PL423268A1 - System for autonomous treatment of a patient with arterial hypertension, basing on artificial intelligence methods - Google Patents

System for autonomous treatment of a patient with arterial hypertension, basing on artificial intelligence methods

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Publication number
PL423268A1
PL423268A1 PL423268A PL42326817A PL423268A1 PL 423268 A1 PL423268 A1 PL 423268A1 PL 423268 A PL423268 A PL 423268A PL 42326817 A PL42326817 A PL 42326817A PL 423268 A1 PL423268 A1 PL 423268A1
Authority
PL
Poland
Prior art keywords
artificial intelligence
basing
patient
patients
arterial hypertension
Prior art date
Application number
PL423268A
Other languages
Polish (pl)
Inventor
Krzysztof Wołk
Robert Marek Wołk
Original Assignee
Wolk Krzysztof
Wolk Robert Marek
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Wolk Krzysztof, Wolk Robert Marek filed Critical Wolk Krzysztof
Priority to PL423268A priority Critical patent/PL423268A1/en
Publication of PL423268A1 publication Critical patent/PL423268A1/en

Links

Abstract

System składa się z szeregu usług sieciowych, aplikacji, a przede wszystkim mechanizmów sztucznej inteligencji (w tym opartych na sieciach neuronowych, metodach statystycznych oraz regułowych), które mogą okazać się bardziej skuteczne, niezawodne i przewidywalne w optymalizacji leczenia na poziomie indywidualnego pacjenta w porównaniu z tradycyjnym podejściem zależnym od decyzji, wiedzy i doświadczenia lekarza. System za pomocą głębokich sieci neuronowych RNN (rekurencyjnych), CNN (konwolucyjnych) oraz przy wykorzystaniu architektury sieci LSTM (Long short-term memory), które uruchamiane są sekwencyjnie, a ich wyniki są uśredniane i wygładzane, w sposób autonomiczny "uczy się" na podstawie diagnoz, zaleceń oraz skutków leczenia u pacjentów korzystających z naszego systemu. Idea systemu polega na samo-udoskonalaniu się wraz ze wzrostem ilości danych dostarczanych przez lekarzy i pacjentów.The system consists of a number of network services, applications, and above all artificial intelligence mechanisms (including those based on neural networks, statistical and rule-based methods) that can be more effective, reliable and predictable in optimizing treatment at the individual patient level compared to traditional approach depending on the doctor's decision, knowledge and experience. The system using deep RNN (recursive), CNN (convolutional) neural networks and using LSTM (Long short-term memory) network architecture, which are activated sequentially, and their results are averaged and smoothed, autonomously "learns" on based on diagnoses, recommendations and treatment effects in patients using our system. The idea of the system is to self-improve with the increase in the amount of data provided by doctors and patients.

PL423268A 2017-10-24 2017-10-24 System for autonomous treatment of a patient with arterial hypertension, basing on artificial intelligence methods PL423268A1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
PL423268A PL423268A1 (en) 2017-10-24 2017-10-24 System for autonomous treatment of a patient with arterial hypertension, basing on artificial intelligence methods

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PL423268A PL423268A1 (en) 2017-10-24 2017-10-24 System for autonomous treatment of a patient with arterial hypertension, basing on artificial intelligence methods

Publications (1)

Publication Number Publication Date
PL423268A1 true PL423268A1 (en) 2019-05-06

Family

ID=66341910

Family Applications (1)

Application Number Title Priority Date Filing Date
PL423268A PL423268A1 (en) 2017-10-24 2017-10-24 System for autonomous treatment of a patient with arterial hypertension, basing on artificial intelligence methods

Country Status (1)

Country Link
PL (1) PL423268A1 (en)

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5357427A (en) * 1993-03-15 1994-10-18 Digital Equipment Corporation Remote monitoring of high-risk patients using artificial intelligence
RO122525B1 (en) * 2004-02-09 2009-08-28 Centrul De Cercetare Pentru Materiale Macromoleculare Şi Membrane S.A. System for automatic renal dialysis control and regulation
JP2015016268A (en) * 2013-07-15 2015-01-29 崔 忠浩ｃｕｉ ｚｈｏｎｇｈａｏ Measuring analytical method for pulse diagnosis in oriental medicine, measuring analytical system for the same, and simple and portable measuring analytical device for pulse diagnosis using artificial-intelligence
CN104548230A (en) * 2015-01-06 2015-04-29 上海交通大学 Wireless intelligent artificial heart blood pulsating pump
CN105354445A (en) * 2015-11-17 2016-02-24 南昌大学第二附属医院 Blood marker-based intelligent recognition system for artificial neural network
CN107273652A (en) * 2017-03-10 2017-10-20 马立伟 Intelligent risk of stroke monitoring system

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5357427A (en) * 1993-03-15 1994-10-18 Digital Equipment Corporation Remote monitoring of high-risk patients using artificial intelligence
RO122525B1 (en) * 2004-02-09 2009-08-28 Centrul De Cercetare Pentru Materiale Macromoleculare Şi Membrane S.A. System for automatic renal dialysis control and regulation
JP2015016268A (en) * 2013-07-15 2015-01-29 崔 忠浩ｃｕｉ ｚｈｏｎｇｈａｏ Measuring analytical method for pulse diagnosis in oriental medicine, measuring analytical system for the same, and simple and portable measuring analytical device for pulse diagnosis using artificial-intelligence
CN104548230A (en) * 2015-01-06 2015-04-29 上海交通大学 Wireless intelligent artificial heart blood pulsating pump
CN105354445A (en) * 2015-11-17 2016-02-24 南昌大学第二附属医院 Blood marker-based intelligent recognition system for artificial neural network
CN107273652A (en) * 2017-03-10 2017-10-20 马立伟 Intelligent risk of stroke monitoring system

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