a dataset associated with submission of the manuscript "Using machine learning to guide t...

Using machine learning to guide targeted and locally-tailored empiric antibiotic prescribing in a children's hospital in Cambodia

Oonsivilai, M
Mo, Y
Luangasanatip, N
Lubell, Y
Miliya, T
Tan, P
Loeuk, L
Turner, P
Cooper, B

January 2018

Background: Early and appropriate empiric antibiotic treatment of patients suspected of having sepsi...

Using machine learning to guide targeted and locally-tailored empiric antibiotic prescribing in a children's hospital in Cambodia [version 1; referees: 2 approved]

Mathupanee Oonsivilai
Yin Mo
Nantasit Luangasanatip
Yoel Lubell
Thyl Miliya
Pisey Tan
Lorn Loeuk
Paul Turner
Ben S. Cooper

October 2018

Background: Early and appropriate empiric antibiotic treatment of patients suspected of having sepsi...

Using Machine Learning to Predict Antimicrobial Resistance―A Literature Review

Sakagianni, A. Koufopoulou, C. Feretzakis, G. Kalles, D. Verykios, V.S. Myrianthefs, P. Fildisis, G.

January 2023

Machine learning (ML) algorithms are increasingly applied in medical research and in healthcare, gra...

CalcAMP: A new machine learning model for the accurate pre-diction of antimicrobial activity of peptides

Colin Bournez

January 2023

Datasets used for the publication: CalcAMP: A new machine learning model for the accurate predicti...

MLA for Identifying Disease-Treatment

, Ms. Pallavi B. Lamkane, Mr. Kunal M. Shirkande

July 2016

The Machine Learning is pictured as a tool by which computer-based systems can be unified in the hea...

Machine Learning for Antimicrobial Resistance Research and Drug Development

Shankarnarayan, Shamanth A.
Guthrie, Joshua D.
Charlebois, Daniel A.

May 2022

Machine learning is a subfield of artificial intelligence which combines sophisticated algorithms an...

Machine learning for precision medicine

MacEachern, Sarah J.
Forkert, Nils D.

October 2020

Precision medicine is an emerging approach to clinical research and patient care that focuses on und...

An Empirical Study on the Usage and Availability of Machine Learning Libraries in Open-Source Python Projects - Dataset

Giuliano Antoniol
Massimiliano Di Penta
Cyrine Zid
Vittoria Nardone

December 2021

This repository contains the dataset of the manuscript: "An Empirical Study on the Usage and Availa...

Machine Learning: A New Approach for Dose Individualization

Li, Qiu-Yue
Tang, Bo-Hao
Wu, Yue-E
Yao, Bu-Fan
Zhang, Wei
Zheng, Yi
Zhou, Yue
van den Anker, John
Hao, Guo-Xiang
Zhao, Wei

September 2023

The application of machine learning (ML) has shown promising results in precision medicine due to it...

Using Machine Learning for Pharmacovigilance:A Systematic Review

Pilipiec, Patrick
Liwicki, Marcus
Bota, András

January 2022

Pharmacovigilance is a science that involves the ongoing monitoring of adverse drug reactions to exi...

Machine Learning (ML) in Medicine: Review, Applications, and Challenges

Amir Masoud Rahmani
Efat Yousefpoor
Mohammad Sadegh Yousefpoor
Zahid Mehmood
Amir Haider
Mehdi Hosseinzadeh
Rizwan Ali Naqvi

November 2021

Today, artificial intelligence (AI) and machine learning (ML) have dramatically advanced in various ...

Machine Learning in Complex Scientific Domains: Hospitalization Records, Drug Interactions, Predictive Modeling and Fairness for Class Imbalanced Data

Datta, Arghya

August 2021

Machine learning has demonstrated potential in analyzing large, complex datasets and has become ubiq...

Antibiotic Prescription in Children with Acute Upper Respiratory Tract Infections-Egypt

Mariam Taher Amin

September 2022

This dataset for data collected to study knowledge , attitude and practice of non-specialized physi...

Silicon versus Superbug: Assessing Machine Learning’s Role in the Fight against Antimicrobial Resistance

Tallon Coxe
Rajeev K. Azad

November 2023

In his 1945 Nobel Prize acceptance speech, Sir Alexander Fleming warned of antimicrobial resistance ...

Manuscript dataset - Using machine learning to guide targeted and locally-tailored empiric antibiotic prescribing in a children's hospital in Cambodia

Mathupanee Oonsivilai (5325395)
Mo Yin (5325401)
Nantasit Luangasanatip (643706)
Yoel Lubell (88683)
Thyl Miliya (3440099)
Pisey Tan (3440096)
Lorn Loeuk (5325398)
Paul Turner (160711)
Ben S Cooper (28053)

June 2018

<p>This is a dataset associated with submission of the manuscript "Using machine learning to guide t...

