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Questions tagged [healthcare]

For questions about the application of Artificially Intelligent agents and Machine Learning Algorithms in the healthcare industry.

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What might be the suitable machine learning algorithm to train a model suitable for forecasting a patient's urine output?

The task involves developing a machine learning model trained on urine output trends, clinical parameters, medications, and fluid input of patients to predict their future urine output. What machine ...
Rajat Srivastav's user avatar
1 vote
1 answer

Has someone correctly predicted one of the variants of SARS-CoV-2 (like the Delta variant)?

Without any evidence, I have wondered it might be possible to predict the upcoming mutations of the COVID-19 virus. I am further assuming people did so. So, has someone correctly predicted the ...
Gary 2's user avatar
  • 111
2 votes
1 answer

Is there a taxonomy of adversarial attacks?

I am a medical doctor working on methodological aspects of health-oriented ML. Reproducibility, replicability, generalisability are critical in this area. Among many questions, some are raised by ...
user2478159's user avatar
1 vote
0 answers

Is there an AI system that, given a patient's symptoms, produces a diagnosis and suggests a treatment?

Is there an AI system (preferably, one that interacts with the human, such as a chatbot like this one) that, given some input (e.g. entered into the system by writing text), such as a person's ...
Merlin's user avatar
  • 21
4 votes
2 answers

Is AI already being used in the drug industry to combat the COVID-19?

We all have heard about how beneficial AI can be in health. There are plenty of papers and research about confronting diseases, like cancer. However, in 2020 with COVID-19 be one of the most serious ...
ddaedalus's user avatar
  • 919
6 votes
4 answers

Would it be ethical to allow an AI to make life-or-death medical decisions?

Would it be ethical to allow an AI to make life-or-death medical decisions? For instance, where there an insufficient number of ventilators during a respiratory pandemic, not every patient can have ...
DukeZhou's user avatar
  • 6,237
2 votes
3 answers

What are the AI technologies currently used to fight the coronavirus pandemic?

The ongoing coronavirus pandemic of coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), as of 29 September 2020, has affected many countries ...
nbro's user avatar
  • 40.8k
4 votes
2 answers

How should I select the features for predicting diseases (in particular when patients specify their health issues)?

My aim is to train a model for predicting diseases. Now, according to this Wikipedia article, diseases are classified based on the following criteria in general: Causes (of the disease) Pathogenesis (...
Muhammad Maqsoodur Rehman's user avatar
3 votes
0 answers

Evaluation a policy learned using Q - learning

I have been reading literature on reinforcement learning in healthcare. I am slightly confused between the policy evaluation for both SARSA and Q-learning. To my knowledge, I believe that SARSA is ...
calveeen's user avatar
  • 1,271
3 votes
1 answer

How can it be shown clearly and transparently that the outcomes of data-driven health and care technology are validated?

The National Health Service (NHS) wrote down several principles in a document Code of conduct for data-driven health and care technology (updated 18 July 2019). I am concerned with principle 7. Show ...
benbyford's user avatar
  • 348
4 votes
3 answers

How can artificial intelligence techniques be used in diagnosing mental health issues?

I've seen events, like CogX, and articles that describe how machine learning techniques or algorithms can be used to diagnose mental health issues. Here's my question. How can artificial intelligence ...
MJM's user avatar
  • 149
5 votes
1 answer

How can artificial intelligence (including deep learning algorithms) find suspicious patterns in the body’s biochemistry?

It has been suggested that machine learning algorithms (also Watson) can help with finding disease in patient images and optimize scans. Also that deep learning algorithms show promise for every type ...
kenorb's user avatar
  • 10.5k
1 vote
1 answer

How Watson can help to make medical diagnoses?

On Watson wiki page we can read: In healthcare, Watson's natural language, hypothesis generation, and evidence-based learning capabilities allow it to function as a clinical decision support system ...
kenorb's user avatar
  • 10.5k