PATENT CLAIM ANALYSIS

Application Number: 16167243
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-04
Patent Classification: ["705", "003000"]

Abstract:
Some embodiments described herein are directed to a universal health platform that may efficiently provide sophisticated health data processing and treatment recommendations. In some embodiments, the platform may be configured to allow a user (e.g. a patient or health professional) to input or import a vast and varied collection of data including health, medical, lifestyle, historical, and other relevant data. The platform may be configured to process this data through a multifaceted and dynamically updated decision-making protocol to create a personalized patient report. In some embodiments, the personalized patient report may comprise various medications, treatment, preventative, health, lifestyle, and behavioral recommendations and/or plans. In some embodiments, the data input and personalized patient report features are communicated to a user through a dynamic user interface configured to automatically update and adjust based on newly inputted data or user selection and/or rejection of recommendations in the personalized patient report.

Claim (Index 7):
The system of  claim 5 , wherein the data entry user interface is further configured to update through importation of medical data from a .CSV, .DOC, and/or .XLS file.

Metadata:
- Claim Count in Document: 56.0
- Percentile: 97.0
- Lexical Diversity: 2.06173
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16155805', '13399278', '14155205', '13423957', '11448354']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1177972761596928
- 35 USC 102 Novelty (BERT): 0.4954547408756977
- Combined Prediction Score: 0.1555630226312933
- Mean Citation Score: 182.85025
- Max Citation Score: 186.01807
- Similarity Product: 115.09311043190957

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

Dataset: test