Prototype of pharmacogenomics software for informed decision-making in Colombia

Through this project, the aim is to create a pharmacogenomics software prototype that gathers official data and assists medical professionals in making informed decisions regarding the prescription of medications for their patients. Additionally, the goal is to inform doctors about the most common a...

Full description

Autores:
Robles Moreno, Jessica Alejandra
González Escallón, María Paula
Fuentes Ladino, Luisa Fernanda
Lugo Saavedra, Andrés Felipe
Tipo de recurso:
Trabajo de grado de pregrado
Fecha de publicación:
2024
Institución:
Universidad de los Andes
Repositorio:
Séneca: repositorio Uniandes
Idioma:
eng
OAI Identifier:
oai:repositorio.uniandes.edu.co:1992/73783
Acceso en línea:
https://hdl.handle.net/1992/73783
Palabra clave:
Pharmacogenomics
Software
Medical decision-making
Informed decision-making
Medication prescriptions
Precision public health
Personalized treatments
Effective pharmacological treatments
Allelic mutations
Health informatics
Medical data analysis
Genotype
Ancestry
Farmacogenómica
Software
Toma de decisiones médicas
Toma de decisiones informadas
Prescripción de medicamentos
Salud pública de precisión
Tratamientos personalizados
Tratamientos farmacológicos efectivos
Mutaciones alélicas
Informática de la salud
Análisis de datos médicos
Genotipo
Ascendencia
Ingeniería
Rights
openAccess
License
Attribution 4.0 International
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dc.title.eng.fl_str_mv Prototype of pharmacogenomics software for informed decision-making in Colombia
title Prototype of pharmacogenomics software for informed decision-making in Colombia
spellingShingle Prototype of pharmacogenomics software for informed decision-making in Colombia
Pharmacogenomics
Software
Medical decision-making
Informed decision-making
Medication prescriptions
Precision public health
Personalized treatments
Effective pharmacological treatments
Allelic mutations
Health informatics
Medical data analysis
Genotype
Ancestry
Farmacogenómica
Software
Toma de decisiones médicas
Toma de decisiones informadas
Prescripción de medicamentos
Salud pública de precisión
Tratamientos personalizados
Tratamientos farmacológicos efectivos
Mutaciones alélicas
Informática de la salud
Análisis de datos médicos
Genotipo
Ascendencia
Ingeniería
title_short Prototype of pharmacogenomics software for informed decision-making in Colombia
title_full Prototype of pharmacogenomics software for informed decision-making in Colombia
title_fullStr Prototype of pharmacogenomics software for informed decision-making in Colombia
title_full_unstemmed Prototype of pharmacogenomics software for informed decision-making in Colombia
title_sort Prototype of pharmacogenomics software for informed decision-making in Colombia
dc.creator.fl_str_mv Robles Moreno, Jessica Alejandra
González Escallón, María Paula
Fuentes Ladino, Luisa Fernanda
Lugo Saavedra, Andrés Felipe
dc.contributor.advisor.none.fl_str_mv Linares Vásquez, Mario
dc.contributor.author.none.fl_str_mv Robles Moreno, Jessica Alejandra
González Escallón, María Paula
Fuentes Ladino, Luisa Fernanda
Lugo Saavedra, Andrés Felipe
dc.subject.keyword.eng.fl_str_mv Pharmacogenomics
Software
Medical decision-making
Informed decision-making
Medication prescriptions
Precision public health
Personalized treatments
Effective pharmacological treatments
Allelic mutations
Health informatics
Medical data analysis
Genotype
Ancestry
topic Pharmacogenomics
Software
Medical decision-making
Informed decision-making
Medication prescriptions
Precision public health
Personalized treatments
Effective pharmacological treatments
Allelic mutations
Health informatics
Medical data analysis
Genotype
Ancestry
Farmacogenómica
Software
Toma de decisiones médicas
Toma de decisiones informadas
Prescripción de medicamentos
Salud pública de precisión
Tratamientos personalizados
Tratamientos farmacológicos efectivos
Mutaciones alélicas
Informática de la salud
Análisis de datos médicos
Genotipo
Ascendencia
Ingeniería
dc.subject.keyword.spa.fl_str_mv Farmacogenómica
Software
Toma de decisiones médicas
Toma de decisiones informadas
Prescripción de medicamentos
Salud pública de precisión
Tratamientos personalizados
Tratamientos farmacológicos efectivos
Mutaciones alélicas
Informática de la salud
Análisis de datos médicos
Genotipo
Ascendencia
dc.subject.themes.spa.fl_str_mv Ingeniería
