Monitoring individuals for water retention management

Patent metadata

Field	Value
Publication number	US-2019244709-A1
Application number	US-201815888274-A
Country	US
Kind code	A1
Filing date	Feb 5, 2018
Priority date	Feb 5, 2018
Publication date	Aug 8, 2019
Grant date	—

Abstract

Methods, systems, and computer program products are provided for monitoring an entity for personal water retention management. Health data for the entity is monitored via one or more sensors. Changes in the monitored health data are tracked over time. Based on the monitored health data, occurrence of a water retention triggering event associated with a provided medical recommendation is determined. When the water retention triggering event is determined to have occurred, the medical recommendation is provided to the entity.

First claim

1 . A computer-implemented method for monitoring an entity for personalized water retention management comprising:
monitoring, by at least one computing device, health data for the entity via one or more sensors; tracking, by the at least one computing device, changes over time in the monitored health data; determining, by the at least one computing device based on the monitored health data, occurrence of a water retention triggering event associated with a provided medical recommendation; and providing, by the at least one computing device, the medical recommendation to the entity when the water retention triggering event is determined to have occurred.

2 . The computer-implemented method of claim 1 , further comprising:
learning, by the at least one computing device, one or more actions to perform based on the monitored health data and one or more provided medical recommendations.

3 . The computer-implemented method of claim 1 , further comprising:
searching, by the at least one computing device, an electronic calendar of the entity for an upcoming event that presents a water retention risk; and providing, by the at least one computing device, a second medical recommendation to the entity when the upcoming event found by the searching is associated with the second medical recommendation.

4 . The computer-implemented method of claim 3 , further comprising:
presenting information to a medical practitioner regarding the upcoming event when the upcoming event that presents the water retention risk is not associated with any medical recommendation, the presenting further comprising:
requesting the medical practitioner to provide a medical recommendation regarding the upcoming event, and
upon receiving the requested medical recommendation, providing the requested medical recommendation to the entity.

5 . The computer-implemented method of claim 4 , further comprising:
associating the received requested medical recommendation with the upcoming event when the requested medical recommendation is received.

6 . The computer-implemented method of claim 1 , wherein:
the monitored health data includes information regarding an altitude of the entity; and the computer-implemented further comprises:
determining an altitude-related medical recommendation associated with the altitude; and
providing the altitude-related medical recommendation to the entity.

7 . The computer-implemented method of claim 1 , further comprising:
receiving information regarding foods consumed and/or medications taken by the entity; and determining the water retention triggering event associated with a previously provided medical recommendation based on the foods consumed and/or the medications taken.

8 . A system for monitoring an entity for personalized water retention management comprising:
at least one processor; and at least one memory connected with each of the at least one processor, wherein the at least one processor is configured to perform:
monitoring health data for the entity via one or more sensors;
tracking changes over time in the monitored health data;
determining, based on the monitored health data, occurrence of a water retention triggering event associated with a provided medical recommendation occurred; and
providing the medical recommendation to the entity when the water retention triggering event is determined to have occurred.

9 . The system of claim 8 , wherein the at least one processor is further configured to perform:
learning one or more actions to perform based on the monitored health data and one or more provided medical recommendations.

10 . The system of claim 8 , wherein the at least one processor is further configured to perform:
searching an electronic calendar of the entity for an upcoming event that presents a water retention risk; and providing a second medical recommendation to the entity when the upcoming event found by the searching is associated with the second medical recommendation.

11 . The system of claim 10 , wherein the at least one processor is further configured to perform:
presenting information to a medical practitioner regarding the upcoming event when the upcoming event that presents the water retention risk is not associated with any medical recommendation, the presenting further comprising:
requesting the medical practitioner to provide a medical recommendation regarding the upcoming event, and
upon receiving the requested medical recommendation, providing the requested medical recommendation to the entity.

12 . The system of claim 11 , wherein the at least one processor is further configured to perform:
associating the received requested medical recommendation with the upcoming event when the requested medical recommendation is received.

13 . The system of claim 8 , wherein:
the monitored health data includes information regarding an altitude of the entity; and the at least one processor is further configured to perform:
determining an altitude-related medical recommendation associated with the altitude; and
providing the altitude-related medical recommendation to the entity.

14 . The system of claim 8 , wherein the at least one processor is further configured to perform:
receiving information regarding foods consumed and/or medications taken by the entity; and determining the water retention triggering event associated with a previously provided medical recommendation based on the foods consumed and/or the medications taken.

15 . A computer program product comprising at least one computer readable storage medium having computer readable program code embodied therewith for execution on at least one processor, the computer readable program code being configured to be executed by the at least one processor to perform:
monitoring health data for an entity via one or more sensors; tracking changes over time in the monitored health data; determining, based on the monitored health data, occurrence of a water retention triggering event associated with a provided medical recommendation; and providing the medical recommendation to the entity when the water retention triggering event is determined to have occurred.

16 . The computer program product of claim 15 , wherein the computer readable program code is further configured to be executed by the at least one processor to perform:
learning one or more actions to perform based on the monitored health data and one or more provided medical recommendations.

17 . The computer program product of claim 15 , wherein the computer readable program code is further configured to be executed by the at least one processor to perform:
searching an electronic calendar of the entity for an upcoming event that presents a water retention risk; and providing a second medical recommendation to the entity when the upcoming event found by the searching is associated with the second medical recommendation.

18 . The computer program product of claim 17 , wherein the computer readable program code is further configured to be executed by the at least one processor to perform:
presenting information to a medical practitioner regarding the upcoming event when the upcoming event that presents the water retention risk is not associated with any medical recommendation, the presenting further comprising:
requesting the medical practitioner to provide a medical recommendation regarding the upcoming event, and
upon receiving the requested medical recommendation, providing the requested medical recommendation to the entity.

Assignees

• IBM

Inventors

• Bender Michael
• Childress Rhonda L
• Eckert Kim Alice
• Pham Minh Q

Classifications

• G06N20/00

  Machine learning · CPC title

• G16H50/30

  for calculating health indices; for individual health risk assessment · CPC title

• G06Q10/1093 Primary

  Calendar-based scheduling for persons or groups · CPC title

• G16H40/67

  for remote operation · CPC title

• G16H50/20 Primary

  for computer-aided diagnosis, e.g. based on medical expert systems · CPC title