PATENT CLAIM ANALYSIS

Application Number: 16058056
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-08
Patent Classification: ["206", "438000"]

Abstract:
Systems and methods are provided for determining whether and/or when a patient is taking his or her medication and, when appropriate, providing reminders and/or alerts to the patient to improve adherence to a medication regimen. In some embodiments, a medication container is provided that includes a capacitance sensor for sensing the contents of the medication container (e.g., pill count or quantity of liquid medication). The capacitance sensor may include interleaved or interdigitated electrodes oriented vertically, horizontally, or angularly (e.g., diagonally) relative to an axis of the medication container. Reminders and/or alerts to the patient may be triggered based at least in part on the contents of the medication container, when a cap of the container was last opened and/or closed, the location of the medication container, and/or the container's surroundings.

Claim (Index 30):
The system of  claim 27 , wherein the one or more computers configured to determine utilizing one or more machine learning techniques at least one parameter related to reminding the patient to consume medication of the medication container are configured to determine utilizing one or more machine learning techniques when the patient is most likely to take his or her medication.

Metadata:
- Claim Count in Document: 53.0
- Percentile: 96.0
- Lexical Diversity: 1.91026
- Patent Class: 206.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14273249', '14273289', '13775671', '15157038', '12463257']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.798503242012938
- 35 USC 102 Novelty (BERT): 0.5359814128394119
- Combined Prediction Score: 0.7722510590955853
- Mean Citation Score: 297.26829
- Max Citation Score: 369.84122
- Similarity Product: 274.8128916114545

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test