Healthcare

1. Predicting adverse drug events: Identify known drug compounds which share similarities with the investigational compound based on chemical structure. Use ML techniques to predict adverse events for the investigational compound to predict future adverse events.

2. NLP to predict severe mental illness from clinical text: Using NLP to develop models to capture key symptoms of severe mental illness from clinical text to facilitate the secondary use of mental healthcare data in research. 50 symptoms were identified from a team of psychiatrists for extraction based on salience consistency in records, categorized under positive, negative & disorganization.

3. Skin disease detection through image recognition: The objective of the project was to create AI based deep learning models to auto diagnose the skin condition of the patient and offer a different diagnosis. ML based on: feature data including color, texture, gradient, etc. through image pre-processing using OpenCV.

4. Skin disease detection through image recognition: The objective of the project was to create AI based deep learning models to auto diagnose the skin condition of the patient and offer a different diagnosis. ML based on: feature data including color, texture, gradient, etc. through image pre-processing using OpenCV.