Leverage Machine Learning Applications in HealthCare Industry

Analyze large volumes of text data compiled from various sources. Extract valuable insights and improve the user experience for your customers.

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Text Analytics in the Healthcare industry

The healthcare industry has to store and process extensive volumes of data. Over 80% of that data is available in text and its difficult to keep track of the data let alone analyze it. BytesView’s Text analytics solutions can help you process, classify, and analyze large volumes of text or documents with little effort and provide comprehensive insights to grow your business.

Patient health records, physician’s notes, prescriptions are not the only data that the healthcare industry has to manage. More and more people are storing their genetic information. On the other hand modern health tracking wearable tech has opened new possibilities. Hospitals, pharmaceutical companies and biotech firms are adopting advanced text analytics software to classify, and analyze text data.

Text Analytics Product Portfolio for Healthcare Industry

Semantic Similarities

Semantic Similarities

Imaging diagnosis is widely used by healthcare practitioners. Many reports need to be compared to infer a diagnosis. Semantic similarities can help you compare this data and reduce the time required to finalize a diagnosis.

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Sentiment Analysis

Analyze, interpret, and classify complex healthcare text data to understand the sentiments and opinions of your patients. Evaluate your institutions public opinion with ease.

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Topic labeling

Analyze customer reviews and complaints to identify key issues that your patients face. Classify and prioritize issues based on urgency.

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Feature Extraction

Use feature extraction to extract features (symptoms), compare with related cases to suggest treatment options and predict risk.

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Keyword Extraction

Use keyword extraction to transform examination reports and written notes of medical examiners in a detailed report that includes the patient’s entire medical history.

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Entity Extraction

Use entity extraction to access the medical history and observation of multiple examiners. Pharmaceutical companies often need detailed reports of patients to understand the co-occurrence of diseases and chemicals.