USAGE OF DECISION TREE ON ELECTRIC MEDICAL RECORD FOR MEDICAL SCREENING SYSTEM
Medical screening is a method in medical world that is used to detect disease potential that a patient might have despite not showing any symptoms. This method can be done by inspecting patient’s medical records. This record can also be in digital form known as electronic medical record. But alas...
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id-itb.:511422020-09-27T16:03:12ZUSAGE OF DECISION TREE ON ELECTRIC MEDICAL RECORD FOR MEDICAL SCREENING SYSTEM Yuwono Awondatu, Yusak Indonesia Final Project Machine Learning, medical record, screening, decision tree, CART. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/51142 Medical screening is a method in medical world that is used to detect disease potential that a patient might have despite not showing any symptoms. This method can be done by inspecting patient’s medical records. This record can also be in digital form known as electronic medical record. But alas the usage of medical record also bring some negative effects despite it’s good use as in costing more time and energy to process. But with the usage of computer and machine learning, medical screening can be faster and be done in a bulk. This final assignment will held an experiment to implement a program that use Decision Tree CART variation to read medical record data and do medical screening. This implementation resulting in a model that can evaluate and judge patient with 52% accuracy, 51% sensitivity, and 53% specificity. text |
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Indonesia Indonesia |
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Medical screening is a method in medical world that is used to detect disease
potential that a patient might have despite not showing any symptoms. This
method can be done by inspecting patient’s medical records. This record can also
be in digital form known as electronic medical record. But alas the usage of
medical record also bring some negative effects despite it’s good use as in costing
more time and energy to process. But with the usage of computer and machine
learning, medical screening can be faster and be done in a bulk. This final
assignment will held an experiment to implement a program that use Decision
Tree CART variation to read medical record data and do medical screening. This
implementation resulting in a model that can evaluate and judge patient with 52%
accuracy, 51% sensitivity, and 53% specificity.
|
| format |
Final Project |
| author |
Yuwono Awondatu, Yusak |
| spellingShingle |
Yuwono Awondatu, Yusak USAGE OF DECISION TREE ON ELECTRIC MEDICAL RECORD FOR MEDICAL SCREENING SYSTEM |
| author_facet |
Yuwono Awondatu, Yusak |
| author_sort |
Yuwono Awondatu, Yusak |
| title |
USAGE OF DECISION TREE ON ELECTRIC MEDICAL RECORD FOR MEDICAL SCREENING SYSTEM |
| title_short |
USAGE OF DECISION TREE ON ELECTRIC MEDICAL RECORD FOR MEDICAL SCREENING SYSTEM |
| title_full |
USAGE OF DECISION TREE ON ELECTRIC MEDICAL RECORD FOR MEDICAL SCREENING SYSTEM |
| title_fullStr |
USAGE OF DECISION TREE ON ELECTRIC MEDICAL RECORD FOR MEDICAL SCREENING SYSTEM |
| title_full_unstemmed |
USAGE OF DECISION TREE ON ELECTRIC MEDICAL RECORD FOR MEDICAL SCREENING SYSTEM |
| title_sort |
usage of decision tree on electric medical record for medical screening system |
| url |
https://digilib.itb.ac.id/gdl/view/51142 |
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1822272594669207552 |