Methods, systems, and media for determining a hormone level and a hormonal state of a subject

A computer-implemented method for determining a contraceptive recommendation for a subject, said method comprising:

• (a) receiving a plurality of contraceptives, wherein each contraceptive of said plurality of contraceptives is associated with one or more contraceptive-specific side effects, and wherein one or more of said one or more contraceptive-specific side effects is correlated to one or more biological variables;
• (b) determining a first contraceptive of the plurality of contraceptives based on one or more contraceptive-specific side effects specific to the first contraceptive;
• (c) determining a contraceptive recommendation comprising an indication of the first contraceptive using a contraceptive machine learning algorithm;
• (d) transmitting said contraceptive recommendation;
• (e) receiving a subject side effect factor associated with the one or more contraceptive-specific side effects specific to the first contraceptive;
• and
• (f) updating a relationship between the first contraceptive and one or more biological variables based on the subject side effect factor, wherein the relationship indicates a likelihood of experiencing a contraceptive-specific side effect when administering the first contraceptive, and wherein updating the relationship results in increased accuracy of determining a contraceptive based on the one or more contraceptive-specific side effects.

A system, comprising:

• one or more processors;
• and
• a memory comprising executable instructions which, when executed by the one or more processors, cause the system to:
• (a) receive a plurality of contraceptives, wherein each contraceptive of said plurality of contraceptives is associated with one or more contraceptive-specific side effects, and wherein one or more of said one or more contraceptive-specific side effects is correlated to one or more biological variables;
• (b) determine a first contraceptive of the plurality of contraceptives based on one or more contraceptive-specific side effects specific to the first contraceptive;
• (c) determine a contraceptive recommendation comprising an indication of the first contraceptive using a contraceptive machine learning algorithm;
• (d) transmit said contraceptive recommendation;
• (e) receive a subject side effect factor associated with the one or more contraceptive-specific side effects specific to the first contraceptive;
• and
• (f) update a relationship between the first contraceptive and one or more biological variables based on the subject side effect factor, wherein the relationship indicates a likelihood of experiencing a contraceptive-specific side effect when administering the first contraceptive, and wherein updating the relationship results in increased accuracy of determining a contraceptive based on the one or more contraceptive-specific side effects.

A non-transitory, computer-readable medium comprising executable instructions, wherein when a processor, when executing the executable instructions, performs a method for determining a contraceptive recommendation for a subject, the method comprising:

• (a) receiving a plurality of contraceptives, wherein each contraceptive of said plurality of contraceptives is associated with one or more contraceptive-specific side effects, and wherein one or more of said one or more contraceptive-specific side effects is correlated to one or more biological variables;
• (b) determining a first contraceptive of the plurality of contraceptives based on one or more contraceptive-specific side effects specific to the first contraceptive;
• (c) determining a contraceptive recommendation comprising an indication of the first contraceptive using a contraceptive machine learning algorithm;
• (d) transmitting said contraceptive recommendation;
• (e) receiving a subject side effect factor associated with the one or more contraceptive-specific side effects specific to the first contraceptive;
• and
• (f) updating a relationship between the first contraceptive and one or more biological variables based on the subject side effect factor, wherein the relationship indicates a likelihood of experiencing a contraceptive-specific side effect when administering the first contraceptive, and wherein updating the relationship results in increased accuracy of determining a contraceptive based on the one or more contraceptive-specific side effects.