description Through this project, the aim is to create a pharmacogenomics software prototype that gathers official data and assists medical professionals in making informed decisions regarding the prescription of medications for their patients. Additionally, the goal is to inform doctors about the most common allelic mutations per departmental population in Colombia. Consequently, our aspiration with the prototype is that the software will soon become accessible through a website to the general public, but with a special emphasis on Colombian medical professionals who wish to utilize it to aid in medical decision-making. Following massive data sampling from departmental sources in Colombia, the objective is to generate an analysis based on medication effectiveness to suggest the potential effects based on the patient's genetic information. This is intended to contribute to precision public health in Colombia, enabling doctors to provide more personalized and effective pharmacological treatments to their patients.
publishDate 2024
dc.date.accessioned.none.fl_str_mv 2024-02-01T23:11:41Z
dc.date.available.none.fl_str_mv 2024-02-01T23:11:41Z
dc.date.issued.none.fl_str_mv 2024-01-31
dc.type.none.fl_str_mv Trabajo de grado - Pregrado
dc.type.driver.none.fl_str_mv info:eu-repo/semantics/bachelorThesis
dc.type.version.none.fl_str_mv info:eu-repo/semantics/acceptedVersion
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dc.identifier.reponame.none.fl_str_mv reponame:Repositorio Institucional Séneca
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url https://hdl.handle.net/1992/73783
identifier_str_mv instname:Universidad de los Andes
reponame:Repositorio Institucional Séneca
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dc.language.iso.none.fl_str_mv eng
language eng
dc.rights.en.fl_str_mv Attribution 4.0 International
dc.rights.uri.none.fl_str_mv http://creativecommons.org/licenses/by/4.0/
dc.rights.accessrights.none.fl_str_mv info:eu-repo/semantics/openAccess
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eu_rights_str_mv openAccess
dc.format.extent.none.fl_str_mv 53 páginas
dc.format.mimetype.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidad de los Andes
dc.publisher.program.none.fl_str_mv Ingeniería de Sistemas y Computación
dc.publisher.faculty.none.fl_str_mv Facultad de Ingeniería
dc.publisher.department.none.fl_str_mv Departamento de Ingeniería Sistemas y Computación
publisher.none.fl_str_mv Universidad de los Andes
institution Universidad de los Andes
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spelling Linares Vásquez, Mariovirtual::20322-1Robles Moreno, Jessica AlejandraGonzález Escallón, María PaulaFuentes Ladino, Luisa FernandaLugo Saavedra, Andrés Felipe2024-02-01T23:11:41Z2024-02-01T23:11:41Z2024-01-31https://hdl.handle.net/1992/73783instname:Universidad de los Andesreponame:Repositorio Institucional Sénecarepourl:https://repositorio.uniandes.edu.co/Through this project, the aim is to create a pharmacogenomics software prototype that gathers official data and assists medical professionals in making informed decisions regarding the prescription of medications for their patients. Additionally, the goal is to inform doctors about the most common allelic mutations per departmental population in Colombia. Consequently, our aspiration with the prototype is that the software will soon become accessible through a website to the general public, but with a special emphasis on Colombian medical professionals who wish to utilize it to aid in medical decision-making. Following massive data sampling from departmental sources in Colombia, the objective is to generate an analysis based on medication effectiveness to suggest the potential effects based on the patient's genetic information. This is intended to contribute to precision public health in Colombia, enabling doctors to provide more personalized and effective pharmacological treatments to their patients.A través de este proyecto, el objetivo es crear un prototipo de software de farmacogenómica que recopile datos oficiales y ayude a los profesionales médicos a tomar decisiones informadas sobre la prescripción de medicamentos para sus pacientes. Además, el objetivo es informar a los médicos sobre las mutaciones alélicas más comunes por población departamental en Colombia. En consecuencia, nuestra aspiración con el prototipo es que el software pronto sea accesible a través de un sitio web para el público en general, pero con especial énfasis en los profesionales médicos colombianos que deseen utilizarlo para ayudar en la toma de decisiones médicas. Siguiendo el proceso de muestreo masivo de datos de fuentes departamentales en Colombia, el objetivo es generar un análisis basado en la efectividad de los medicamentos para sugerir los efectos potenciales a partir de la información genética del paciente. 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