Using machine learning to guide targeted and locally-tailored empiric antibiotic prescribing in a children's hospital in Cambodia

Oonsivilai, M
Mo, Y
Luangasanatip, N
Lubell, Y
Miliya, T
Tan, P
Loeuk, L
Turner, P
Cooper, B

January 2018

Background: Early and appropriate empiric antibiotic treatment of patients suspected of having sepsi...

Using machine learning to guide targeted and locally-tailored empiric antibiotic prescribing in a children's hospital in Cambodia [version 1; referees: 2 approved]

Mathupanee Oonsivilai
Yin Mo
Nantasit Luangasanatip
Yoel Lubell
Thyl Miliya
Pisey Tan
Lorn Loeuk
Paul Turner
Ben S. Cooper

October 2018

Background: Early and appropriate empiric antibiotic treatment of patients suspected of having sepsi...

Using Machine Learning to Predict Antimicrobial Resistance―A Literature Review

Sakagianni, A. Koufopoulou, C. Feretzakis, G. Kalles, D. Verykios, V.S. Myrianthefs, P. Fildisis, G.

January 2023

Machine learning (ML) algorithms are increasingly applied in medical research and in healthcare, gra...

CalcAMP: A new machine learning model for the accurate pre-diction of antimicrobial activity of peptides

Colin Bournez

January 2023

Datasets used for the publication: CalcAMP: A new machine learning model for the accurate predicti...

MLA for Identifying Disease-Treatment

, Ms. Pallavi B. Lamkane, Mr. Kunal M. Shirkande

July 2016

The Machine Learning is pictured as a tool by which computer-based systems can be unified in the hea...

Machine Learning for Antimicrobial Resistance Research and Drug Development

Shankarnarayan, Shamanth A.
Guthrie, Joshua D.
Charlebois, Daniel A.

May 2022

Machine learning is a subfield of artificial intelligence which combines sophisticated algorithms an...

Machine learning for precision medicine

MacEachern, Sarah J.
Forkert, Nils D.

October 2020

Precision medicine is an emerging approach to clinical research and patient care that focuses on und...

An Empirical Study on the Usage and Availability of Machine Learning Libraries in Open-Source Python Projects - Dataset

Giuliano Antoniol
Massimiliano Di Penta
Cyrine Zid
Vittoria Nardone

December 2021

This repository contains the dataset of the manuscript: "An Empirical Study on the Usage and Availa...

Machine Learning: A New Approach for Dose Individualization

Li, Qiu-Yue
Tang, Bo-Hao
Wu, Yue-E
Yao, Bu-Fan
Zhang, Wei
Zheng, Yi
Zhou, Yue
van den Anker, John
Hao, Guo-Xiang
Zhao, Wei

September 2023

The application of machine learning (ML) has shown promising results in precision medicine due to it...

Using Machine Learning for Pharmacovigilance:A Systematic Review

Pilipiec, Patrick
Liwicki, Marcus
Bota, András

January 2022

Pharmacovigilance is a science that involves the ongoing monitoring of adverse drug reactions to exi...

Machine Learning (ML) in Medicine: Review, Applications, and Challenges

Amir Masoud Rahmani
Efat Yousefpoor
Mohammad Sadegh Yousefpoor
Zahid Mehmood
Amir Haider
Mehdi Hosseinzadeh
Rizwan Ali Naqvi

November 2021

Today, artificial intelligence (AI) and machine learning (ML) have dramatically advanced in various ...

Machine Learning in Complex Scientific Domains: Hospitalization Records, Drug Interactions, Predictive Modeling and Fairness for Class Imbalanced Data

Datta, Arghya

August 2021

Machine learning has demonstrated potential in analyzing large, complex datasets and has become ubiq...

Antibiotic Prescription in Children with Acute Upper Respiratory Tract Infections-Egypt

Mariam Taher Amin

September 2022

This dataset for data collected to study knowledge , attitude and practice of non-specialized physi...

Silicon versus Superbug: Assessing Machine Learning’s Role in the Fight against Antimicrobial Resistance

Tallon Coxe
Rajeev K. Azad

November 2023

In his 1945 Nobel Prize acceptance speech, Sir Alexander Fleming warned of antimicrobial resistance ...

Manuscript dataset - Using machine learning to guide targeted and locally-tailored empiric antibiotic prescribing in a children's hospital in Cambodia

Abstract

Extracted data

Manuscript dataset - Using machine learning to guide targeted and locally-tailored empiric antibiotic prescribing in a children's hospital in Cambodia

Abstract

Extracted data

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