Abstract: A method of determining a prescription of two or more medicines for a patient, using a machine learning model executed on a server. The method includes obtaining a medical record of a new patient; generating a medicine intake matrix by obtaining medicine intake data of two or more medicines in use by the new patient; generating a symptom level matrix by obtaining levels of symptoms associated with the two or more medicines from the new patient after intake; and determining, using a transfer function, a prescription including an amount of a first medicine and an amount of a second medicine for the new patient to reduce a value of a sum of the symptom level matrix, wherein the transfer function provides an output value of prescription for the new patient based on the medicine intake matrix and the symptom level matrix.

Abstract: A method of determining a prescription of two or more medicines for a patient, using a machine learning model executed on a server, characterized in that the method includes: obtaining a medical record of a new patient, wherein the medical record includes at least one of medical history, diagnoses by a medical expert, a gender, an age or genome mapping of the new patient; generating a medicine intake matrix by obtaining medicine intake data of two or more medicines in use by the new patient, wherein the medicine intake matrix includes rows that represent medicines and columns that represent time units when the medicine intake data is measured, and each cell in the medicine intake matrix represents a quantity of medicine used during a time unit, wherein the two or more medicines in use are prescribed by a medical professional for the new patient; generating a symptom level matrix by obtaining levels of symptoms associated with the two or more medicines from the new patient after intake, wherein the symptom lev