《生物医学知识整合论》（BMKI）整体结构大重组

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《生物医学知识整合论》（BMKI）整体结构大重组：提出“医学认知信息学”和“机体信息学”作为其两大基础理论支柱，后二者总称为“固有医学信息学”，为易于区别起见，当前的医学信息学被称为“一般医学信息学”。区别在于前者着重医学本身的信息学，而后者着重于“信息技术在医学中的应用”，而较少医学本身的信息学研究。所以基本次序为“一般信息学”（理论于离散事件）>“一般医学信息学”>“固有医学信息学”>“临床科学”。“固有医学信息学”作为“一般医学信息学”通向“临床科学”的桥梁。如果缺少这一桥梁，“一般医学信息学”可能作为有限。

整体结构件可见下面英文目录。

[ 本帖最后由 老包 于 2008-4-15 01:09 编辑 ]

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An Introduction to 《Intrinsic Medical Informatics》



Hanfei Bao
(e-mail: bhflhl[email=bhflhl@yahoo.com]@yahoo.com.cn[/email])

Abstract

Intrinsic Medical Informatics(IMI) consists of Medical Cognition Informatics(MCI) and Organism Informatics(OI) and is considered as a base of the Theory of BioMedical Knowledge Integration(BMKI) . IMI is a combination of the principles of GI (General Informatics, which is based on probability or separateness of the things) and the informatics principles of BioMedicine, the latter is based on the principles of the structure, the complex structure and the biological evolution. IMI will play a role of bridge between GMI(General Medical Informatics, ie the applications of technology of GI in Medicine or health sciences, with less informatics principles of BioMedicine) and medical or health care practices, to lead to the new depth of understanding and enthusiasm of participating the great cause.

Ⅰ Medical Cognition Informatics(MCI)

1.1 Independence and randomicity: The foundation stones of General Informatics(GI)
1.2 About General Cognitive Science
1.3 Physical nature and mental nature of knowledge
1.4 The conflict and mutual conversions between mental and physical components
1.5 The background space of knowledge The “magic carpet” to determine the fate of medical knowledge engineering: the background space of knowledge
1.6 The ever incompleteness of knowledge The embarrassments of incompleteness in what we know the object and the context, what we have expressed, the awareness of what knowledge we own…
1.7 Artificial Intelligence viewed by BMKI
1.8 Logic viewed by BMKI
1.9 Infinite viewed by BMKI
1.10 Medical Data Informatics •The obtainer, carriers, granularity, certainty, etc of medical data •Temporal components in medical data: the length, order, frequency, certainty, variety of expressions, operations and medical semantics,etc
1.11 Concept Informatics •The same concept but the different potential •The concept movement •The conceptual worlds and real worlds
1.12 Medical cognitive science •Cognitive actions from view of BMKI •Cognitive segment(CS) and to discover the risk pattern through EHR for the public health surveillance; the quasi-physical operators on CSs for their difference, intersection and quotient

Ⅱ Organism Informatics (OI)

2.1 Dimension and space in biology ideal space(formal space), physical space, ideal dimension, physical dimension, simple and compound dimensions, dimensional integration, structure dimension, circular dimension, complex dimensions of life systems, integral dimension and fractal dimension, hard transformation of dimension, number of dimension of space, dimensional confronting and its biological significances, cognitive dimension regression, etc
2.2 The general physical world The generalized Hamilton Principle-Anfinsen’s Principle-The Generalized Economy Principle
2.3 The complex physical world Certainty, uncertainty, fault tolerant, the determined random systems, Hidden Markov model
2.4 The organism complex physical world • Organism: the hell for physics and mathematics • The normal oscillation in organism • How does organism fight logic • Organism likes to play wicked pranks on logic: the laws of identity, contradiction and excluded middle • The invention of penicillin: the greatest reasoning depends on the greatest experiment • A meta-mechanism of biology: Synchronic-Diachronic axiom • Organisms challenges the human cognition: the complex structures, reductionism and wholism • If axes XYZ are not straight line • The informatics for a tractor working on a rocky mountains • “Operation Explosion” • The confusion in diagnosis • How does the organism deal with the “composite explosion” • Physic-mathematics: • •How awkward the traditional mathematics facing an open physical system • •The similarity between an arithmetic operator and a biological structure • •Does a number have its “shape”? • •If mathematics marries physics: the future of the biologic computing • •A strange number: half number and half physical object • •A mother wavelet: a tiny structure or particle?
2.5 About the Hypercycle Theory •The supplements to the philosophy of hypercycle theory

Ⅲ The Theory of BioMedical Knowledge Integration(BMKI)

3.1 A Hindoo Fable: Four blind men and an elephant
3.2 The general principles of physical integration: The necessary condition(s) of integration, the sufficient condition(s) of integration
3.3 The integration of farmer and water buffalo
3.4 The data level integration and the conceptual level integration
3.5 Medical quasi-formal structures in knowledge integration
3.6 The integration of the quasi-formal structures of hypertension
3.7 Quasi-formal structure or pattern medicine
3.8 The quasi-formal structures as medical knowledge products?
3.9 Two type of knowledge integration: reasoning and mapping
3.10 The Beacon-compass-strategy
3.11 From Biologic Informatics to Medical: What a great picture
3.12 Many biologic frontiers presented by BMKI

References:

1. Hanfei Bao：The Theory of Biomedical Knowledge Integration (I-VII) , http://www.miforum.net/bhf/english/index_english.htm
2.Hanfei Bao： <Intrinsic Medical Informatics>——The base of BMKI(to be published)

[ 本帖最后由 老包 于 2008-4-15 01:02 编辑 ]

medsoft

包老师到了加拿大也闲不下来啊，前几天刚刚加到了多伦多的一个医学信息标准会议还发表了演讲。

老包

谈不上"演讲"，是一个简短的发言。会上大家谈关于“SNOMED”的教学问题和计划，美国病理学院的专家（大家知道是SNOMED的故乡）提出术语的context的问题，我非常赞同，要求发言（大家可能知道BMKI对SNOMED的背景元维度化过不少功夫，逐步有所心得，以后会介绍）。

这也是《生物医学知识整合论》首次与西方专家直接见面，不过是经过结构大调整以后，即提出“固有医学信息学”作为“一般医学信息学”通向“临床科学”的桥梁这一构思以后，所遇到的学者都表示认同。甚至有人在仔细阅读我的资料以后，说要向我提些问题（问题还没有收到）。

发言的大致内容是：

When a doctor or a nurse uses a medical term, where there must be a rich context behind the term. The context behind a term applied by a clinician might be divided into three sorts:
(1) the context in common sense or self-evident level or of axiom;
(2) the context determined by domains;
(3) the context in the sense of a special case.

Researches showed that it is usually not quite clear what the context is behind a term for an actor who selected the term.
At least sort (1), and perhaps sort (2) as well, can be computerized, to help clinicians or researchers in their interpretation, analysis, data mining and knowledge discover for a clinical data which is composed of a medical terminology.


[ 本帖最后由 老包 于 2008-4-19 03:10 编辑 ]